Self-Biearn Yourself Scala in 21 Blogs – #1 Blog 1 – Scala the basics Thanks to the communities like LinkedIn, hadoop, Spark, Apache Software, Yahoo and more…from dataottam. As a new learning and sharing initiative we the dataottam team launched “Self-Learn Yourself Scala in 21 Blogs”. Scala is something Object-Oriented meets functional to have best […]
What is RDD, Actions, and Transformations ? In Blog 6, we will see The RDD, and RDDs Input with Hands-on. Click to have quick read on the other blogs in this learning series. Hey, my dear friends. Before getting in to more deep dive into let’s have a look at who are the Spark Core Maintainers […]
How to have our basic statistics (Mean, Median, SD, Var, Cor, Cov) computed using R language? The dataottam team has come up with blog sharing initiative called “Celebrate the Big Data Problems”. In this series of blogs we will share our big data problems using CPS (Context, Problem, Solutions) Framework. Context: In statistics Mean, Median, […]
In this new year 2016, we should be excited that Apache Spark community have released and announced the availability of Apache Spark 1.6, which is the 7th release on the 1.x line. Committers – Contributors to Spark had crossed 1000, which is doubled. Patches – Apache Spark 1.6 version includes & covers 1000 patches. Run […]
Best wishes to you this holiday, and Happy New Year, from all of us at dataottam. This blog introduces Spark’s core abstraction for working with data, the RDD (Resilient Distributed Dataset). An RDD is simply a distributed collection of elements or objects (Java, Scala, Python, and user defined functions) across the Spark cluster. In Spark […]
As of this writing, Drill is a very active Apache incubating project led by MapR with six to seven companies actively participating, and more than 250+ people currently on the Drill mailing list. The goal of Drill is to create an interactive analysis platform for Big Data using a standard SQL-supporting relational database management system […]
Tons of thanks for your valuable time, this time we like to share with you the details on how data movement is happening in the big data ecosystem. It’s named as “The Data Movement in Big Data Ecosystem”. Ingesting data in to Hadoop is so vital from systems like RDBMS, Mainframes, logs, machine-generated data, event data […]
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