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Pearson – Data Engineering Foundations Livelessons Part 1 Using Spark Hive and Hadoop Scalable Tools

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Pearson – Data Engineering Foundations LiveLessons Part 1: Using Spark, Hive, and Hadoop Scalable Tools-iLLiTERATE
English | Size: 6.46 GB
Category: Tutorial

6+ Hours of Video Instruction
One Line Sell
The perfect way to get started with scalable data engineering tools. [Read more…]

Apress – Microsoft Polybase Hadoop and Blob Storage Processing Big Data and Cloud Objects

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Apress – Microsoft Polybase Hadoop and Blob Storage Processing Big Data and Cloud Objects-iLLiTERATE
English | Size: 397.61 MB
Category: Tutorial

This video dives into Microsoft SQL Server’s PolyBase feature for virtualizing data from Apache Hadoop and Azure Blob Storage into SQL Server. From this video you will learn how to configure SQL Server and PolyBase to connect to Azure Blob Storage, including how to make connections to public and secured blob containers. You’ll also learn how to make connections to Hadoop clusters and query data that is stored in Hadoop. [Read more…]

Linux Academy – Hadoop Quick Start-BiFiSO

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Linux Academy – Hadoop Quick Start-BiFiSO
English | Size: 277.61 MB
Category: Tutorial


Hadoop has become a staple technology in the big data industry by enabling the storage and analysis of datasets so big that it would be otherwise impossible with traditional data systems. In this course, you’ll jump right into deploying Hadoop, configuring HDFS, and executing MapReduce jobs. [Read more…]

Linkedin Learning – Cloud Hadoop Scaling Apache Spark-XQZT

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Linkedin Learning – Cloud Hadoop Scaling Apache Spark-XQZT
English | Size: 477.07 MB
Category: Tutorial


Apache Hadoop and Spark make it possible to generate genuine business insights from big data. The Amazon cloud is natural home for this powerful toolset, providing a variety of services for running large-scale data-processing workflows. Learn to implement your own Apache Hadoop and Spark workflows on AWS in this course with big data architect Lynn Langit. Explore deployment options for production-scaled jobs using virtual machines with EC2, managed Spark clusters with EMR, or containers with EKS. Learn how to configure and manage Hadoop clusters and Spark jobs with Databricks, and use Python or the programming language of your choice to import data and execute jobs. Plus, learn how to use Spark libraries for machine learning, genomics, and streaming. Each lesson helps you understand which deployment option is best for your workload. [Read more…]

Udemy – CCA 175 – Spark and Hadoop Developer Certification – Scala

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Udemy – CCA 175 – Spark and Hadoop Developer Certification – Scala
English | Size: 5.46 GB
Category: Tutorial


CCA 175 – Spark and Hadoop Developer Certification – Scala
Cloudera Certified Associate Spark and Hadoop Developer using Scala as Programming Language

CCA 175 Spark and Hadoop Developer is one of the well recognized Big Data certification. This scenario based certification exam demands basic programming using Python or Scala along with Spark and other Big Data technologies.
This comprehensive course covers all aspects of the certification using Scala as programming language. [Read more…]

Udemy – CCA 131 – Cloudera Certified Hadoop and Spark Administrator

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Udemy – CCA 131 – Cloudera Certified Hadoop and Spark Administrator
English | Size: 12.45 GB
Category: CBTs


CCA 131 is certification exam conducted by the leading Big Data Vendor, Cloudera. This online proctored exam is scenario based which means it is very hands on. You will be provided with multi-node cluster and need to take care of given tasks.
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CBT Nuggets – Apache Hadoop

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CBT Nuggets – Apache Hadoop
English | Size: 2.02 GB
Category: Tutorial


This Apache Hadoop video training with Garth Schulte covers how to install, configure, and manage Hadoop clusters, as well as working with projects in Hadoop such as Pig and HBase.

This course will get you up to speed on Big Data and Hadoop. Topics include how to install, configure and manage a single and multi-node Hadoop cluster, configure and manage HDFS, write MapReduce jobs and work with many of the projects around Hadoop such as Pig, Hive, HBase, Sqoop, and Zookeeper. Topics also include configuring Hadoop in the cloud and troubleshooting a multi-node Hadoop cluster.
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