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.


FeatureThe goal of decentralization is “to make the web open, secure and free of censorship by distributing data, processing, and hosting across millions of computers around the world, with no centralized control."
BlogWe're moving from expensive and specialist analytics teams towards an environment in which processes, workflows, and decision-making throughout an organisation can become usefully data-driven.
Spending on information technology is on the increase in the government sector this year, and that includes a significant portion toward data management and data analytics related issues. This week research firm Gartner Inc. released its report on “The Top 10 Strategic Technology Trends for Government in 2016.”
FeatureDifferent levels of the stack, including storage, database, clustering, data flow, data processing, analytics, and messaging are all composed together to form the final product.
FeatureThe entire data center is evolving. Five years from now, every organization of any size will look at its data center in a completely different light.
BlogFrom main-memory options to NoSQL solutions, why the database market had to evolve for big data, cloud, mobile and social computing needs.
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This slideshow contains predictions of a frank and bold nature, which are intended for a mature data science audience.
NewsIBM has announced a new cloud-based service that enables developers to automatically translate cloud and mobile apps into the world’s 10 most-spoken languages.
FeatureLet's assume you want to run database as a service (DBaaS) in production. You can do that leveraging OpenStack. Here's how.
NewsAt Strata+Hadoop World, Information Management explores the state of Hadoop as a big data platform for analytics ad data scientists.

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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