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Master Big Data: Hadoop & Spark (CCA 175 With Practice Test)

Course

MASTER BIG DATA: HADOOP & SPARK (CCA 175 WITH PRACTICE TEST)

Category

Apache SparkProfessional Course

Eligibility

Working Professionals and Freshers

Mode

Both Classroom and Online Classes

Batches

Week Days and Week Ends

Duration :

60 Days

Apache Spark Objectives

•Learn everything about {Coursetopics} in Apache Spark .
•Explore different tools used for the Apache Spark .
•Become a professional Apache Spark Engineer by learning Apache Spark Different tips on how to handle the Apache Spark interviews.
•Learn Apache Spark programming best pracitices, SOLID, Design and more!
•Learn Apache Spark For Beginners. The Complete Course With Practical Examples
•Get straight to the point! Learn the basics of Apache Spark
•Learn the basics of Apache Spark and get up and running quickly
•Learn to build applications on the most flexible enterprise platform for Distributed applications.

Master Big Data: Hadoop & Spark (CCA 175 with Practice test) Training Features

•Get job-ready for an in-demand career
•Basic Training starting with fundamentals
•Job Placement Assistance with Good Companies
•Online Training with 100% placement assistance
•We hire Top Technical Trainers for Quality Sessions
•Collaboration With 500+ Clients for Placements and Knowledge Sessions
•Curriculum based on course outlines defined by in-demand skills in Python.
•Lifetime access to our 24×7 online support team who will resolve all your technical queries, through ticket based tracking system.

Who are eligible for Apache Spark

•Backend Developer, mongodb, Sql Server, vba, Node.js, cube, ssis, ssrs, ssas, Architectural Design, html, Advanced Excel, analytics, Advanced Analytics
•Deep Learning, C, C++, Algorithm, Data Structures, Machine Learning, Artificial Intelligence, Development, C++ Developer, C Programming, Programming, Gpu
•Java, Sales, Php, Oracle Dba, Ruby Rails, Salesforce, Big Data, Aws, Cloud Computing, Front End, Backend, Operations, It Administration
•networking, Test Cases, Automation Testing, perl, python, Protocol Testing, http, l4, l7, dns, tcp, ip, smtp, Cloud Computing, l3, l2, pig
•Solution Architect, Technical Lead, Software Developer, Testing Engineer, Project Manager, sap, sas, sql, magento, wordpress, laravel, mysql, Payment Gateways

MASTER BIG DATA: HADOOP & SPARK (CCA 175 WITH PRACTICE TEST)

In this course, you will start by learning what is hadoop distributed file system and most common hadoop commands required to work with Hadoop File system. Then you will be introduced to Sqoop Import Understand lifecycle of sqoop command. Use sqoop import command to migrate data from Mysql to HDFS. Use sqoop import command to migrate data from Mysql to Hive. Use various file formats, compressions, file delimeter,where clause and queries while importing the data. Understand split-by and boundary queries. Use incremental mode to migrate the data from Mysql to HDFS. Further, you will learn Sqoop Export to migrate data. What is sqoop export Using sqoop export, migrate data from HDFS to Mysql. Using sqoop export, migrate data from Hive to Mysql. Further, you will learn about Apache Hive Hive Intro External & Managed Tables Working with Different Files – Parquet,Avro Compressions Hive Analysis Hive String Functions Hive Date Functions Partitioning Bucketing Further, you will learn about Apache Spark Spark Intro Cluster Overview RDD DAG/Stages/Tasks Actions & Transformations Transformation & Action Examples Spark Data frames Spark Data frames – working with diff File Formats & Compression Dataframes API’s Spark SQL Dataframe Examples Further section will have CCA175 Practice Tests with explanations CCA175 practice test1 CCA175 practice test1 explanations CCA175 practice test2 CCA175 practice test2 explanations Finally, we will start with our last section Apache Flume Understand Flume Architecture. Using flume, Ingest data from Twitter and save to HDFS. Using flume, Ingest data from netcat and save to HDFS. Using flume, Ingest data from exec and show on console. Describe flume interceptors and see examples of using interceptors. Flume multiple agents Flume Consolidation.

Eligiblity for Certification :


Who want to learn Sqoop,Flume,Hive and Spark or who are preparing for CCA175 certification