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Big data and Hadoop framework


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Default Big data and Hadoop framework - 09-03-2019, 03:58 PM

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Big data and Hadoop framework
MP4 | Video: AVC 1280x720 | Audio: AAC 44KHz 2ch | Duration: 1 Hours | Lec: 17 | 931 MB
Genre: eLearning | Language: English

Data analytics, Apache spark, hive, pig, Data Science, MapReduce, Machine learning, Aws EMR, Azure Machine learning
This course is focusing on Big data and Hadoop technologies, hands on demos,
Section 1 - Big data
1.1 Big data introduction
1.2 Big data history
1.3 Big data technologies
1.4 Big data characteristics
1.5 Big data Applications
1.6 Data Lake
1.7 Data Science and Data scientist
Section 2 - Hadoop
2.1 - Hadoop introduction
2.2 - HDFS-Overview
2.3 - Hadoop Architecture
2.3a - Hadoop Architecture - assumptions and goals
2.4 - Demo-Hadoop install - sw download verify integrity
2.5 - Demo-Hadoop install - Java ssh configure
2.6 - Demo hadoop access by browser
Section 3 - Machine Learning
3.1 Machine learning introduction
3.2 Machine learning algorithms
3.3 Machine learning softwares
Module 4 - AWS Machine Learning
4.1 AWS and Machine learning introduction
Below will be added soon.
4.2 Bigdata and aws
4.3 Hadoop on Amazon Elastic Map Reduce (emr)
4.4 What is EMR
4.5 EMR Architecutre
4.6 Demo - launch EMR cluster
2.6 - Hadoop single node cluster setup
2.7 - Hadoop single node - Pseudo-Distributed Operation
2.8 - Hadoop multi node cluster setup
2.9 - MapReduce
2.10 - Azure HDInsight
2.11 - HDFS-Operations
2.12 - Apache Spark and Big data analytics
2.15 - Hadoop, Hive and Pig

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