- Chance to apply the acquired skills on a distributed cluster to solve real-world challenges
- Issuance of a globally recognized certification upon the course completion
- 24x7 support and forum access
- Hands-on live project training
- Resume preparation and job placement assistance
About Hadoop and Spark course
This is a specially designed course that will equip the candidates with all knowledge regarding the Apache Hadoop ecosystem and demonstrate how it fits with the data processing lifecycle. They will also learn how the data is processed and stored in a Hadoop cluster along with meaningful ways of writing, configuring and deploying Apache Spark applications in it. Moving on, the candidates will learn how to use Spark shell and applications to process and analyze the distributed data. How to query data with the help of Spark SQL and ways to use Spark Streaming to conduct live data stream will also be part of the curriculum.
Who should join?
Having prior knowledge of Spark or Hadoop is no criteria for undertaking this training program. However, all those interested must meet the following requirements:
- Basic familiarity with Linux command line
- Ability to program in either of the two languages: Scala or Python as Apache Spark practical exercises are present in these.
- Prior experience with programming
- Basic knowledge of SQL
This course is best suited to Analytics Professionals, Software Developers and Architects, Senior IT Professionals, Project Managers, Data Management Professionals, Testing and Mainframe Professionals, Aspiring Data Scientists and Business Intelligence Professionals.
Hadoop Spark Training Syllabus In Unnao
The Hadoop Spark training program entails complete knowledge on the below topics:
- Introduction to Apache Hadoop and Hadoop Ecosystem
- Apache Hadoop file storage
- Distributed processing on an Apache Hadoop Cluster
- Apache Spark Basics
- Working with DataFrames and Schemas
- Analyzing data with DataFrame queries
- RDD overview
- Transforming data with RDDs
- Aggregating data with pair RDDs
- Querying Tables and Views with SQL
- Working with datasets in Scala
- Writing, configuring and running Spark applications
- Spark distributed processing
- Distributed data persistence
- Common patterns in the Spark data processing
- Introduction to Structured Streaming
- Structured Streaming with Apache Kafka
- Aggregating and joining Streaming DataFrames
- Message processing with Apache Kafka
What are the learning benefits?
Upon the completion of the Hadoop Spark course, all the participants will be able to face real-world issues and execute smart applications that facilitate faster and better decision making and interactive analysis, which is applied to several use cases, architectures and industries.
Hadoop & Spark Course duration
The Hadoop Spark course duration in Unnao precisely depends upon the type of training program you select. Mostly all the courses are short-term courses and can be completed within 2 to 3 months from the date of enrolment. You can opt for a weekday or weekend course whatever suits you best. Most institutes listed above offer flexible batch timings to meet the needs of working professionals as well.
Course fees of Hadoop Course Training
On average, the cost of the Hadoop Spark course varies between INR 17,000 to INR 85,000. Many institutes also allow the candidates to make the payment in installments. You can talk to your chosen service provider before enrolling.
Hadoop Spark Job Opportunities
Some of the most prominent Hadoop Spark job roles, along with their salaries, are as follows:
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