Big Data Spark and Hadoop Developer

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Big Data analysis is emerging as a key advantage in business intelligence for many organizations. In this Big Data course, you will master MapReduce, Hive, Pig, Sqoop, Oozie and Flume, Spark framework and RDD, Scala and Spark SQL, Machine Learning using Spark, Spark Streaming, etc. 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 Cloudera Hadoop and Spark training will prepare you to clear Cloudera CCA175 Big Data certification....

Average salary for a Spark and Hadoop Developer ranges from approximately $106,366 to $127,619 per annum – Indeed.com

Hadoop Market is expected to reach $99.31B by 2022 growing at a CAGR of 42.1% from 2015 - Forbes

Amazon, Cloudera, Data Stax, DELL, EMC2, IBM, Microsoft & other MNCs worldwide use Hadoop

Curriculum

• Problems with Traditional Large-scale Systems
• Hadoop!
• The Hadoop EcoSystem

• Distributed Processing on a Cluster
• Storage: HDFS Architecture • Storage: Using HDFS
• Resource Management: YARN Architecture
• Resource Management: Working with YARN

• Sqoop Overview
• Basic Imports and Exports
• Limiting Results
• Improving Sqoop’s Performance
• Sqoop 2

• Introduction to Impala and Hive
• Why Use Impala and Hive?
• Comparing Hive to Traditional Databases
• Hive Use Cases

• Data Storage Overview
• Creating Databases and Tables
• Loading Data into Tables
• HCatalog
• Impala Metadata Caching

• Selecting a File Format
• Hadoop Tool Support for File Formats
• Avro Schemas
• Using Avro with Hive and Sqoop
• Avro Schema Evolution
• Compression

• Partitioning Overview
• Partitioning in Impala and Hive

• What is Apache Flume?
• Basic Flume Architecture
• Flume Sources
• Flume Sinks
• Flume Channels
• Flume Configuration

• What is Apache Spark?
• Using the Spark Shell
• RDDs (Resilient Distributed Datasets)
• Functional Programming in Spark

• A Closer Look at RDDs
• Key-Value Pair RDDs
• MapReduce
• Other Pair RDD Operations

• Spark Applications vs. Spark Shell
• Creating the SparkContext
• Building a Spark Application (Scala and Java)
• Running a Spark Application
• The Spark Application Web UI
• Configuring Spark Properties
• Logging

• Review: Spark on a Cluster
• RDD Partitions
• Partitioning of File-based RDDs
• HDFS and Data Locality
• Executing Parallel Operations
• Stages and Tasks

• RDD Lineage
• Caching Overview
• Distributed Persistence

• Common Spark Use Cases
• Iterative Algorithms in Spark
• Graph Processing and Analysis
• Machine Learning
• Example: k-means

• Spark SQL and the SQL Context
• Creating DataFrames
• Transforming and Querying DataFrames
• Saving DataFrames
• Comparing Spark SQL with Impala

Training Option

Self-Paced Learning

₹12,999.00

Learn at your convenient time and pace
Gain on-the-job kind of learning experience through high quality Videos built by industry experts.
Interactive Sessions as good as Classroom experience.
Learn end to end course content that is similar to instructor led virtual/classroom training.
Cost Effective as well as Convenient.

ENROLL NOW

Blended Learning

Everything in Self-Paced Plus
Learn in an instructor-led online training class

Corporate Training

Customized to your team’s needs

Customized learning delivery model (self-paced and/or instructor-led)
Flexible pricing options
Enterprise grade learning management system (LMS)
Enterprise dashboards for individuals and teams
24×7 learner assistance and support

Course Description

Big Data Spark and Hadoop Developer

This Spark and Hadoop Developer training enables you to work with the versatile frameworks of the Apache Hadoop ecosystem. 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 Cloudera Hadoop and Spark training will prepare you to clear Cloudera CCA175 Big Data Exam.

What you will Learn in this Course?

Introduction to Hadoop and the Hadoop Ecosystem
Hadoop Architecture and HDFS
Importing Relational Data with Apache Sqoop
Introduction to Impala and Hive
Modelling and Managing Data with Impala and Hive
Data Partitioning and Capturing Data with Apache Flume
Spark Basics, Working with RDDs in Spark
Writing and Deploying Spark Applications
Parallel Programming with Spark, Spark Caching and Persistence
Common Patterns in Spark Data Processing
Preview: Spark SQL
Preparing for the Cloudera CCA Spark and Hadoop Developer Exam (CCA175) exam

What are the pre-requisites for this Spark and Hadoop Developer Certification Course?

There are no pre-requisites as such for Spark and Hadoop Developer Training, but basic knowledge of Linux command line interface will be considered beneficial.

Self-Paced Online Video

• Self-paced Videos: 30 Hrs
• Exercises & Project Work: 60 Hrs
• A 360-degree learning approach that you can adapt to your learning style

1 Year Unlimited Access

You get 1 Year unlimited access to LMS where presentations, quizzes, installation guide & class recordings are there.

24 x 7 Expert Support

We have 24x7 online support team to resolve all your technical queries, through ticket-based tracking system

Certification

Successfully complete your course and Tecklearn will certify you as a Spark and Hadoop Developer.

Real-life Case Studies

Live project based on any of the selected use cases, involving implementation of the various Spark and Hadoop Developer concepts.

Learn at your Convenience

• Certification and Job Assistance
• Flexible Schedule

Reviews

Big Data Spark and Hadoop Developer

Manjunath S N

Great explanation of concepts through live examples helped me to clarify the concepts and unserstand the connect between various topics of B... Read More

Big Data Spark and Hadoop Developer

Jalinder Kutade

The classes are very informative. Many simple and real world examples make the technical topics easy to understand. Now, I will never forget... Read More

Big Data Spark and Hadoop Developer

Apoorva Vaidya

Had a wonderful experience with Tecklearn while doing my Big Data Expert online course. Both the content and the support team were wondeful.... Read More

Big Data Spark and Hadoop Developer

Sanjay Agarwal

Learning has never been so easy. It is as good as a Live Class room training and comes with added advantages. You can learn at the comfort o... Read More

Big Data Spark and Hadoop Developer

Aditi Malviya

Certification

This Spark and Hadoop Developer course is designed for clearing the Cloudera CCA Spark and Hadoop Developer Exam (CCA175). The entire Spark and Hadoop Developer course content is in line with this certification program and helps you clear it with ease and get the best jobs in the top MNCs. As part of this Spark and Hadoop Developer 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.

Tecklearn’s Spark and Hadoop Developer Certification will be awarded upon the completion of the course and the project work.

Projects

To put your knowledge on into action, you will be required to work on 2-3 industry-based projects that discuss significant real-time use cases.
These projects are completely in-line with the modules mentioned in the curriculum and help you to clear the certification exam.

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FAQ Content

You will never miss a lecture at Tecklearn. Tecklearn provides recordings of each class so you can review them as needed before the next session.

Your access to the Support Team is for lifetime and will be available 24/7. The team will help you in resolving queries, during and after the course.

Post-enrolment, the LMS access will be instantly provided to you and will be available for lifetime. You will be able to access the complete set of previous class recordings, PPTs, PDFs, assignments. Moreover, the access to our 24x7 support team will be granted instantly as well. You can start learning right away.

Yes, the access to the course material will be available for lifetime once you have enrolled into the course.

All the instructors at Tecklearn are practitioners from the Industry with minimum 10-15 yrs of relevant IT experience. Each of them has gone through a rigorous selection process that includes profile screening, technical evaluation, and a training demo before they are certified to train for us. We also ensure that only those trainers with a high alumni rating remain on our faculty.

In today’s data driven world, organizations are relying on the data. They are analysing & deriving meaningful insights from voluminous amount of data i.e. Big Data. As Big Data Market is projected to grow from $42B in 2018 to $103B in 2027, companies will look for professionals who can design, implement, test & maintain the complete Big Data infrastructure. Hadoop being the de-facto for storing & processing Big Data it is the first step towards Big Data glorious Journey. So, if you are planning to make a career in Big Data domain, now is the right time to start with Spark and Hadoop Developer Certification Training.

Organisations have realized the importance of Big Data, & the market of Hadoop is growing exponentially. Technology Giants & MNCs such as Amazon.com Services, Expedia, JP Morgan Chase, Splunk, Visa, SAP, Oracle, Apple are hunting for professionals who can design, test & manage Hadoop clusters. Now is the right time to get a certification in Spark and Hadoop Developer and stand a chance to grab your dream job.

Organisations are seizing Big Data projects to gain a competitive edge. Enterprises that do not embrace Big Data will lose their competitive edge in a decade. As Big Data sources are growing, the opportunities for professionals are also increasing. Organisations are looking for professionals who can build, manage & perform administrative tasks on Big Data clusters. If you are planning to pursue a career in Big Data domain, now is the right time to get certified in Spark and Hadoop Development.

With online certification training you get the flexibility to learn on your own terms.
Major advantages are:
Access to Latest Course Curriculum
Connect with Instructors around the world
Real-life Projects & Case Studies
Lifetime Access & 24x7 support

57 STUDENTS ENROLLED

Course Curriculum

Modules
	Hadoop Developer Hadoop Intro -1	00:00:00
	Hadoop Developer Hadoop Intro -2	00:00:00
	Hadoop Developer Hadoop Intro -3	00:00:00
	Hadoop Developer MapReduce	00:00:00
	Hadoop Developer Sqoop	00:00:00
	Hadoop Developer Hive and Impala -1	00:00:00
	Hadoop Developer Hive and Impala -2	00:00:00
	Hadoop Developer Flume	00:00:00
	Hadoop Developer HBase	00:00:00
	Hadoop Developer Module -5	00:00:00
	Hadoop Developer Module -6	00:00:00
	Hadoop Developer Module -7	00:00:00
	Hadoop Developer Module -8	00:00:00
	Hadoop Developer Module -9	00:00:00
	Hadoop Developer Module -10	00:00:00
	Hadoop Developer Module -11	00:00:00
	Hadoop Developer Module -12	00:00:00
	Hadoop Developer Quiz	01:00:00

5/5

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Big Data Spark and Hadoop Developer

Why Should you take Spark and Hadoop Developer?

Curriculum

Introduction to Hadoop and the Hadoop Ecosystem

Hadoop Architecture and HDFS

Importing Relational Data with Apache Sqoop

Introduction to Impala and Hive

Modelling and Managing Data with Impala and Hive

Data Formats

Data Partitioning

Capturing Data with Apache Flume

Spark Basics

Working with RDDs in Spark

Writing and Deploying Spark Applications

Parallel Programming with Spark

Spark Caching and Persistence

Common Patterns in Spark Data Processing

Preview: Spark SQL

Training Option

Self-Paced Learning

₹17,999.00 ₹12,999.00

Blended Learning

Corporate Training

Course Description

Big Data Spark and Hadoop Developer

Key Features

Self-Paced Online Video

1 Year Unlimited Access

24 x 7 Expert Support

Certification

Real-life Case Studies

Learn at your Convenience

Reviews

Big Data Spark and Hadoop Developer

Manjunath S N

Big Data Spark and Hadoop Developer

Jalinder Kutade

Big Data Spark and Hadoop Developer

Apoorva Vaidya

Big Data Spark and Hadoop Developer

Sanjay Agarwal

Big Data Spark and Hadoop Developer

Aditi Malviya

Certification

FAQ Content

What if I miss a class?

What if I have queries after I complete this course?

How soon after Signing up would I get access to the Learning Content?

Is the course material accessible to the students even after the course training is over?

Who are our instructors and how they are selected?

Why learn Spark and Hadoop Developer?

What are the career opportunities as Spark and Hadoop Developer?

What is the future scope of Spark and Hadoop Developer?

Why take online Spark and Hadoop Developer Certification course? How is it better than offline course?

Course Curriculum

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