Open Source


Open source refers to software, tools and applications that allow free and open access to manipulate the source code used to write the program. Examples of open source include Linux, Apache, MySQL and Firebird.


NewsIBM is introducing two mainframe servers that run only on the open-source Linux operating system.
Information Management's DM RadioIn its earliest days, Hadoop posed no threat to data warehousing or data federation. All it really did was index the Web. Some eight years after being open-sourced by Yahoo!, however, the YARN-enabled elephant in the room presents a new range of opportunities for data managers. Has Hadoop now matured from the ugly duckling into the swan? Register for this episode of DM Radio to find out! Host Eric Kavanagh and three guests to join.
BlogWhile deploying BI on Hadoop offers multiple benefits, you'll also face a range of challenges.
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NewsGoogle is starting a new company called Alphabet, which will be a subsidiary of Google’s for a while. Then Alphabet becomes the parent company, and Google becomes just one of its subsidiaries. Google co-founder Larry Page will run the overall organization. It's not yet clear how Google will restructure its various entities—in a release issued on Monday, Page promises more details “later this year”—but here's a list of some of Alphabet's other notable businesses.
NewsThe HP Big Data Conference this week in Boston sets the stage for several major analytics milestones ahead of the Hewlett-Packard company breakup.
NewsIn the fast-growth big data market, some pundits spent recent months wondering if Hadoop's rapid rise was set for a slowdown. At least for the moment, Hortonworks has silenced those critics.
NewsEMC and Hortonworks are expanding their relationship, hoping to accelerate customer adoption of Hadoop-based data lakes for big data applications.
NewsIBM continues to invest in Apache Spark -- an open source platform for big data analytics. The latest moves involve Apache Spark for Linux running on IBM mainframes, plus partnerships with three data-mining software companies.
BlogThe continual increase in unstructured big data from the Internet of Things, the changeable requirements for developing successful mobile apps and the trend for user-generated content are paving the way for the databases to prove their value.
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NewsLike an up-and-coming baseball club adding another big bat to its lineup, Hortonworks has hired Ingrid Burton as chief marketing officer. So what's next for the open enterprise Hadoop company? The Hortonworks executive team shared key answers in recent interviews with Information Management.
Simplify the big data conversation within your organization. Here are 10 priorities to get you started – care of TDWI Research.
Information Management's DM RadioWhat happens when the keys to the castle fall into the public's hands? That's basically what's happening in the world of predictive analytics these days. Thanks to the open-source movement of R, a programming language, tools that once cost plenty are now available for free; and enterprise hardened versions of those tools can be had for a fraction of the cost from days gone by. What's happening in this movement, and how can you take advantage? Register for this episode of DM Radio to find out! Host Eric Kavanagh interviews Steve Miller of Inquidia, Bill Franks of Teradata and Andrie de Vries of Revolution Analytics, a Microsoft Company.

With the Information Superhighway now stretching to practically everywhere, anyone in charge of corporate data has something in common – the need for an effective means of governance. While the challenges vary from one industry and company to the next, the underlying reality is universal: businesses that hope to remain agile must find a way to secure a strategic view of enterprise data. There will never be a silver bullet for marshalling the increasing volumes of data, but at least there is one irrefutable truth: a unified data management platform can solve most of the problems that information managers encounter. In fact, by creating a centralized repository for data definitions, lineage, transformations and movements, companies can avoid many troubles before they occur.

The benefits of a unified data management platform are many. They include:

* Improved data quality

* Better reporting and analysis

* Facilitated compliance

* Streamlined business processes

* Increased enterprise agility
14:57Companies selling traditional data integration tools impose a ‘data tax’ on their customers. But what exactly is this data tax? It’s all the unpredictable, hidden costs you’ll incur over the lifetime of your software. Because unlike Talend, proprietary data integration vendors base their business models and pricing on data volume. As your data increase, so will your costs.
16:50Data governance is an outstanding business strategy that leads your company toward greater efficiency, lower risk and increased revenue. Proper management of data underpins the success many strategic initiatives. However, it is not always easy for others to see its value. This white paper discusses the techniques that have been successful for data champions as they "sell" the importance of data governance to their company. It examines guidelines for optimal project selection, tracking the value of data governance and techniques for overcoming objections to a data governance program.
14:53Organizations have long sought to leverage the knowledge embedded within their existing data assets. However, this desire often clashes with a corporate data environment that is siloed and inconsistent. Many organizations may have already invested in solving data integration, data quality and master data management solutions; however, there is interdependence between these technologies that truly maximizes data utility across the enterprise.
14:55Open source data integration tools can provide the cost advantages of hand?coding with the productivity advantages of traditional data integration software. They are established in the developer tools market which has been the traditional stronghold of open source software. Expect open source to be a key component of data integration (and especially of operational data integration) in the near future, similar to the way it is a key component of application development environments today.
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