There is an increasing demand for Scala and Spark developers now days and big data companies value developers who are master in data analysis and processing in Apache Spark the fastest framework. We are a focused enterprise that strongly believes in empowering minds with multi skills and enlightening them for current and future need. It making us best spark and scala training institute in Pimpri Chinchwad.
Yes, You can enroll for any single course. Prior you have to send us an email or enquiry for the same.
Yes. You can enroll but you will have to work hard for learning from the scratch.
Yes. 70% amount can be refunded in case of enrollment cancellation is done in between 1-15 days from starting of course.
You must have basic knowledge of any programing language and dbms/sql.
Yes, we always recommend that course has to be taken from topics/subjects order to undestand better.
Apache Spark is an open source distributed processing framework and technology that manages huge data processing and storage for applications running in faster and optimized way.
Hadoop Overview Need of Hadoop technology Overview of Data centers and Cluster Hadoop Cluster and Racks in detail Learning Ubuntu for Hadoop Overview of Hadoop tools Overview of Map Reduce Big data Concepts Distributed network and computation Challenges in data management and control Introduction to Big Data Types of data in detail Sources of Big Data Concept of Streaming data HDFS and Basic hadoop commands Scala Scala Overview Environment Setup Basic Syntax Data Types Variables Classes & Objects Access Modifiers Operators IF ELSE Loop Statements Functions Closures Strings Arrays Collections Traits Pattern Matching Regular Expressions Exception Handling Extractors Files I/O Apache Spark Download and Install Apache Spark 2 x Introduction to Spark Shell Spark RDDs Part 1 Spark RDDs Part 2 RDD Transformations Introduction to IDEs Creating Spark Project with Eclipse Maven Creating Spark Context and RDD in Spark 1 x style Creating Spark Context and RDD in Spark 2 x style RDD Basics Working with CSV Files RDD Basics Saving RDD to a Text File Introduction to Spark DataFrame Creating DataFrame using Spark 1 x Style Creating DataFrame using Spark 2 x Style Creating DataFrame with CSV file in Spark 1 x Style Creating DataFrame with CSV file in Spark 2 x Style Creating Multiple Spark Context in Spark 1.x Creating Multiple Spark Sessions Spark 2 x Working with Different File Formats - ORC, JSON, Parquet Working with Avro Files Applying Own Schema to the DataFrame Basic Operations on DataFrame Temporary Tables Spark 1 x Style Temporary Tables Spark 2 x Style Introduction to Datasets Creating a Dataset Basic Dataset Operations Dataset vs DataFrame Performance Setting Up Spark 2 on Cloudera Quick Start VM Running Spark Job in Yarn/cluster Mode From IDE - Approach 2 Connecting To MySQL From Spark Job Transformations On MySQL Table - DataFrame API Query Push Down to MySQL Database Writing Spark DataFrame to MySQL Table Creating Partitioned Table with Spark Creating External Table with Spark Spark insertInto Method Spark 2 Catalog API - How to create a Hive Table What are Spark built-in functions and how to use them? What are UDFs in Apache Spark and How to Create and use an UDF - Approach 1 Creating UDF and use with Spark SQL Introduction to Catalog API Kafka Introduction Fundamentals Cluster Architecture Work Flow Installation Steps Basic Operations Producer Example Consumer Group Example Integration With Spark Real Time Application(Twitter) Tools and Applications Domain Based Project With Real Time Data 60 Assignments