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.

BlogWe've come a long way since the early days of open source BI. Here's a look at the evolution and the true value-add.
Comments (1)
NewsMapR, one of the best-known providers of Hadoop, has declined to participate in the Open Data Platform. Now, CEO CEO John Schroeder explains why.
NewsCenturyLink has acquired a Orchestrate, a cloud-based database for rapid application development. The move potentially empowers CenturyLink with deeper NoSQL, big data analytics, cloud and Database as a Service (DBaaS) capabilities.
AnalysisWhen your Hadoop project moves into production mode, you need more powerful capabilities than the default analytic tools that come with Hadoop distributions.
NewsDocker, which promotes open source software containers that ease cloud and on-premises application deployments, has raised funds at a valuation of about $1 billion, according to a source with knowledge of the deal.
NewsHortonworks is buying SequenceIQ in a bid to speed cloud- and Docker-based Hadoop deployments. The move comes as a range of hardware, software and cloud companies seeks to make Hadoop easier for big data customers to activate.

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.
Please note you must now log in with your email address and password.