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Data Lake & Hadoop : How can they power your Analytics?

How can a combination of Data Lake and Hadoop power Analytics? Powering analytics through a data lake and Hadoop is one of the most effective ways to increase ROI. It’s also an effective way to ensure that the analytics team has all the right information moving forward. There are many challenges that research teams have …

Kafka Streams-Guide to Apache Kafkas Core

Kafka Streams: Guide to Apache Kafka’s Core

Kafka Streams is a customer library for preparing and investigating data put away in Kafka. It expands upon important stream handling ideas, for example, appropriately recognizing occasion time and developing time, windowing backing, and necessary yet useful administration and constant questioning of utilization states. What is Kafka Streams? Kafka Streams gives purported state stores, which …

SMACK (Spark, Mesos, Akka, Cassandra and Kafka) & Fast Data

SMACK (Spark, Mesos, Akka, Cassandra and Kafka) & Fast Data

As enterprises strive to realize and identify the value in Big Data, many now seek more agile and capable analytic systems. Some of the key factors supporting this include improving customer retention, influence product development and quality and increasing operational efficiencies among others. Organizations are looking to enhance their analytics workloads to drive several real-time …