Big Data Training with Hadoop + Spark & Scala
Data is being generated in humungous quantities, it is demanded hugely for every business operation and so has to be processed at lightning speed. Traditional data processing systems are not capable of storing and processing such large data due to CPU, I/O, RAM limitations. This is the reason we need new age tools which can operate on multiple computers at cheap costs to work with this data. This is how Big Data Hadoop comes into the picture. Hadoop is a java based open source programming framework for processing, storing and handling very large datasets in distributed computer architecture. Apache Spark is the fastest and most efficient distributed computing tool working in contract with Hadoop which can access data from a variety of sources and handle its processing and analytics. Scala is a robust programming language largely used in big data companies for data analysis and processing in Spark. Our training course will give you in-depth knowledge right from basics to advance levels in Hadoop & Apache Spark, Scala. You will gain proficiency in all concepts like Hadoop, MapReduce, HDFS, Yarn, OOzie, Zookeeper, Apache Pig, Hive, Spark, Kafka and more. Our competent and industry relevant Big Data Hadoop Certification will prepare you to appear for the Cloudera CCA175 big data certification & CCAH certification.
Data is doubling every year and it is important to use this valuable data by identifying trends and patterns for business decision making. This is the reason companies need Big Data for smart data usage. According to the Economic times, around 2 lac big data professionals will be needed in the IT industry by 2021. Big data professionals also get handsome salary packages around 30% more than the others.
What will you gain out of this course?
Introduction to Scala and Spark Learning of Arithmetic and Numbers Overview of Collections Flow Control and For Loops What is The Resilient Distributed Dataset? Find the Most Popular Hostel How to use spark-submit to run Spark driver scripts? Overview of Spark DataFrames Linear Regression Classification Intro to Model Evaluation PCA Databricks Spark Streaming
BIG DATA TRAINING WITH HADOOP + SPARK & SCALA SYLLABUS
Concepts of Values and Variables
Study of Booleans and Comparison Operators
Understanding Strings and Basic Regex and Tuples
Lists, Arrays, Sets and Maps
Concepts of While Loops and Functions
Study of Ratings Histogram Walkthrough
Spark Internals and Key / Value RDD’s
Superhero Degrees of Separation: Introducing Breadth-First Search, Accumulators, and Implementing BFS in Spark and Review the code, and run it
Filtering in Spark, cache(), and persist()
Study of Packaging driver scripts with SBT
Introduction to Amazon Elastic MapReduce
How to create Similar Movies from One Million Ratings on EMR?
Partitioning in cluster
Running on a Cluster
Concepts of Troubleshooting, and Managing Dependencies
Learn Spark DataFrame Operations
Study of GroupBy and Aggregate Functions
Missing data and Date and Timestamps</li
Using DataSets instead of RDD's
What is regression Section?
Linear Regression Example
Spark Classification – Logistic Regression Example – Part 1 and 2
Spark Model Evaluation Example
Overview of Clustering with Spark
KMeans Theory Lecture
Example of KMeans with Spark
PCA with Spark example
Learn Spark Recommendation Systems
Spark Recommender System Implementation and ZeppelinNotebooks on AWS Elastic MapReduce
How to Set up a Twitter Developer
Account, and Stream Tweets?
Learn Structured Streaming
Introduction to Scala and Spark
Learning of Arithmetic and Numbers
Overview of Collections
Flow Control and For Loops
What is The Resilient Distributed Dataset?
Find the Most Popular Hostel
How to use spark-submit to run Spark driver scripts?
Overview of Spark DataFrames
Intro to Model Evaluation
Big Data Training with Hadoop- Spark & Scala Course Price: 22999* INR