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Tag: Spark
As we’re growing with the pace of technology, the demand to track data is increasing rapidly. Today, almost 2.5quintillion bytes of data are generated globally and it’s useless until that data is segregated in a proper structure. It has become crucial for businesses to maintain consistency in the business by collecting meaningful data from the … Continue reading 10 Most Popular Big Data Analytics Tools
In this article, I’ll focus on ranking short duration and certification courses. Which courses are included in these rankings ? I’ve considered the courses which are delivered in online or hybrid mode. Course running in hybrid mode are carried out only in India. For now, I’ve filtered out the courses being delivered in other countries. … Continue reading Top Certification Courses in SAS, R, Python, Machine Learning, Big Data, Spark
1. Objective We will learn the whole concept of creating DataFrames in SparkR. Data is organized as a distributed collection of data into named columns. Basically, that we call a SparkDataFrames in SparkR. Also, there are many ways to create DataFrames in SparkR. 2. What is SparkDataFrames? Data is organized as a distributed collection of … Continue reading Ways to Create SparkDataFrames in SparkR
1. Objective While Apache Hive and Spark SQL perform the same action, retrieving data, each does the task in a different way. However, Hive is planned as an interface or convenience for querying data stored in HDFS. Though, MySQL is planned for online operations requiring many reads and writes. So we will discuss Apache Hive … Continue reading Apache Hive vs Spark SQL: Feature wise comparison
Developed in AMPLab of University of California, Berkeley, Apache Spark was developed for higher speed, ease of use and more in-depth analysis. Though it was built to be installed on top of Hadoop cluster, however its ability to parallel processing allows it run independently as well. Let’s take a closer look at the features of … Continue reading Spark Features
Companies that need to work with large sets of data have a range of big data, open-source frameworks and solutions from which to choose. Each solution has a different set of advantages, disadvantages and ideal applications. If you're new to Big Data, you may have heard some of these terms. Below we provide a brief … Continue reading Comparing Hadoop, MapReduce, Spark, Flink, and Storm
A RDD known as Resilient Distributed Dataset in Spark is simply an immutable distributed huge collection of objects sets. Each RDD is split into multiple partitions (a smaller units), which may be computed on different aspects of nodes of the cluster. RDDs can contain any type of languages such as Python, Java, or Scala objects, … Continue reading Spark: Programming with RDDs
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