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.

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NewsAt Strata+Hadoop World, Information Management explores the state of Hadoop as a big data platform for analytics ad data scientists.
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NewsAmerican Express has plenty of data and analytics experience. But machine learning has allowed the company's scientists to harness the full power of data. Here's how.
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NewsSAP SE has become the latest big technology company to throw its weight behind open-source data-sifting software called Spark as it tackles information streaming from industries such as retail, telecommunications and transport.
NoSQL databases are increasingly popular for big data applications. But which NoSQL database software options are most ideal for your potential application needs?
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.

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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