microsoft-azure

» Introductory Level
» For Data Engineers, Data Analysts
» Instructor Led
» Classroom or Virtual
» Installations on Azure cloud
» Labs on Virtual Machine
» Real-time Projects
» 16 hours of instruction time

Topics Covered:

✓ Linux Basics
✓ Security
✓ Cloud Infrastructure
✓ SQL
✓ Big Data
✓ Azure

azure-blob

» Introductory Level
» For Data Engineers, Data Analysts
» Instructor Led
» Classroom or Virtual
» Installations on Azure cloud
» Labs on Virtual Machine
» Real-time Projects
» 16 hours of instruction time

Topics Covered:

✓ Introduction to Blob Storage
✓ Types of Blob Storage
✓ Blob Storage Components
✓ Working with Azure Blob Storage using GUI
✓ Working with Azure Blob Storage using Windows Powershell
✓ Azure Data Lake

HDInsightsDetails

» Introductory Level
» For Data Engineers, Data Analysts
» Instructor Led
» Classroom or Virtual
» Installations on Azure cloud
» Labs on Virtual Machine
» Real-time Projects
» 16 hours of instruction time

Topics Covered:

✓ Azure Big Data Life Cycle
✓ Azure Big Data Service - HDInsight
✓ Installation
✓ HDInsight Storage
✓ WASB
✓ HDInsight Architecture vs Hadoop
✓ Hive on HDInsight

Azure-SQL-Data-Warehouse

» Introductory Level
» For Data Engineers, Data Analysts
» Instructor Led
» Classroom or Virtual
» Installations on Azure cloud
» Labs on Virtual Machine
» Real-time Projects
» 16 hours of instruction time

Topics Covered:

✓ Deficiencies of the Traditional Data Warehouses
✓ Architecture
✓ MPP
✓ Control Node
✓ Compute Node
✓ Storage
✓ Data Movement Service
✓ Data Warehouse Units (DWU)
✓ Data Distribution
✓ Table Types
✓ Compatible Joins
✓ Partitioning
✓ Indexing
✓ Loading Data
✓ Polybase
✓ Performance & Statistics
✓ Azure Data Piplines

Python

» Intermediate Level
» Prerequisite: Big Data & Hadoop
» For Data Engineers, Data Analysts, Data Scientists
» Instructor Led
» Classroom or Virtual
» Labs on Virtual Machine
» Real-time Projects
» 16 hours of instruction time

Topics Covered:

✓ Python Basics
✓ String Manipulation
✓ Mathematical Calculations
✓ Lists & Tuples
✓ Functions and Packages
✓ NumPy
✓ Decision Making
✓ Loops
✓ File Operations
✓ Regular Expressions
✓ Dictionary
✓ Arguments
✓ Lambda Functions
✓ Error Handling
✓ Importing Data

spark_logo

 » Intermediate Level
» Prerequisite: Big Data & Hadoop
» For Data Engineers, Data Analysts, Data Scientists
» Instructor Led
» Classroom or Virtual
» Labs on Virtual Machine
» Real-time Projects
» 16 hours of instruction time

Topics Covered:

✓ Big Data Formats
✓ Spark vs. Yarn
✓ Spark Building Blocks
✓ Spark Interactive Shell - PySpark
✓ RDD
✓ Lazy Execution
✓ Data Partitioning
✓ Caching
✓ Datasets
✓ Data Frames
✓ Spark SQL
✓ Spark Applications

What our students say about us....

I have over 15 years of working experience in IT industry and have worked at different levels from System admin to SME and as Team Lead. As my technical skills revolve around Linux, UNIX (AIX) and AWS, I decided to take a leap in my career and learn BigData. My quest to learn brought me to Mr. Manoj Kukreja and I can say with confidence that his skills, both soft and technical, and his way of delivering the knowledge can make you from zero to hero in Hadoop provided that you follow strictly his guidelines. The learning environment was both book and hands on and Mr. Kukreja was always open to any question and won't stop explaining the concepts until they are well understood. Whoever wants to learn Hadoop, I would definitely recommend to take his guidance in this regard as I do to my own colleagues and friends.

Faisal Daud Senior AIX & Hadoop Consultant September 4, 2018

<< Prev
Next >>
Facebook
Twitter
LinkedIn
SOCIALICON