Big data platforms and ecosystems emerged from the need to efficiently handle data volumes, velocities, and varieties that had not previously existed.
Tags : Hadoop, business intelligence, BI, big data
In today’s technology world, Big Data is a hot IT buzzword. To mitigate the complexity in processing large volumes of data, Apache developed Hadoop – a reliable, scalable and distributed computing framework. Read on to learn more.
Tags : Hadoop, IT, big data
Learn about new data persistence technologies including NOSQL and NewSQL databases as well as about CAP theorem, useful data access patterns, and good practices applicable to enterprise application programming with Big Data.
Tags : NoSQL, database, Persistence, Enterprise, big data, newsql
Learn about Big Data processing techniques addressing, but not limited to, various BI (business intelligence) requirements such as reporting, batch analytics, online analytical processing (OLAP), data mining, text mining, complex event processing (CEP), and predictive analytics.
Tags : Java, reporting, business intelligence, analytics, big data
Today, developers interested in Big Data can easily be lost in the jungle of numerous new technologies. Get a clear view on the Big Data technology landscape and learn to pick the most suited techniques for your Java software projects.
Tags : Java, big data, high-availability, scalability
The buzz around NoSQL solutions has reached stratospheric heights. This buzz has led many Microsoft SQL Server development shops to start looking at how and where a NoSQL solution can fit into their business.
Tags : NoSQL, relational database, big data, MS SQL
Mike Lamble examines the current big data landscape and focuses on the analytics needed to make these exabytes actionable. Today’s DBMS for big data analytics must meet specific requirements that are outlined in this article.
Tags : Hadoop, NoSQL, analytics, big data, big data analytics