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70-512-Csharp - Visual Studio Team Foundation(R) Server 2010 Administration CCsharp - Dump Information

Vendor : Microsoft
Exam Code : 70-512-Csharp
Exam Name : Visual Studio Team Foundation(R) Server 2010 Administration CCsharp
Questions and Answers : 60 Q & A
Updated On : November 19, 2018
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70-512-Csharp Questions and Answers

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70-512-Csharp Visual Studio Team Foundation(R) Server 2010 Administration CCsharp

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70-512-Csharp exam Dumps Source : Visual Studio Team Foundation(R) Server 2010 Administration CCsharp

Test Code : 70-512-Csharp
Test Name : Visual Studio Team Foundation(R) Server 2010 Administration CCsharp
Vendor Name : Microsoft
Q&A : 60 Real Questions

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Microsoft Microsoft Visual Studio Team

Microsoft build 2018: Microsoft lays out plans for visual Studio | killexams.com Real Questions and Pass4sure dumps

Microsoft is engaged on improving the consumer event of its software construction ambiance, visible Studio. The business lately printed its visual Studio Roadmap for the next two quarters.

according to Microsoft, the road – map is only a peek into what’s subsequent for visible Studio and while it contains one of the crucial massive aspects the crew is working on and a rough time frame of when they should be obtainable, it isn't a full list of what’s to come.

visual Studio 2017 will continue to follow the business’s release rhythm applied after visible Studio 2015. in its place of giant quarterly releases, Microsoft aims to make smaller and more popular minor updates. Minor updates will ship about each six weeks, and servicing updates will ship greater without delay.

The business in early April launched edition 15.7 preview 3 of visual Studio 2017. The liberate blanketed updates to standard windows Platform building, C++ building improvements, updates to Xamarin and .internet cell building, the capability to configure installation locations, debugger aid and are living unit checking out advancements.

facets anticipated between now and June consist of a new linked service for Azure Key Vault in C# apps, continual delivery for Azure functions using visual Studio, capacity to swap Git branches sooner, JIT debugging for .internet Core, superior startup and answer load performance, and the ability to set a local thread identify with the SetThreadDescription API in C++.

at the moment nevertheless in preview is Micro – delicate’s Android designer split View, visible Studio are living Share Preview, and automatic iOS provisioning from visual Studio.

whereas Q2 will encompass updates for all workloads, its .internet Core workloads, C++, popular windows Platform, Python development and cellular building areas will get a lot of focus, the enterprise introduced.

The Q3 unlock will center of attention on computer building with C++ and visual Studio extension development. points planned for Q3 consist of more suitable continual birth capabilities, multicursor and multi-choice enhancing, C++ debugger enhancements, extension packs, potential to put up to the visible Studio market the usage of a command line, and greater improvements to the startup and answer load efficiency.

lots of this work will be detailed at Microsoft’s build conference may 7-10. and many Microsoft partners should be reachable to talk about aid for these new elements. meanwhile, this showcase offers a look at lots of those companions and the equipment they provide to lengthen and raise the visible Studio ecosystem, including visual Studio group capabilities, Microsoft Azure, SQL Server and more.

GrapeCity reimagines enterprise appsProductive, pass-platform .internet development with JetBrains RiderLEADTOOLS: One SDK, numerous platformsProgress allows for the next day’s apps todayMicrosoft build associate show off


Microsoft groups Is New and a part of visible Studio group features | killexams.com Real Questions and Pass4sure dumps

information

Microsoft teams Is New and part of visual Studio team services

Microsoft teams is a new chat-based service it really is part of workplace 365, used for real-time dialog and collaboration amongst a number of group contributors connected to initiatives. it's additionally being integrated into visual Studio team services.

  • by means of Michael Domingo
  • 11/02/2016
  • Add an extra chat-based service to the starting to be market of Slack-like collaboration equipment: Microsoft this week brought a preview of a new chat-primarily based service called Microsoft groups. it's a part of Office365, and its extensibility makes it a natural healthy for use within visible Studio team functions.

    Microsoft CEO Satya Nadella added Microsoft group at an event in big apple. there's presently no indication that the service is as a result of any technology acquisition and may be scratch-built from the floor up.

    In a post on the office blog, workplace company vice chairman Kirk Koenigsbauer describes Microsoft teams as an "a completely new adventure that brings collectively americans, conversations and content material -- together with the tools that teams need -- in an effort to with ease collaborate to achieve greater."

    "it's naturally integrated with the popular workplace purposes and is constructed from the floor up on the office 365 international, cozy cloud," he provides, and Skype expertise -- specially, voice and video capabilities -- were incorporated into it. anyway hooks to observe, Excel, PowerPoint, SharePoint, PowerBI and OneNote, it hooks to less frequent Planner, Delve and Graph apps. (Redmond Editor Jeffrey Schwartz gives a complete view and have an effect on file of Microsoft groups in this article on Redmondmag.com.)

    For developers, Microsoft groups is already included into visual Studio crew functions. "starting these days, group functions clients can stay up up to now with signals for work objects, pull requests, commits, and builds the usage of the Connectors inside Microsoft teams," writes Derrick Fu, a software manager with VSTS, in a blog post. "every Connector adventure is its personal conversation, enabling users to be notified of activities they care about and talk about them with their group."

    teams are additionally incorporated into VSTS Kanban boards, which capacity are living refresh, card styling, tag coloring, extensions elements might be purchasable whereas monitoring work objects. This capacity, as well as unlock signals, could be rolled out on November 9.

    Microsoft is additionally releasing a software construction kit will permit developers to hook their apps to teams, and may be constructing capabilities into the Microsoft Bot Framework with a purpose to permit builders to build Bots for the use of chats to automate team interaction and facts acquisition (more about bots will also be found right here). developers interested in getting access to those capabilities can discover extra about gaining access to the Microsoft groups Developer Preview.

    in regards to the creator

    Michael Domingo is an extended-time application publishing veteran, having started up and managed a number of developer publications for the Clipper compiler, Microsoft entry, and visual fundamental. he is also managed IT pubs for 1105 Media, including Microsoft certified knowledgeable magazine and Virtualization evaluate earlier than touchdown his latest gig as visual Studio journal Editor in Chief. anyway his publishing existence, he is an expert photographer, whose work can be found by Googling domingophoto.


    Microsoft knowledgeable talks visual Studio group features, DevOps tools | killexams.com Real Questions and Pass4sure dumps

    Microsoft has claimed a leadership function in the DevOps area as a big-dealer DevOps tools provider along with rivals, including IBM, CA applied sciences and Hewlett Packard business, in addition to a bunch of smaller agencies assisting to guide the can charge.

    A key part of Microsoft's ascension to leadership ranks is Microsoft expert Sam Guckenheimer. Guckenheimer, who has been at Microsoft considering that 2003, is the product owner of Microsoft visible Studio team capabilities (VSTS) -- the successor to visual Studio group system. He got here to Microsoft from IBM, which had currently received Rational, the place Guckenheimer spent a couple of years honing his utility lifecycle management (ALM) talents. He has 30 years of experience as an architect, developer, tester, product supervisor, venture manager and prevalent manager in the application industry.

    So, how did Microsoft become a DevOps leader? SearchSoftwareQuality caught up with Guckenheimer for a wide-ranging interview. Nicole Forsgren, CEO and chief scientist of DevOps research and assessment, also joined the dialogue.

    i know Microsoft is the use of its software construction lifecycle/DevOps tools at scale internally, but how are different groups using the Microsoft team building stack at scale?

    Sam Guckenheimer: VSTS, which is the hosted carrier, is now used by way of a few dozen organizations at the above-1,000-consumer degree. We had somebody use it for 5,000 users. Most of them have migrated from TFS [Team Foundation Server] on prem, but if you examine our entire inhabitants of VSTS users, the minority all started with TFS. there is an immense distribution of groups. you're going to see corporations like Shell completely gung-ho on getting every little thing into a SaaS and cloud mannequin for their users. you will see others in a transition. Most of our customers are some region along the transition. we've some smaller valued clientele who're cloud-native; this is where they begun. These are usually startups or startup projects inside significant groups.

    What are one of the most tendencies that you just're seeing in terms of what corporations are seeking -- primarily those with some level of expertise?

    Guckenheimer: one of the most general conversations I get pulled into is the DevOps lifestyle conversation and how organizations should organize. one of the most experiences is that companies start doing continual integration and continuous delivery, however they still have separate QA departments or separate ops groups. So, they're siloed. They respect a problem because they have got complications collaborating or with handoffs.

    I believe with that you see a large pattern of americans going to continual delivery after which monitoring effects and usage and using that to notify what they do next. here is the place it be best to have quantitative and qualitative -- or system and survey -- metrics together, because you can measure patterns. but you also deserve to ask individuals what they're doing.

    What influence does DevOps have on protection?

    Guckenheimer: The high [DevOps] performers are transferring safety left in a huge approach. The traditional safety thought became that or not it's the CISO's [chief information security officer's] problem -- we scan before unencumber, we generate this massive stack of issues that then get triaged out etc. the new observe says we desire safety executed from the time the code alternate is made or the infrastructure change is made. So, we will instantly verify security on the open-supply programs we consume. we are able to scan for safety error like credentials in code. we are going to do incremental code evaluation and work this stuff as a long way left into the developer's workflow as we are able to.

    Of route, they continue to offer protection to the perimeter, and that they continue to use antivirus and use at ease identities. but also, they deal with security errors like any different great considerations and say, 'We need these handled when the code is sparkling, should you're engaged on it.'

    a couple of my favorite partners consist of WhiteSource, which lets you put into your pipeline an automatic scanning of the entire open supply that you simply're using. You get a listing, and you get notification of any vulnerabilities. And if subsequent vulnerabilities are present in the wild, you get notified that that can destroy the construct. The other partner is Aqua, which is without problems doing that for containers as they are composed by way of the developer. these are each small startups that are starting to be like wildfire as a result of they're hitting a sore spot.

    Nicole Forsgren: And what we're seeing is that high performers have 50% much less protection remediation. by using transferring left on security, they are getting bigger exceptional, greater comfortable utility. And it's not slowing down speed or affecting steadiness.

    How have the DevOps tools developed? What should come subsequent -- as in, what are some of the ache points that need to be addressed?

    Guckenheimer: First, how they have got advanced is that we've gone from being concerned about continuous integration a few years ago to considering continuous delivery as whatever thing we actually need to make handy. And we should make it handy for all the goals individuals need to install to. So, that ability the cloud, on prem or something. We also should work that into the cell circulate, which is more recent and messier, because with cell building you have the different kind factors and the app retailers within the middle. it really is unlike a server or cloud carrier the place you just set up. With mobile, you get your application onto the gadget by way of the app shop, and that potential you need an intermediate mechanism to get beta distribution to users. and also you want distinct telemetry on it and so on. So, cell DevOps is definitely some of the massive issues.

    Then, individuals have frequently gotten fairly first rate at monitoring for best of carrier -- making sure every little thing's purchasable and doing application efficiency monitoring. although, there is not at the moment an excellent strategy to take utilization patterns and to turn these into hypotheses about what to do next. So, the complete concept of creating hypotheses for brand new building anything it's functional is whatever thing it really is rising. there is an additional splendid enterprise called LaunchDarkly that we work with as a accomplice this is taking the lead when it comes to that workflow. it really is anything people really need to do a lot more of, and we'll see much more of over the next few years.

    what is the affect of microservices, containers and serverless on DevOps?

    Guckenheimer: There are two directions of affect. One is the popular area of assisting you go sooner. via doing serverless or the usage of containers, you get this very quickly movement from construction to creation. and also you get rid of a lot of the complexity of caring about configuration and environments etc. besides the fact that children, you get a 2nd benefit that that entire method allows you to deploy particular person features faster and permits you to scan faster. for example, that you can do two types of an app in parallel and set up them aspect with the aid of facet and use a load balancer to break up cohorts to the two. and you can compare what they're doing and evaluate medicine towards the handle and make a call on which one to flow ahead. that is been a large rising vogue and will develop into further and further how people work.

    Can AI be helpful in aiding with DevOps?

    Guckenheimer: I feel AI will also be very helpful with production records. for instance, for our telemetry across Azure features, we're collecting about 2.5 petabytes a day of statistics. There isn't any way that human beings can go through that for anomalies. To search for peculiar patterns in that records is definitely whatever thing where computer getting to know helps and may steer you to seem to be at the right stuff.

    where I see a lot of hype from analysts – and i feel it be a lifeless conclusion – is the use of AI predictively the opposite direction, announcing we will look at test effects and we'll improve our checking out by using AI. What I consider individuals truly do is they make it quicker, and that they instrument creation, and they consider about what trying out is redundant and what checking out is missing, and they preserve improving it in a loop in response to effects. You do not actually need AI for that. this is oversold.

    I believe, on the creation facet, the place you've got this unpredictable sample of records, I suppose this is where we can see much more use of AI.

    How does Azure Stack play into your DevOps approach?

    Guckenheimer: Azure Stack, on the easiest degree, is another deployment target. The price of Azure Stack is that enterprises can with no trouble installation a cloud it's deepest or hybrid or disconnected, and they'll then manipulate that in their facts middle and be capable of get lots of the benefits of the pliability of cloud infrastructure, but not must pass the boundary into the public cloud. it's something that loads of individuals, like executive companies, are very drawn to. For us, or not it's an extra deployment goal.

    As a Microsoft skilled, can you summarize how a long way the business has come in the use of its personal development and DevOps equipment?

    Guckenheimer: The largest flip become about three years ago. Satya [Nadella, CEO of Microsoft] and the senior leadership team stated we're going to reverse a corporation coverage that each division can also be liable for its personal engineering device. They mainly spoke of we'll have One Engineering system -- 1ES, for short – that every person makes use of. It should be world-type. It could be the foundation for what we then bring to customers.

    We're attempting to achieve both better of breed and choicest coverage, and i would expense ourselves as being as a minimum within the accurate two of any enviornment you decide upon. Sam GuckenheimerMicrosoft DevOps guru

    The vision with that changed into that any one within the company might offer to make advancements. essentially the most visible issue we did like it's the announcement and open-sourcing of GVFS, the Git virtual File equipment, where we did a 200x to 300x efficiency improvement on Git for significant repositories. That became motivated by way of WDG -- the home windows and contraptions neighborhood -- desiring to deal with the measurement of windows repositories and not being in a position to use Git as it was. So, they collaborated with us, and we did this joint construction and open-sourced it in the course of the Git neighborhood system.

    but there are lots of examples of where engineers at Microsoft, as a substitute of announcing, 'fix this for us,' are now saying, 'let us make contributions.' And the default now could be that any individual within the business has entry to any of the code within the company, which is a hundred and eighty degrees from the place it become four or 5 years ago.

    So, there was no handing off between divisions?

    Guckenheimer: There is this extremely good drawing via an engineer at Google of enterprise org charts, and the one for Microsoft had all the divisions pointing weapons at every other. It become really fragmented; individuals had different strategies, different tools. Going back to way of life, it turned into very complicated in case you had been in home windows to flow across to Azure or to workplace as a result of issues had been basically diverse and the purpose turned into to make that seamless.

    yet another culture component we do this has had a huge impact is, as a substitute of doing an annual company meeting, we now do an annual hackathon week. people register to be part of hackathon teams. it's actively promoted as a method to look to your subsequent job. individuals are inspired to commingle across org boundaries. it's truly first-rate, and there is a ton of energy. loads of product concepts come out of it. or not it's basically diverse. five years ago, giving each person a week to head off and do something distinct from what their management chain had stated was now not what you did.

    As a Microsoft expert, would you consider Microsoft a pacesetter in DevOps?

    Guckenheimer: Of path. in case you seem to be across the tools spectrum, certainly among the many cloud suppliers, I think we now have by means of a long way the most desirable DevOps equipment solution. if you appear among the many experts, there are splendid organizations that light up in certain areas, but I don't feel they combine the breadth with the means. We're making an attempt to achieve each best of breed and surest insurance, and that i would expense ourselves as being at least within the correct two of any area you decide upon.

    but you were later to the game.

    Guckenheimer: yes, in some areas. We had been by means of no capacity the primary to offer Kanban boards or what have you, however I feel we've got caught up with the finest Kanban journey and certainly the top of the line Kanban event with Git workflow. We regularly fee ourselves on that. We weren't the primary managed Git company -- GitHub was. however we are completely competitive now when it comes to potential. There are all these corporations trying to enrich GitHub with continual integration and continual birth; we do each. We don't are trying to compete with GitHub as being the forge where you place all your open source.


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    Visual Studio Team Foundation(R) Server 2010 Administration CCsharp

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    An early look at Team Foundation Build 2010 with Jim Lamb | killexams.com real questions and Pass4sure dumps

    In addition to being one of the nicest guys I know, Jim Lamb also knows a thing or two about build automation. Jim is the program manager responsible for the Team Build capability of Team Foundation Server. Team Build was one of the biggest areas of improvement for Team Foundation Server 2008, but that hasn't stopped the team from doing even more landmark improvments in Team Foundation Server 2010.

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    This is what the best of data journalism looks like | killexams.com real questions and Pass4sure dumps

    All of the work I have done over the past few months has given me a pretty good perspective of what’s going on in the world of data journalism. Managing the Data Journalism Awards competition is probably the greatest way to find out what everybody has been up to and to discover amazing projects from all over the world.

    And today I want to share some of this with you! Most of the examples you will see in this article are projects that either won or got shortlisted for the Data Journalism Awards 2018 competition.

    When a news organisation submits a project, they have to fill in a form asking them to describe their work, but also how they made it, what technology they used, what methodology… And all of this information is published on the website for everyone to see.

    So if you‘re reading this article in the hope of finding some inspiration for your next project, as I am confident you are, then here is a good tip: on top of all of the examples I will show you here, you can take a look at all of the 630 projects from all over the world which were submitted this year, right on the competition website. You’re welcome.

    So what have we learned this year by going through hundreds of data journalism projects from around the world? What are the trends we’ve spotted?

    Data journalism is still spreading internationally

    And this is great news. We see more and more projects from countries that have never applied before, and this is a great indicator of the way journalists worldwide, regardless of their background, regardless of how accessible data is in their country, regardless of how data literate they are, are trying to tell stories with data.

    Some topics are more popular than others

    One of the first things we look at when we get the list of projects each year, is what topics did people tackle? And what we’ve learned from that is that some topics are more attractive than others.

    Whether that’s because it is just easier to find data on them, or it’s easier to visualise things related to those topics, or it’s just the kind of big stories that everyone expects to see data on each year, we can’t really know for all of them. It’s probably a good mixture of all of this.

    The refugee crises

    The first recurrent topic that we’ve seen this past year is the refugee crises. And a great example of that is this project by Reuters called ‘Life in the camps’, which won the award for Data visualisation of the year at the Data Journalism Awards 2018.

    This graphic provided the first detailed look at the dire living conditions inside the Rohingya refugee camps in Cox’s Bazar. Using satellite imagery and data, the graphic documented the rapid expansion and lack of infrastructure in the largest camp cluster, Kutupalong. Makeshift toilets sit next to wells that are too shallow, contaminating water supply.

    This project incorporates data-driven graphics, photo and video. Reuters gained access to data from a group of aid agencies working together to document the location of infrastructure throughout the Kutupalong camp by using handheld GPS devices on the ground. The graphics team recognised that parts of the data set could be used to analyse the accessibility of basic water and sanitation facilities. After some preliminary analysis, they were able to see that some areas had water pumps located too close to makeshift toilets, raising major health issues.

    They displayed this information in a narrative graphic format with each water pump and temporary latrine marked by a dot and overlaid on a diagram of the camp footprint. They compared these locations to the U.N.’s basic guidelines to illustrate the potential health risks. Reuters photographers then used these coordinates to visit specific sites and document real examples of latrines and water pumps in close proximity to each other.

    Technologies used for this project: HTML, CSS, Javascript, QGIS and Illustrator.

    Elections/Politics

    Next topic that came up a lot this year was politics, and more specifically, anything related to recent elections, not just in the US, but also in many other countries. One great example of that was the Data Journalism Awards 2018 ‘News data app of the year’ award winner, ‘The atlas of redistricting’, by FiveThirtyEight in the US.

    There’s a lot of complaining about gerrymandering (the process of manipulating the boundaries of an electoral constituency so as to favour one party or class) and its effects on US politics. But a fundamental question is often missing from the conversation: What should political boundaries look like? There are a number of possible approaches to drawing districts, and each involves tradeoffs. For this project, the team at FiveThirtyEight looked at seven different redistricting schemes; and to quantify their tradeoffs and evaluate their political implications, they actually redrew every congressional district in the U.S. seven times. The Atlas of redistricting allows readers to explore each of these approaches — both for the nation as a whole and for their home state.

    The scope of this project really makes it unique. No other news organization covering gerrymandering has taken on a project of this size before.

    To make it happen, they took precinct-level presidential election results from 2012 and 2016 and reallocated them to 2010 Census voting districts. That enabled them to add more up-to-date political data to a free online redistricting tool called Dave’s Redistricting App. Once the data was in the app, they started the long process of drawing and redrawing all the districts in the country. Then, they downloaded their district boundaries from the app, analysed their political, racial and geometric characteristics, and ultimately evaluated the tradeoffs of the different redistricting approaches. Sources for data included Ryne Rohla/Decision Desk HQ, U.S. Census Bureau, and Brian Olson.

    Technologies used for this project: Ruby, PostGIS, Dave’s Redistricting App, Node, D3

    An other great example of how politics and elections were covered this year comes from the Financial Times. It is called ‘French election results: Macron’s victory in charts’ and was shortlisted for the Data Journalism Awards 2018 competition.

    Let’s say it, elections are a must for all data news teams around the world. That’s probably the topic where the audience is the most used to seeing data combined with maps, graphics and analysis.

    Throughout 2017 and 2018, the Financial Times became an expert in:

  • producing rapid-response overnight analyses of elections,
  • leveraging their data collection and visualisation skills to turn around insightful and visually striking reports on several elections across Europe,
  • responding faster than other news organisations both in the UK and even those based in the countries where these elections have taken place.
  • Over and above simply providing the top-line results, they have focused on adding insight by identifying and explaining voting patterns, highlighting significant associations between the characteristics of people and places, and the political causes they support.

    To deliver this, the team developed highly versatile skills in data scraping and cleaning. They also have carried out ‘election rehearsals’ — practice runs of election night to make sure their workflows for obtaining, cleaning and visualising data were all polished, and robust to avoid any glitches that might come up on the night of the count.

    The work has demonstrably paid off, with readers from continental Europe outnumbering those from Britain and the United States — typically far larger audiences for the FT — for the data team’s analyses of the French, German and Italian elections.

    For each election, the team identified official data sources at the most granular possible level, with the guidance of local academic experts and the FT’s network of correspondents.

    R scripts were written in advance to scrape the electoral results services in real time and attach them to the static, pre-sourced demographic data.

    Scraping and analysis was primarily conducted in R, with most final projection graphics created in D3 — often adapting the Financial Times’ Visual Vocabulary library of data visualisation formats.

    Technologies used for this project: R, D3.

    Crime

    The last topic that I wanted to mention that was also recurrent this past year is crime. And to illustrate this, I’ve picked a project called ‘Deaths in custody’ by Malaysiakini in Malaysia.

    This is an analysis of how deaths in police custody are reported, something that various teams around the world have been looking at recently. The team at Malaysiakini compared 15 years of official police statistics with data collected by a human rights organisation, called Suaram. The latter is the sole and most comprehensive tracker of publicised deaths in police custody in the country.

    The journalists behind this project found that overall, deaths in Malaysian police custody are underreported, with one in four deaths being reported to the media or to Suaram.

    They also highlight the important role that families of victims play in holding the police accountable and pushing to investigate the deaths. They created an interactive news game and a guide on what to do if somebody is arrested, both of which accompany the main article, taking inspiration from The Uber game that the Financial Times developed in 2017.

    The game puts players in the shoes of a friend who is entangled in a custodial dilemma between a victim and the police. Along the way, there are fact boxes that teach players about their rights in custody. The real-life case that the game is based on is revealed at the end of the game.

    Technologies used for this project: Tabula, OpenRefine, Google Sheets, HTML, CSS, Javascript, UI-Kit Framework, Adobe Photoshop.

    We’ve changed the way we do maps

    Another thing that we’ve learned by looking at all these data journalism projects is that we have changed the way we do maps.

    Some newsrooms are really getting better at it. Maps are more interactive, more granular, prettier too, and integrated as part of a narrative instead of standing on their own, making us think that more and more journalists don’t do maps for the sake of doing maps, but for good reasons.

    An example of how data journalists have made use of maps this past year is this piece by the BBC called ‘Is anything left of Mosul?’

    It is a visually-led piece on the devastation caused to Mosul, Iraq, as a result of the battle to rid the city of Islamic State (IS). The piece not only gives people a full picture of the devastating scale of destruction, it also connects them to the real people who live in the city — essential when trying to tell stories from places people may not instantly relate to.

    It was also designed mobile-first, giving users on small screens the full, in-depth experience. The feature uses the latest data from Unosat, allowing the BBC team to map in detail which buildings had suffered damage over time, telling the narrative of the war through four maps.

    The feature incorporates interactive sliders to show the contrast of life before the conflict and after — a way of giving the audience an element of control over the storytelling.

    They also used the latest data from the UNHCR, which told them where and when displaced people in Iraq had fled to and from. They mapped this data using QGIS’ heatmapping software and visualised it using their in-house Google Maps Chrome extension. They produced three heatmaps of Mosul at different phases of the battle, again telling a narrative of how the fighting had shifted to residential targets as the war went on.

    The project got nearly half a million page views over several days in English. They also translated the feature into 10 other languages for BBC World Service audiences around the world.

    Technologies used for this project: QGIS mapping software, Microsoft Excel, Adobe Illustrator, HTML, CSS, Javascript, Planet satellite imagery, DigitalGlobe images

    Another example of how the data journalism community has changed the way it does maps, is this interactive piece by the South China Morning Post called ‘China’s Belt and Road Initiative’.

    The aim of this infographic is to provide context to the railway initiative linking China to the West.

    They combined classic long-form storytelling with maps, graphs, diagrams of land elevations, infrastructure and risk-measurement charts, motion graphics, user interaction, and other media. The variety of techniques were selected to prevent the extensive data from appearing overwhelming. The split screen on the desktop version meant readers could refer to the route as they read the narrative.

    We are not talking about boring static maps anymore. And this is an example of how new teams around the world, and not just in western countries, are aiming for more interactivity, and a better user journey through data stories, even when the topic is complex. It is thanks to the interactivity of the piece and the diversity of elements put together that the experience becomes enticing.

    They used data from the Economist Intelligence Unit (EIU). Using Google Earth, they plotted and traced the path of each initiative to obtain height profiles and elevations to explain the extreme geographical environments and conditions.

    Technologies used for this project: Adobe Creative Suite (Illustrator, Photoshop…), QGIS Brackets io Corel Painter, Microsoft Excel, Javascript, Canvas, JQuery, HTML, CSS — CSS3, Json, CSV, SVG.

    New innovative data storytelling practices have arrived

    Another thing we saw was that data teams around the world are finding new ways to tell stories. New innovative storytelling practices have arrived and are being used more and more.

    Machine learning

    It is probably the most used term in current conversations about news innovation. It has also been used recently to help create data-driven projects, such as ‘Hidden Spy Planes’ by BuzzFeed News in the US, the winner of the JSK Fellowships award for innovation in data journalism at this year’s Data Journalism Awards.

    This project revealed the activities of aircrafts that their operators didn’t want to discuss, opening the lid on a black box of covert aerial surveillance by agencies of the US government, the military and its contractors, and local law enforcement agencies.

    Some of these spy planes employed sophisticated surveillance technologies including devices to locate and track cell phones and satellite phones, or survey Wi-Fi networks.

    Before these stories came out, most Americans would have been unaware of the extent and sophistication of these operations. Without employing machine learning to identify aircraft engaged in aerial surveillance, the activities of many of aircraft deploying these devices would have remained hidden.

    In recent years, there has been much discussion about the potential of machine learning and artificial intelligence in journalism, largely centered on classifying and organising content with a CMS, on fact-checking for example.

    There have been relatively few stories that have used machine learning as a core tool for reporting, which is why this project is an important landmark.

    Technologies used for this project: R, RStudio, PostgreSQL, PostGIS, QGIS, PostGIS, OpenStreetMap

    Drone journalism

    Another innovative storytelling practice that we’ve noticed is drone journalism, and here is an example called ‘Roads to nowhere’ from The Guardian.

    It is an investigation using drone technology, historical research and analysis, interviews, as well as photomosaic visualizations.

    It was a project that specifically looked at infrastructure in the US and the root causes of how cities have been designed with segregation and separation as a fundamental principle. It shows through a variety of means how Redlining and the interstate highway system were in part tools to disenfranchise African-Americans.

    People are still living with this segregation to this day.

    Most of the photos and all of the videos were taken by drone in this project. This is innovative in that it is really the only way to truly appreciate some of the micro-scale planning decisions taken in urban communities throughout the US.

    Technologies used for this project: DJI Mavic Pro drone, a Canon 5Diii camera to take the photos, Shorthand, Adobe Photoshop. Knightlab’s Juxtapos tool to make it come to life with the slide tool

    AR

    Another innovative technique that has a lot of people talking at the moment is Augmented Reality, and to illustrate this in the context of data journalism, I am bringing you this project called ExtraPol by WeDoData in France.

    Extrapol is an augmented reality app (iOS and Android) that was launched a month before the French presidential campaign in April 2017. Everyday, official candidates posters could be turned into new live data visualisations to inform the audience on the candidates. This data journalism project treated 30 topics in data such as: their geographical travels in France during the campaign, the cumulated number of years they have ruled a political mandate, etc.

    This is probably the first ephemeral daily data journalism news app which uses augmented reality. This was the first time that real life materials, the official candidates posters, were ‘hacked’ to fact news on the politicians.

    Technologies used for this project: Python, Javascript, HTML, CSS, PHP, jsFeat, TrackingWorker, Vuforia, GL Matrix, Open CV, Three.js, Adobe Illustrator, After Effect and Photoshop

    Newsgames

    They aren’t a new trend, but more and more newsrooms are playing with this. And this example, called ‘The Uber Game’ by the Financial Times in the UK, has been a key player in the field this year, inspiring news teams around the world…

    This game puts you into the shoes of a full-time Uber driver. Based on real reporting, including dozens of interviews with Uber drivers in San Francisco, it aims to convey an emotional understanding of what it is like to try to make a living in the gig economy.

    It is an innovative attempt to present data reporting in a new, interactive format. It was the third-most read by pageviews throughout 2017.

    Roughly two-thirds of people who started the game finished it — even though this takes around 10 minutes and an average of 67 clicks.

    Technologies used for this project: Ink to script the game, inkjs, anime.js, CSS, SCSS, NodeJS, Postgres database, Zeit Micro, Heroku 1X dynos, Standard-0 size Heroku Postgres database, Framer, Affinity Designer

    Collaborations are still a big thing

    And many organisations worldwide have had a go at it, in many regions around the world.

    Paradise Papers

    Of course we have the Paradise Papers investigation (pictured above) coordinated by the ICIJ with 380 journalists worldwide.

    Based on a massive leak, it exposes secret tax machinations of some of the world’s most powerful people and corporations. The project revealed offshore interests and activities of more than 120 politicians and world leaders, including Queen Elizabeth II, and 13 advisers, major donors and members of U.S. President Donald J. Trump’s administration. It exposed the tax engineering of more than 100 multinational corporations, including Apple, Nike, Glencore and Allergan, and much more.

    If you want to know more about how this was done, go to the Data Journalism Awards 2018 website where that information is published.

    The leak, at 13.4 million records, was even bigger in terms of the number of records than the Panama Papers, and technically even more complex to manage.

    The record set came from an array of sources from 19 secrecy jurisdictions. It also contained more than 110,000 files in database or spreadsheet formats (excel, CSVs and SQL). ICIJ’s data unit used reverse-engineering techniques to reconstruct corporate databases. The team scraped the records in the files and created a database with information of companies and individuals behind them.

    The team then used ‘fuzzy matching’ techniques and other algorithms to compare the names of the people and companies in all these databases to lists of individuals and companies of interest, including prominent politicians and America’s 500 largest publicly traded corporations.

    Technologies used for this project:

  • For data extraction and analysis: Talend Open Studio for Big Data, SQL Server, PostgreSQL, Python (nltk, beautifulsoup, pandas, csvkit, fuzzywuzzy), Google Maps API, Open Street Maps API, Microsoft Excel, Tesseract, RapidMiner, Extract
  • For the collaborative platforms: Linkurious, Neo4j, Apache Solr, Apache Tika, Blacklight, Xemx, Oxwall, MySQL and Semaphor.
  • For the interactive products: JavaScript, Webpack, Node.js, D3.js, Vue.js, Leaflet.js and HTML.
  • For security and sources protection: GPG, VeraCrypt, Tor, Tails, Google Authenticator, SSL (client certificates) and OpenVPN.
  • Monitor da violencia

    Now here is an other collaborative project that you may not know of but is also quite impressive. It is called ‘Monitor da Violencia’, and it won the Microsoft award for public choice at this year’s Data Journalism Awards. It was done by G1 in Brazil, in collaboration with the Center for the Study of Violence at University of São Paulo (the largest university in Brazil) and the Brazilian Forum of Public Security (one of the most respected public security NGOs in Brazil).

    This project is an unprecedented partnership which tackles violence in Brazil. To make it possible, G1 staff reporters all over Brazil kept track of violent deaths through the course of one week. Most of these are crimes that generally become forgotten — cases of homicides, robberies, deaths by police intervention, and suicides. There were 1,195 deaths in this period — one every 8 minutes on average.

    All these stories have been cleared and written by more than 230 journalists spread throughout Brazil. This is a small sample — compared to the 60,000 annual homicide rate — but it represents a picture of the violence in Brazil.

    The project aims at showing the faces of the victims; trying to understand the causes of this epidemic of deaths. As a first step, a news piece was written for each one of the violent deaths. An interactive map, complete with search filters, showed the locations of the crimes as well as the victim’s photos.

    The second step was a collective and collaborative effort to find the names of unidentified people. A campaign was launched, including online, on TV and social media, so that people could help identify many of the victims.

    A database was assembled from scratch, containing information such as the victims’ name, age, race, and gender. Also, the day, time, weapon used, and the exact location of the crime, among others.

    Technologies used for this project: HTML, CSS, Javascript, Google Sheets, CARTO

    Onwards and upwards for data journalism in 2018

    The jury of the Data Journalism Awards, presided over by Paul Steiger, selected 13 winners (and one honorable mention) out of the 86 finalists for this year’s competition, and you can find the entire list, accompanied by comments from jury members, on the Data Journalism Awards website.

    The insights I’ve listed in this article today show us that not only is the field ever-growing, it is also more impactful than ever, with many winning projects bringing change in their country.

    Congratulations again to all of the winners, shortlisted projects, but also to all the journalists, news programmers, and NGOs pushing boundaries so that hard-to-reach data becomes engaging and impactful projects for news audiences.


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