This OnDemand offering provides you with a 180-day subscription that begins on the date of purchase.
Through instructor-led discussion and interactive, hands-on exercises, participants will learn Apache Spark and how it integrates with the entire Hadoop ecosystem, learning:
How data is distributed, stored, and processed in a Hadoop cluster
How to use Sqoop and Flume to ingest data
How to process distributed data with Apache Spark
How to model structured data as tables in Impala and Hive
How to choose the best data storage format for different data usage patterns
Best practices for data storage
This course is designed for developers and engineers who have programming experience. Apache Spark examples and hands-on exercises are presented in Scala and Python, so the ability to program in one of those languages is required. Basic familiarity with the Linux command line is assumed. Basic knowledge of SQL is helpful. Prior knowledge of Hadoop is not required.
This four-day hands-on training course delivers the key concepts and expertise participants need to ingest and process data on a Hadoop cluster using the most up-to-date tools and techniques. Employing Hadoop ecosystem projects such as Spark, Hive, Flume, Sqoop, and Impala, this training course is the best preparation for the real-world challenges faced by Hadoop developers. Participants learn to identify which tool is the right one to use in a given situation, and will gain hands-on experience in developing using those tools
CCA Spark & Hadoop Developer
This course is an excellent place to start for people working towards the CCA Spark & Hadoop Developer certification. Although further study is required before passing the exam, this course covers many of the subjects tested in the CCA Spark & Hadoop Developer exam. After successfully completing this course, we recommend that participants attend Cloudera’s Designing and Building Big Data Applications course, which builds on the foundations taught here.
Introduction to Hadoop and the Hadoop Ecosystem
Problems with Traditional Large-Scale Systems
Data Storage and Ingest
Data Analysis and Exploration
Other Ecosystem Tools
Introduction to the Hands-On Exercises
Hadoop Architecture and HDFS
Distributed Processing on a Cluster
Storage: HDFS Architecture
Storage: Using HDFS
Resource Management: YARN Architecture
Resource Management: Working with YARN
Importing Relational Data with Apache Sqoop
Basic Imports and Exports
Improving Sqoop’s Performance
Introduction to Impala and Hive
Introduction to Impala and Hive
Why Use Impala and Hive?
Querying Data With Impala and Hive
Comparing Hive and Impala to Traditional Databases
https://www.exitcertified.com/it-training/cloudera/developer/cloudera-developer-training-spark-hadoop-48035-detail.htmlSPARK-HADOOP-ODCloudera Developer Traininghttps://assets.exitcertified.com/assets/CourseImages/afe74f111e/AdobeStock_268306722__FitMaxWzEwMDAsMTAwMF0.jpg2235.00USDInStock/Training/Cloudera/DeveloperThis OnDemand offering provides you with a 180-day subscription that begins on the date of purchase. Skills Gained Through...2235.00ClouderaSelf Paced2016-08-11T12:53:13+00:00USD