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Category: Spark
In today's digital age, data is a crucial asset for businesses to make informed decisions. However, analyzing huge volumes of data can be a daunting task without the right tools. This is where big data analytics tools come into play. They help businesses process, store, and analyze large datasets to gain insights that can be … Continue reading 10 Most Popular Big Data Analytics Tool
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
A DataFrame is a distributed collection of data, which is organized into named columns. Conceptually, it is equivalent to relational tables with good optimization techniques. A DataFrame can be constructed from an array of different sources such as Hive tables, Structured Data files, external databases, or existing RDDs. This API was designed for modern Big … Continue reading Spark SQL – DataFrames
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
The Apache Hadoop Module: Hadoop Common: this includes the common utilities that support the other Hadoop modules HDFS: the Hadoop Distributed File System provides unrestricted, high-speed access to the application data. Hadoop YARN: this technology accomplishes scheduling of job and efficient management of the cluster resource. MapReduce: highly efficient methodology for parallel processing of huge … Continue reading The Hadoop Module & High-level Architecture
1. Objective There are many features Like Unified Data Access, High Compatibility and many more. We will focus on each feature in detail. But, before learning features of Spark SQL, we will also study brief introduction to Spark SQL. 2. Introduction to Spark SQL In Apache Spark, Spark SQL is a module for working with … Continue reading Spark SQL Features
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