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Spark using AWS
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Description

Every year we have a big increment of data that we need to store and analyze. AWS is a web service used to process and store a vast amount of data, and it is one of the largest Hadoop operators in the world. We will teach you how to create Spark clusters on the Amazon Web Services (AWS) platform. With the increase in the amount of data generated and collected by many businesses and the arrival of cost-effective cloud-based solutions for distributed cloud computing, the feasibility to crunch large amounts of data to get deep insights within a short span of time has increased greatly.

This course will get you started with AWS so that you can quickly create your own account and explore the services provided, many of which you might be delighted to use. You'll learn to perform cluster-based data modeling using Gaussian generalized linear models, binomial generalized linear models, Naive Bayes, and K-means modeling; access data from S3 Spark DataFrames and other formats like CSV, JSON, and HDFS; and do cluster-based data manipulation operations with tools like SparkR and SparkSQL.By the end of this course, you will have a thorough understanding of Spark and AWS, and you will be able to perform full-stack data analytics with a feeling that no amount of data is too big.

This is an instructor-led course. In the 90-hour deep-dive into Spark using AWS, students will get Online-Live training where they will get both the theoretical and practical knowledge needed to build the necessary skills. The institute’s holistic approach is stemmed to meet the long-term needs of the student and hence they provide 100% job/placement assistance with the option of seeking a trial class before the enrolment. 

 

What Will I Learn?

  • Create Hadoop & Scala environment in Intellij and Run sample scala program in Intellij
  • Pyspark script in glue, Scala spark script in glue and Hive script in Athena

Specifications

  • Free Demo
  • Learn from Experts
  • Interactive Learning
  • Missed Class Recovery
  • Instalment Facility

Bigdata

  • What is Bigdata
  • Why Bigdata came into picture
  • What is Hadoop
  • Why spark came into picture?
  • Limitations in Hadoop and RDBMS

 

Hadoop, & Spark installation in Ubuntu Hands on

  • Create Hadoop & Scala environment in Intellij
  • Run sample scala program inIntellij

 

Scala Basics

  • Variables, Strings & Numbers
  • Arrays, List, tuple, type hierarchy 
  • Scala: Expressions and Conditionals
  • For loop & match if else 
  • Functions & Objects, class methods 
  • HDFS: Responsibilities of Namenode, Datanode
  • How HDFS replicated data? 
  • Read/Write data from HDFS/local
  • Namenode, Application manager internals
  • Power of YARN
  • How Resource Master functioning
  • Node manager responsibilities
  • How Application master work?
  • How Yarn communicate HDFS
  • Spark on Yarn
  • How Spark run on Yarn
  • What is Mesos?
  • Power of containers & Executors
  • In-memory concept

 

AWS Intro

  • EC2 creation,
  • Hortonworks installation in ec2
  • Cloudera installation in ec2
  • image, windows, linux servers
  • Autoscala ec2

 

AWS RDS

  • Create and insert data in Oracle, mysql, mssql,
  • postgre sql databases.
  • Sqoop import export examples

 

AWS IAM

  • Users
  • Groups
  • Roals,
  • Policies
  • S3 Cli commands
  • S3 Bucket privileges
  • Emr
  • Create multi node cluster

 

Redshift & datapipe line

  • create and process large amount of data
  • Get data from oracle to redshift
  • Get data from s3 to redshift

 

AWS Glue and Athena

  • Pyspark script in glue
  • Scala spark script in glue
  • Hive script in Athena

 

Sqoop Introduction

  • Import data from oracle mysql mssql
  • Store data in hive
  • Delemeter change
  • Incremental data lode
  • Performance tuning
  • Sqoop automate using shell script

 

Sqoop export

  • Problems to export
  • Clean data

 

Hive Introduction

  • Create table to csv, json data. Serdes, process
  • orc, parquet datasets.
  • Hive Partition, bucketing, advanced techniques

 

Introduction Why Spark?

  • What is RDD?
  • RDD properties
  • Spark Architecture
  • Why spark is Fast?
  • Key-Value Pair RDDs
  • DAG
  • Rdd Operations (Transformations &
  • actions) 
  • RDD advanced topics (debugging, web
  • UI)
  • Most frequently used spark functions
  • RDD easily process
  • rdd to dataframe 
  • SparkSQL:
  • Ways to create Dataframes
  • CaseClass
  • Process CSV data using RDD
  • Process sample json & complex jsondata 
  • Process xml, avro, parquet, orc, process hive
  • data using spark.

 

Process different type of datasets

  • Create a jar and submit API 
  • Dataframe operations 
  • Memory management and catalyst optimizer
  • internals.
  • Spark Cassandra integration
  • In dev env & aws env

 

Introduction about AWS

  • IAM & EMR how to create and practice spark
  • in EMR
  • How to submit a job in EMR
  • Spark Hbase Phoenix integration
  • DataSet API
  • Power of Decoder
  • Serialization concept in DataSet
  • Detaset APz
  • Dag Scheduler
  • Memory management in Spark
  • Web UI & debugging
  • Spark streaming Architecture
  • DStreams & micro batching
  • Batch vs Streaming
  • Spark Streaming Architecture
  • Kafka introduction,
  • How kafka working
  • Spark & Kafka integration
  • Spark Kafka Nifi integration 
  • Spark Structure streaming introduction 
  • Spark Structure streaming Kafka
  • Optional Training
  • Flink introduction
  • Flink table API
  • Flink streaming 
  • Spark Overview Training Curriculum - Confidential
  • Cloudera, certification and AWS certification tips
  • How to practice Hortonworks, cloudera and
  • databricks.Commercials
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Mr.Venu Katragadda

The trainer has 9 years of industry experience and more than 5 years of teaching experience and trained 200+ students.The trainer is expert in business planning, training and project development & management. 

Trainer Skillset:

  • Cloud Technologies- such as AWS and azure 
  • Database Technologies-MySQL, Oracle, redshift, HBase, Cassandra; 
  • Programming-Python, Scala and R 
  • Analytics- Spark core, SparkSQL, SparkStreaming, Flink, Zeppelin, Kafka, Hadoop, Hive, Pig, HBase, Zookeeper, Flume, Sqoop, Cassandra

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Description

Every year we have a big increment of data that we need to store and analyze. AWS is a web service used to process and store a vast amount of data, and it is one of the largest Hadoop operators in the world. We will teach you how to create Spark clusters on the Amazon Web Services (AWS) platform. With the increase in the amount of data generated and collected by many businesses and the arrival of cost-effective cloud-based solutions for distributed cloud computing, the feasibility to crunch large amounts of data to get deep insights within a short span of time has increased greatly.

This course will get you started with AWS so that you can quickly create your own account and explore the services provided, many of which you might be delighted to use. You'll learn to perform cluster-based data modeling using Gaussian generalized linear models, binomial generalized linear models, Naive Bayes, and K-means modeling; access data from S3 Spark DataFrames and other formats like CSV, JSON, and HDFS; and do cluster-based data manipulation operations with tools like SparkR and SparkSQL.By the end of this course, you will have a thorough understanding of Spark and AWS, and you will be able to perform full-stack data analytics with a feeling that no amount of data is too big.

This is an instructor-led course. In the 90-hour deep-dive into Spark using AWS, students will get Online-Live training where they will get both the theoretical and practical knowledge needed to build the necessary skills. The institute’s holistic approach is stemmed to meet the long-term needs of the student and hence they provide 100% job/placement assistance with the option of seeking a trial class before the enrolment. 

 

What Will I Learn?

  • Create Hadoop & Scala environment in Intellij and Run sample scala program in Intellij
  • Pyspark script in glue, Scala spark script in glue and Hive script in Athena

Specifications

  • Free Demo
  • Learn from Experts
  • Interactive Learning
  • Missed Class Recovery
  • Instalment Facility
₹25,000 ₹ 25,000

Hurry up!! Limited seats only

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