Apache Spark and Scala Developer
- Offered byEdureka
Apache Spark and Scala Developer at Edureka Overview
Duration | 60 days |
Total fee | ₹18,695 |
Mode of learning | Online |
Credential | Certificate |
Apache Spark and Scala Developer at Edureka Highlights
- Lifetime Access
- Earn a certificate after completing this course
Apache Spark and Scala Developer at Edureka Course details
- Developers and Architects
- BI /ETL/DW Professionals
- Senior IT Professionals
- Testing Professionals
- Mainframe Professionals
- Freshers
- Big Data Enthusiasts
- Software Architects, Engineers, and Developers
- Data Scientists and Analytics Professionals
- The Apache Spark Certification Training Course is designed to provide you with the knowledge and skills to become a successful Big Data & Spark Developer This training will help you clear the CCA Spark and Hadoop Developer (CCA175) Examination
- You will understand the basics of Big Data and Hadoop, along with how Spark enables in-memory data processing and runs much faster than Hadoop MapReduce
- This course also covers RDDs, Spark SQL for structured processing, and different APIs offered by Spark, such as Spark Streaming and Spark MLlib
Apache Spark and Scala Developer at Edureka Curriculum
What is Big Data
Big Data Customer Scenarios
Limitations and Solutions of Existing Data Analytics Architecture with Uber Use Case
How Hadoop Solves the Big Data Problem
What is Hadoop
Hadoop?s Key Characteristics
Hadoop Ecosystem and HDFS
Hadoop Core Components
Rack Awareness and Block Replication
YARN and its Advantage
Hadoop Cluster and its Architecture
Hadoop: Different Cluster Modes
Hadoop Terminal Commands
What is Big Data
Big Data Customer Scenarios
Limitations and Solutions of Existing Data Analytics Architecture with Uber Use Case
How Hadoop Solves the Big Data Problem?
What is Hadoop
Hadoop?s Key Characteristics
Hadoop Ecosystem and HDFS
Hadoop Core Components
Rack Awareness and Block Replication
YARN and its Advantage
Hadoop Cluster and its Architecture
Hadoop: Different Cluster Modes
Hadoop Terminal Commands