Python Certification Training
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Course Overview

It is a comprehensive Hadoop Big Data training course designed by industry experts considering current industry job requirements to help you learn Big Data Hadoop and Spark modules. This is an industry-recognized Big Data certification training course that is a combination of the training courses in Hadoop developer, Hadoop administrator, Hadoop testing and analytics with Apache Spark. This Cloudera Hadoop and Spark training will prepare you to clear Cloudera CCA175 Big Data certification.

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Python Certification Training
Python Certification Training Content

It is a comprehensive Hadoop Big Data training course designed by industry experts considering current industry job requirements to help you learn Big Data Hadoop and Spark modules. This is an industry-recognized Big Data certification training course that is a combination of the training courses in Hadoop developer, Hadoop administrator, Hadoop testing and analytics with Apache Spark. This Cloudera Hadoop and Spark training will prepare you to clear Cloudera CCA175 Big Data certification.

1.1 The architecture of Hadoop cluster 1.2 What is High Availability and Federation? 1.3 How to setup a production cluster? 1.4 Various shell commands in Hadoop 1.5 Understanding configuration files in Hadoop 1.6 Installing a single node cluster with Cloudera Manager 1.7 Understanding Spark, Scala, Sqoop, Pig, and Flume

3.1 Learning the working mechanism of MapReduce 3.2 Understanding the mapping and reducing stages in MR 3.3 Various terminologies in MR like Input Format, Output Format, Partitioners, Combiners, Shuffle, and Sort Hands-on Exercise: 1. How to write a WordCount program in MapReduce? 2. How to write a Custom Partitioner? 3. What is a MapReduce Combiner? 4. How to run a job in a local job runner 5. Deploying a unit test 6. What is a map side join and reduce side join? 7. What is a tool runner? 8. How to use counters, dataset joining with map side, and reduce side joins?

2.1 Introducing Big Data and Hadoop 2.2 What is Big Data and where does Hadoop fit in? 2.3 Two important Hadoop ecosystem components, namely, MapReduce and HDFS 2.4 In-depth Hadoop Distributed File System – Replications, Block Size, Secondary Name node, High Availability and in-depth YARN – resource manager and node manager Hands-on Exercise: 1. HDFS working mechanism 2. Data replication process 3. How to determine the size of the block? 4. Understanding a data node and name node

4.1 Introducing Hadoop Hive 4.2 Detailed architecture of Hive 4.3 Comparing Hive with Pig and RDBMS 4.4 Working with Hive Query Language 4.5 Creation of a database, table, group by and other clauses 4.6 Various types of Hive tables, HCatalog 4.7 Storing the Hive Results, Hive partitioning, and Buckets Hands-on Exercise: 1. Database creation in Hive 2. Dropping a database 3. Hive table creation 4. How to change the database? 5. Data loading 6. Dropping and altering table 7. Pulling data by writing Hive queries with filter conditions 8. Table partitioning in Hive

5.1 Indexing in Hive 5.2 The ap Side Join in Hive 5.3 Working with complex data types 5.4 The Hive user-defined functions 5.5 Introduction to Impala 5.6 Comparing Hive with Impala 5.7 The detailed architecture of Impala Hands-on Exercise: 1. How to work with Hive queries? 2. The process of joining the table and writing indexes 3. External table and sequence table deployment 4. Data storage in a different table
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    Python Certification Training Projects

    This training course is designed to help you clear the Cloudera Spark and Hadoop Developer Certification (CCA175) exams.

    Industry: General

    Problem Statement: How to successfully import data using Sqoop into HDFS for data analysis

    Topics: As part of this project, you will work on the various Hadoop components like MapReduce, Apache Hive and Apache Sqoop. You will have to work with Sqoop to import data from relational database management system like MySQL data into HDFS. You need to deploy Hive for summarizing data, querying and analysis. You have to convert SQL queries using HiveQL for deploying MapReduce on the transferred data. You will gain considerable proficiency in Hive and Sqoop after the completion of this project.

    Highlights:
    1.1 Sqoop data transfer from RDBMS to Hadoop
    1.2 Coding in Hive Query Language
    1.3 Data querying and analysis

    Industry: Media and Entertainment

    Problem Statement: How to create the top-ten-movies list using the MovieLens data

    Topics: In this project you will work exclusively on data collected through MovieLens available rating data sets. The project involves writing MapReduce program to analyze the MovieLens data and creating the list of top ten movies. You will also work with Apache Pig and Apache Hive for working with distributed datasets and analyzing it.

    Highlights:
    2.1 MapReduce program for working on the data file
    2.2 Apache Pig for analyzing data
    2.3 Apache Hive data warehousing and querying

    Industry: Banking

    Problem Statement: How to bring the daily data (incremental data) into the Hadoop Distributed File System

    Topics: In this project, we have transaction data which is daily recorded/stored in the RDBMS. Now this data is transferred everyday into HDFS for further Big Data Analytics. You will work on live Hadoop YARN cluster. YARN is part of the Hadoop ecosystem that lets Hadoop to decouple from MapReduce and deploy more competitive processing and wider array of applications. You will work on the YARN central resource manager.

    Highlights:
    3.1 Using Sqoop commands to bring the data into HDFS
    3.2 End-to-end flow of transaction data
    3.3 Working with the data from HDFS

    Industry: Banking

    Problem Statement: How to improve the query speed using Hive data partitioning

    Topics: This project involves working with Hive table data partitioning. Ensuring the right partitioning helps to read the data, deploy it on the HDFS and run the MapReduce jobs at a much faster rate. Hive lets you partition data in multiple ways. This will give you hands-on experience in partitioning of Hive tables manually, deploying single SQL execution in dynamic partitioning and bucketing of data so as to break it into manageable chunks.

    Highlights:
    4.1 Manual Partitioning
    4.2 Dynamic Partitioning
    4.3 Bucketing

    Industry: Social Network

    Problem Statement: How to deploy ETL for data analysis activities

    Topics: This project lets you connect Pentaho with the Hadoop ecosystem. Pentaho works well with HDFS, HBase, Oozie and ZooKeeper. You will connect the Hadoop cluster with Pentaho data integration, analytics, Pentaho server and report designer. This project will give you complete working knowledge on the Pentaho ETL tool.

    Highlights:
    5.1 Working knowledge of ETL and Business Intelligence
    5.2 Configuring Pentaho to work with Hadoop distribution
    5.3 Loading, transforming and extracting data into Hadoop cluster

    Big Data Hadoop Course Fee

    This training course is designed to help you clear the Cloudera Spark and Hadoop Developer Certification (CCA175) exams.

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    • 60 Hrs of instructor-led training
    • 1:1 doubt resolution sessions
    • Attend as many batches for Lifetime
    • Flexible Schedule

    Corporate Training
    • 36 hours of instructor-led online training
    • Flexibility to choose classes
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    All Our Programs Include

    This training course is designed to help you clear the Cloudera Spark and Hadoop Developer Certification (CCA175) exams.

    Real-world projects from industry experts

    With real world projects and immersive content built in partnership with top tier companies, you’ll master the tech skills companies want.

    Technical mentor support support

    With real world projects and immersive content built in partnership with top tier companies, you’ll master the tech skills companies want.

    Personal career coach and career services

    With real world projects and immersive content built in partnership with top tier companies, you’ll master the tech skills companies want.

    Flexible learning program

    With real world projects and immersive content built in partnership with top tier companies, you’ll master the tech skills companies want.

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    Python Certification Training Certification

    This training course is designed to help you clear the Cloudera Spark and Hadoop Developer Certification (CCA175) exams. The entire training course content is in line with these certification programs and helps you clear these certification exams with ease and get the best jobs in the top MNCs.

    This training course is designed to help you clear the Cloudera Spark and Hadoop Developer Certification (CCA175) exams. The entire training course content is in line with these certification programs and helps you clear these certification exams with ease and get the best jobs in the top MNCs. As part of this training, you will be working on real-time projects and assignments that have immense implications in the real-world industry scenarios, thus helping you fast-track your career effortlessly. At the end of this training program, there will be quizzes that perfectly reflect the type of questions asked in the respective certification exams and help you score better. Intellipaat Course Completion Certificate will be awarded upon the completion of the project work (after expert review) and upon scoring at least 60% marks in the quiz. Intellipaat certification is well recognized in top 80+ MNCs like Ericsson, Cisco, Cognizant, Sony, Mu Sigma, Saint-Gobain, Standard Chartered, TCS, Genpact, Hexaware, etc.

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    FAQ’s

    It is a known fact that the demand for Hadoop professionals far outstrips the supply. So, if you want to learn and make a career in Hadoop, then you need to enroll for Intellipaat Hadoop course which is the most recognized name in Hadoop training and certification. Intellipaat Hadoop training includes all major components of Big Data and Hadoop like Apache Spark, MapReduce, HBase, HDFS, Pig, Sqoop, Flume, Oozie and more. The entire Intellipaat Hadoop training has been created by industry professionals. You will get 24/7 lifetime support, high-quality course material and videos and free upgrade to latest version of course material. Thus, it is clearly a one-time investment for a lifetime of benefits.

    At Intellipaat, you can enroll in either the instructor-led online training or self-paced training. Apart from this, Intellipaat also offers corporate training for organizations to upskill their workforce. All trainers at Intellipaat have 12+ years of relevant industry experience, and they have been actively working as consultants in the same domain, which has made them subject matter experts. Go through the sample videos to check the quality of our trainers.

    Intellipaat is offering the 24/7 query resolution, and you can raise a ticket with the dedicated support team at anytime. You can avail of the email support for all your queries. If your query does not get resolved through email, we can also arrange one-on-one sessions with our trainers. You would be glad to know that you can contact Intellipaat support even after the completion of the training. We also do not put a limit on the number of tickets you can raise for query resolution and doubt clearance.

    Intellipaat offers self-paced training to those who want to learn at their own pace. This training also gives you the benefits of query resolution through email, live sessions with trainers, round-the-clock support, and access to the learning modules on LMS for a lifetime. Also, you get the latest version of the course material at no added cost. Intellipaat’s self-paced training is 75 percent lesser priced compared to the online instructor-led training. If you face any problems while learning, we can always arrange a virtual live class with the trainers as well.

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