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.

NewsJust when some big data tools seem to be hitting a wall, along comes Apache Spark -- an open source platform for fast data processing. But is Spark ready for business?
NewsWhat would happen to Linux -- the Internet, server and mobile operating system -- if creator Linus Torvalds dies? It’s a morbid but important discussion.
BlogIf you can't govern quality, security, and privacy, then your Hadoop efforts will face serious challenges.
NewsInternational Business Machines Corp. will invest “hundreds of millions a year” into a free data analytics technology, according to Beth Smith, general manager of the company’s analytics division.
NewsWhat's the big data use case for Hadoop? Executives representing Home Depot, Rogers Communications, Schlumberger, Symantec and Verizon shared answers at Hadoop Summit.
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NewsInternational Business Machines is pouring resources into Spark -- an open source software offering that could reshape the big data and analytics markets.
BlogHighlights from the seventh annual conference of applied finance using R.
NewsLarge, midsize and webscale businesses are describing their latest big data and analytics projects at this week's Hadoop Summit in San Jose. Here's a sampling of the milestones.
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AnalysisIf business units are clamoring for intensive analytics that will stretch your organization’s storage capabilities to the maximum, it’s time to get familiar with Hadoop. Here's why.
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NewsSalesforce Wave for Big Data seeks to give business professionals key insights into data across sales, marketing, ERP and more. Key partners include Google, Cloudera, Hortonworks, New Relic, Informatica and Trifacta.

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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