spark 2.0

They said Spark Streaming simply means Discretized Stream

Reading Time: 3 minutes I am working in a company (Knoldus Software LLP) where Apache Spark is literally running into people’s blood means there are certain people who are really good at it. If you ever visit our blogging page and search for stuff related to spark, you will find enough content which is capable of solving your most of spark related queries, starting form introductions to solutions for Continue Reading

Spark Structured Streaming: A Simple Definition

Reading Time: 3 minutes “Structured Streaming”, nowadays we are hearing this term in Apache Spark ecosystem quite a lot, as it is being preached as next big thing in scalable big data world. Although, we all know that Structured Streaming means a stream having structured data in it, but very few of us knows what exactly it is and where we can use it. So, in this blog post Continue Reading

Cassandra with Spark 2.0 : Building Rest API !

Reading Time: 3 minutes In this tutorial , we will be demonstrating how to make a REST service in Spark using Akka-http as a side-kick¬† ūüėȬ† and Cassandra as the data store. We have seen the power of Spark earlier and when it is combined with Cassandra in a right way it becomes even more powerful. Earlier we have seen how to build Rest Api on Spark and Couchbase Continue Reading

KnolX: Introduction to Apache Spark 2.0

Reading Time: 1 minute Knoldus organized a KnolX session on Friday, 23 September 2016. In that one hour session we got an introduction of Apache Spark 2.0 and its API(s). Spark 2.0 is a major release of Apache Spark. This release has brought many changes to API(s) and libraries of Spark. So in this KnolX, we looked at some improvements that were made in Spark 2.0. Also, in this KnolX we got an Continue Reading

Spark Session: New Entry point in Spark 2.0

Reading Time: 2 minutes Finally, after a long wait, Apache Spark 2.0 got released on 26 July 2016, Tuesday. This release is built upon the feedback got from industry, in past two years, regarding Spark and its APIs. This means it has all what Spark developers loved to use and all that which was not liked by developers has been removed. Since, Spark 2.0 is a major release of Apache Spark, Continue Reading

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