Big Data
Learn Big Data from Industry ProfessionalsGetting intellectuals ready to become Big Data Experts!
During the Seven (7) weeks of the course, you will learn about the different ingredients of Big Data such as Hadoop, Spark, Pig, Hive, Sqoop etc.
In the subsequent weekly distribution of the course, participants will have hands-on experience on different pillars of the Big Data Ecosystem starting from parallel processing frameworks like Map Reduce & Spark, Distributed Storage techniques like HDFS, Big Data Administration Ambari etc.
At the end of the course candidates will have in-depth understanding & hands-on related to Big Data solutions like Cloudera & HortonWorks.
View Course Outline
Reserve Your Seat
Schedule
Starting
To be announced soon!
Duration
7 Weeks (Saturdays)
Timings
10:00AM to 06:00PM
Remaining
Limited Spots Available!
Instructors!
Meet the trainers of this course who are Big Data Experts!
Course Outline
Week 1
What is Big Data?
Big Data Era
Big Data- Data Sources
4 V’s of Big Data
Conventional Data Warehouse Architecture
Modern Data Warehouse Architecture
What is Data Discovery?
Distributed Computing & its Advantage
Big Data Processing Frameworks (Hadoop, Apache Spark, NoSQL Databases)
What is Hadoop & its History?
Apache Hadoop Stack
Introduction to Hortonworks, Cloudera & MapR (Their Differences)
Basics of Flume, Sqoop, Zookeeper, Ozie, HBase, Mahout, Hive, Pig
Hadoop Cluster (Master Node, Data Node, Namenode, Job Tracker, Task Tracker)
Hortonworks Sandbox Installation
HDFS
HDFS Working
HDFS Block Size
HDFS Replication Factor
HDFS Read
HDFS Write
HDFS Pipeline Writing
Week 2
Parallel Processing Basics
Map & Reduce
Hortonworks Configuration & Overview
Hortonworks HDFS Ingestion Lab
HDFS Commands
HDFS Data Ingestion Lab
Map Reduce Implementation
Hive
Hive Alignment with SQL
Hive Query Process
Hive Data Loading
Hive Managed Tables
Hive External Tables
Hive Table Location
Hive Bucketing & Partitioning
Hortonworks Hive Lab
Hive Views
Hive use for XML
Hive Supported File Format
Hive Data Model
Block Compression
Storage Formats in Hive
Week 3
Hadoop 1.0 VS Hadoop 2.0
YARN Architecture
YARN Resource Manager
YARN Node Manager
YARN Application Manager
YARN High Availability
YARN Request Model
YARN Schedulers
YARN Performance Gauging
YARN Performance Measuring
YARN System Health
Resource Allocation in YARN
Hortonworks Yarn Lab
Containers Concept in Hadoop
Tez Framework
Tez DAG
Week 4
PIG
PIG VS Hive
PIG Architecture
PIG-Latin
Grunt Shell & PIG Scripting
PIG Commands
Loading Data in PIG
PIG Filter
PIG Joins
Debugging Using PIG
PIG Execution Modes
PIG Execution Mechanism
HCatalog
Sqoop
Sqoop Architecture
Sqoop Execution Modes
Sqoop Lap
Lambda & Kafka Architecture & their Applications
Week 5
Why Apache Spark
Spark Driver
Spark Context
Spark Executors
Working with RDD
Spark Transformations (Map, Flatmap, Filter, Distinct)
Spark Actions (Collect, First, Take, Count, Reduce, Save-as-text)
Transformations VS Actions
Lazy Execution
Week 6
What is Spark Streaming
What is Spark SQL
Spark Lab
Loading Text File in Spark
Loading csv in Spark
Loading XML in Spark
Loading JSON in Spark
Introduction to
Week 7
Project & Test
Self-learning Path Guidance
Tools
Pricing
Following is price for this extensive training on Big Data
Individual
Price for an Individual Member
Rs
30,000
per person
Group of Two
7% Discount for a group of two people
Rs
27,900
per person
Group of Three
10% Discount for a group of Three people
Rs
27,000
per person
Group of Four
15% Discount for a group of Four people
Rs
25,500
per person
Frequently Asked Questions
Who should attend the course?
Recent graduates, third year and final year students from the computer science disciplines.
Professionals from the computer science domain who want to shift the profession to Big Data Analytics.
Executives who want to build the initial knowledge about the impact of the Big Data ecosystem on organization growth.
Who are the Instructors?
What is the timing of the course?
Duration: 7 weeks
Class Days: (Saturdays)
Timings: 10:00 AM to 06:00 PM
Can I get a job after this course?
Since our instructors are industry experts so they do train the students about practical world and also recommend the shinning students in industry for relevant positions.
How much hands-on will be performed in this course?
Since our courses are led by Industry Experts so it is made sure that content covered in course is designed with hand on knowledge of more than 70-75 % along with supporting theory.
What are the PC requirements?
For Big Data Professional course, you need to have Minimum Core i3 PC, 4th Generation with 12GB RAM and ideally Core i7, 5th Generation with 16GB RAM.
Will I get a certificate after this course?
Yes, you will be awarded with a course completion certificate by Dice Analytics. We also keenly conduct an annual convocation for the appreciation and recognition of our students.
Reserve your Seat
Fill the form to get yourself registered for the course