Apache Flink for Stream Processing

There are different stream processing frameworks like Apache Storm, Apache Spark, Apache Samza, Apache Flink, etc which has unique features. In this post, lets see about the features of Apache flink. Before we get started with the features, lets see what is flink? Flink: Apache Flink is a distributed streaming Read more…

By Mohamed Rilwan, ago

Graph Analytics with Neo4j

Graph Analytics: Data is great, but true insight comes from examining relationships between data points. Hiding somewhere in your data are patterns of relationships representing money on left on the table – if only they could be discovered. Some companies use graphs to efficiently compute recommendations, organize social networks, manage Read more…

By Mohamed Rilwan, ago

Complex Event Processing

          With the ubiquity of sensor networks and smart devices continuously collecting more and more data, we face the challenge to analyze an ever growing stream of data in near real-time. Being able to react quickly to changing trends or to deliver up to date business Read more…

By Mohamed Rilwan, ago

10 V’s of Big Data

                               The 4 V’s of big data in the past few years, with many articles, opinions, criticisms, and hyped messages having been delivered on that subject. Objectively, the main point of the V-based characterization of big Read more…

By Mohamed Rilwan, ago
Data Lake

Hadoop Data Lake

                           Data lake is one logical starting point towards being data-driven in an agile way. In this post we will see hadoop based data lake, high level architecture and its components. Data lake is the centralized repository of Read more…

By Mohamed Rilwan, ago