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 Options
Self-Paced Learning
₹17,999.00 ₹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.
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.
Key Features
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
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.
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
Contact Us
Contact Us

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 |