Category: Big Data

ELK stack, scales nicely and works together seamlessly, is a combination of three open source projects – Elasticsearch: founded in 2012, commercially supported open-source, built on top of Lucene, uses JSON and has rich API Logstash: it’s there since 2009, as a method to stash logs Kibana: it’s around since 2011, to visualize event data ELK is mostly used in log analysis and end to end Big Data analytics. This is a mini tutorial on setting up ELK stack...

Like Google's Bigtable and in hard competition to it, Apache HBase is an open-source, non-relational, scalable, and distributed database developed as part of Apache Software Foundation's Apache Hadoop project. It operates on top of HDFS (Hadoop Distributed File System) in the architectural structure, which has Bigtable capabilities equivalent to Hadoop. Hadoop can perform only batch processing, and data will be accessed only in a sequential manner. That means one has...

In our earlier blog, we learned how to do Metadata injection using Pentaho. In today’s article, we’ll learn how to integrate Pentaho (.prpt) reports with a web application. Typically, to generate reports, it requires working with Pentaho report designer and deploying “.prpt” file onto BI server. But what if we want to use Pentaho reports inside different types of web applications? This article will serve as a tutorial to integrate your .prpt report...

Big Data is an opportunity in sports to enhance players' professionalism and defining an unbeatable strategy to meet the expectations. Since the inception of big data in sports, data scientists have started using this latest data-driven technology to utilize its power and gather the large volume of data to analyze and build game theories. Because of the vast data collected from multiple channels, the sports industry has touched new heights in terms of improving players’...

NoSQL offers multiple benefits for the development of next generation of applications in the era of Big Data. The new applications, use cases, and data needs have many times outgrown the legacy RDBMS model and require a different type of engine, which are fulfilled by NoSQL.