Cloudera Developer Course Content

Introduction to Apache Hadoop and the Hadoop Ecosystem 

• Introduction to Apache Hadoop and the Hadoop Ecosystem
• Apache Hadoop Overview
• Data Ingestion and Storage
• Data Processing
• Data Analysis and Exploration
• Other Ecosystem Tools
• Introduction to the Hands-On Exercises

Apache Hadoop File Storage

• Apache Hadoop Cluster Components
• HDFS Architecture
• Using HDFS

Distributed Processing on an Apache Hadoop Cluster

• YARN Architecture
• Working With YARN

Apache Spark Basics

• What is Apache Spark?
• Starting the Spark Shell
• Using the Spark Shell
• Getting Started with Datasets and DataFrames
• DataFrame Operations

Working with DataFrames and Schemas

• Creating DataFrames from Data Sources
• Saving DataFrames to Data Sources
• DataFrame Schemas
• Eager and Lazy Execution

Analyzing Data with DataFrame Queries

• Querying DataFrames Using Column Expressions
• Grouping and Aggregation Queries
• Joining DataFrames

RDD Overview

• RDD Overview
• RDD Data Sources
• Creating and Saving RDDs
• RDD Operations

Transforming Data with RDDs

• Writing and Passing Transformation Functions
• Transformation Execution
• Converting Between RDDs and DataFrames

Aggregating Data with Pair RDDs

• Key-Value Pair RDDs
• Map-Reduce
• Other Pair RDD Operations

Querying Tables and Views with Apache Spark SQL

• Querying Tables in Spark Using SQL
• Querying Files and Views
• The Catalog API
• Comparing Spark SQL, Apache Impala, and Apache Hive-on-Spark

Working with Datasets in Scala

• Datasets and DataFrames
• Creating Datasets
• Loading and Saving Datasets
• Dataset Operations

Writing, Configuring, and Running Apache Spark Applications

• Writing a Spark Application
• Building and Running an Application
• Application Deployment Mode
• The Spark Application Web UI
• Configuring Application Properties

Distributed Processing

• Review: Apache Spark on a Cluster
• RDD Partitions
• Example: Partitioning in Queries
• Stages and Tasks
• Job Execution Planning
• Example: Catalyst Execution Plan
• Example: RDD Execution Plan

Distributed Data Persistence

• DataFrame and Dataset Persistence
• Persistence Storage Levels
• Viewing Persisted RDDs

Common Patterns in Apache Spark Data Processing

• Common Apache Spark Use Cases
• Iterative Algorithms in Apache Spark
• Machine Learning
• Example: k-means

Apache Spark Streaming: Introduction to DStreams

• Apache Spark Streaming Overview
• Example: Streaming Request Count
• DStreams
• Developing Streaming Applications

Apache Spark Streaming: Processing Multiple Batches

• Multi-Batch Operations
• Time Slicing
• State Operations
• Sliding Window Operations
• Preview: Structured Streaming

Apache Spark Streaming: Data Sources

• Streaming Data Source Overview
• Apache Flume and Apache Kafka Data Sources
• Example: Using a Kafka Direct Data Source

FAQ'S

What if I miss one (or) more class?

No need to worry about the classes you missed. We will definitely guide you by having optional classes or by having classes with other batches with the same topic you missed previous classes.

Who is my instructor?

IT professionals who have strong knowledge in technical know how to convey things with the real-time example. Even a layman could understand the concepts which given by our experts.

What are the modes of training offered for this course?

We offer this course in "Live Instructor-Led Online Training" mode. Through this way you won't mess anything in your real-life schedule. You will be shared with live meeting access while your session starts.

What are the system requirements to work?

Minimum 2GB RAM and i3 processor is required

Can I attend a demo session?

You can get a sample class recording to ensure you are in right place. We ensure you will be getting complete worth of your money by assigning a best instructor in that technology.

How about group discounts (or) corporate training for our team?

We are absolutely loved to talk in-person about group training (or) corporate training. So, please get in touch with our team through "Quick Enquiry", "Live Chat" or "Request Call-back" channels.

Where do Our Online learners and Trainer's come from

We are providing online training, One-to-One training with the help of experts. Our learners and trainers are frequently coming from different countries like USA, India, UK, Australia, New Zealand, Canada and UAE. To specify in cities London, Bangalore, California, New York, Pune, Mumbai, Chennai, New Delhi, San Francisco, New Jersey, Texas, Florida, Kolkata, Gurgaon, Berlin and Hyderabad among many.

I have more queries?

If you want to know More Details about Online Training Please Contact us. Or you can share your quires through info@monstercourses.com. Estimated turnaround time will be 24 hours for mails.

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