Working with Hadoop [Dec-22]

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Proton Expert Systems & Solutions

1:54:39

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1 - Introduction

1 - Introduction.mp4

03:49

2 - Lesson 1 Working with SQOOP

1 - Quiz on Sqoop Concepts.html

2 - Lesson 1 Working with SQOOP.mp4

04:31

3 - Practice 11 Import Incremental Data from RDBMS to HDFS and from RDBMS to Hive.mp4

04:48

3 - Practice-of-Lesson-1-1-1.pdf

4 - Labfiles-1-2.zip

4 - Practice 12 Export Incremental Data from HIVE to RDBMS and from HDFS to RDBMS.mp4

03:56

4 - Practice-of-Lesson-1-2.pdf

3 - Hive Concepts

2 - Quiz on Hive Concepts.html

5 - Lesson 2 Working with HIVE.mp4

08:16

6 - Labfiles-2-1.zip

6 - Practice 21 Working with HQL Scripts in HIVE.mp4

08:18

6 - Practice-of-Lesson-2-1.pdf

4 - Data Storage and Performance in HIVE

3 - Quiz on Data Storage and Performance in HIVE.html

7 - Lesson 3 Data Storage and Performance in HIVE.mp4

08:55

8 - Practice 31 Hive Partitioning.mp4

01:46

8 - Practice-of-Lesson-3-1.pdf

9 - Practice 32 Hive Bucketing.mp4

00:52

9 - Practice-of-Lesson-3-2.pdf

10 - Practice 33 Hive Indexing.mp4

00:57

10 - Practice-of-Lesson-3-3.pdf

11 - Practice 34 Creating Hive Tables for Different File Formats.mp4

02:36

11 - Practice-of-Lesson-3-4.pdf

5 - Working with Pig

4 - Quiz on Pig Concepts.html

12 - Lesson 4 Working with Pig Troubleshooting and Optimization.mp4

10:59

13 - Practice 41 Developing the Pig Latin Scripts in Pig.mp4

10:25

13 - Practice-of-Lesson-4-1.pdf

6 - Oozie Concepts

5 - Quiz on Oozie Concepts.html

14 - Lesson 5 Working with Oozie.mp4

07:47

15 - Labfiles-5-1.zip

15 - Practice 51 Scheduling the OOZIE Workflow using Coordinator.mp4

03:20

15 - Practice-of-Lesson-5-1.pdf

16 - Labfiles-5-2.zip

16 - Practice 52 Scheduling the OOZIE SubWorkflow using coordinator.mp4

02:35

16 - Practice-of-Lesson-5-2.pdf

7 - Flume Integration with HDFS

6 - Quiz on Flime Integration with HDFS.html

17 - Lesson 6 Integration of Flume with HDFS.mp4

05:34

18 - Labfiles-6-1.zip

18 - Practice 61 Flume Integration with HDFS.mp4

01:33

18 - Practice-of-Lesson-6-1.pdf

8 - Cloudera Administration

7 - Quiz on Cloudera Administration.html

19 - Lesson 7 Cloudera Administration.mp4

08:37

20 - Practice 71 Creating the Dashboard in Cloudera Manager.mp4

01:27

20 - Practice-of-Lesson-7-1.pdf

21 - Practice 72 Verifying the Logs and status of Job in Cloudera Manager.mp4

01:35

21 - Practice-of-Lesson-7-2.pdf

9 - Scala and Apache Spark

8 - Quiz on Scala and Apache Spark Concepts.html

22 - Lesson 8 Introduction to Scala and Apache Spark.mp4

08:46

23 - Labfiles-8-1.zip

23 - Practice 81 Read Data from HDFS to Spark 1x.mp4

01:24

23 - Practice-of-Lesson-8-1.pdf

24 - Labfiles-8-2.zip

24 - Practice 82 Read and Load data from Hive to spark 1x using spark SQL.mp4

01:53

24 - Practice-of-Lesson-8-2.pdf

Description

Learn the Advance Features of Hadoop Ecosystem with Hands-On

What You'll Learn?

Importing Incremental data from RDBMS to HDFS and from RDBMS to Hive
Hive Partitioning, Bucketing and Indexing
Exporting Incremental Data from hive to RDBMS and from HDFS to RDBMS
Creating Hive Tables for Different file formats
Developing the Pig Latin Scripts in Pig
Scheduling the OOZIE Workflow using Coordinator
Scheduling the OOZIE Sub-Workflow using coordinator
Flume Integration with HDFS
Reading Data from HDFS to Spark 1.x
Reading and Loading data from Hive to spark 1.x using spark SQL

Who is this for?

Data Base and Data Warehouse Developers

Big Data Developers and Architects

Data Scientists and Analysts

Any technical personnel who are interested learning and Exploring the features of Big Data and Tools

More details

Description
If you are looking for building the skills and mastering in Big Data concepts, Then this is the course for you.
The Apache Hadoop software library is a framework that allows for the distributed processing of large data sets across clusters of computers using simple programming models. It is designed to scale up from single servers to thousands of machines, each offering local computation and storage. Rather than rely on hardware to deliver high-availability, the library itself is designed to detect and handle failures at the application layer, so delivering a highly-available service on top of a cluster of computers, each of which may be prone to failures. In this course, you will learn about the Hadoop components, Incremental Import and export Using SQOOP, Explore on databases in Hive with different data transformations. Illustration of Hive partitioning, bucketing and indexing. You will get to know about Apache Pig with its features and functions, Pig UDFâ€™s, data sampling and debugging, working with Oozie workflow and sub-workflow, shell action, scheduling and monitoring coordinator, Flume with its features, building blocks of Flume, API access to Cloudera manager, Scala program with example, Spark Ecosystem and its Components, and Data units in spark.
What are you waiting for?
Hurry up!!!!!!
Who this course is for:
Data Base and Data Warehouse Developers
Big Data Developers and Architects
Data Scientists and Analysts
Any technical personnel who are interested learning and Exploring the features of Big Data and Tools

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Proton Expert Systems & Solutions

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Proton Expert Systems & Solutions is an ISO 9001:2015 Certified IT Consulting and Services firm, specializing in Cloud Computing, Enterprise Applications, Data Science, Machine Learning, Block Chain, IOT, Web/Mobile App Designing and IT Consulting Solutions.SPECIALIZED IN SERVICES & SOLUTIONCloud Computing – AWS, GCP, OCI, Docker, Kubernetes, Devops, Ansible, TerraformData Science – Big Data – Hadoop full Stack , Spark, Python, R Programming, Machine Learning, Data VisualizationBlock Chain – Hyperledger and IOTOracle CPQ Cloud, Oracle Sales CloudMobile App, Web App Design, SEO and SMM

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