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Azure Databricks Online Training

About The Course

Azure Databricks training(ADB) in Hyderabad is an easy, fast, and collaborative Apache spark-based analytics platform. It accelerates innovation by bringing data science data engineering and business together. Making the process of data analytics more productive more secure more scalable and optimized for Azure.

Databricks cloud service is built by the team that started the Spark research project at UC Berkeley that later became Apache Spark and is the leading Spark-based analytics platform. This new service, named Microsoft Azure Databricks training, provides data science and data engineering teams with a fast, easy and collaborative Spark-based platform on Azure. It gives Azure users a single platform for Big Data processing and Machine Learning.

Best Azure Databricks training is a “first party” Microsoft service, the result of a unique year-long collaboration between the Microsoft and Databricks teams to provide Databricks’ Apache Spark-based analytics service as an integral part of the Microsoft Azure platform.

ADB training in Hyderabad leverages Azure’s security and seamlessly integrates with Azure services such as Azure Active Directory, SQL Data Warehouse, and Power BI.

  • Azure Databricks + Apache Spark + enterprise cloud = Azure Databricks
  • It is a fully-managed version of the open-source Apache Spark analytics and it features optimized connectors to storage platforms for the quickest possible data access.
  • It offers a notebook-oriented Apache Spark as-a-service workspace environment which makes it easy to explore data interactively and manage clusters
  • It is secure cloud-based machine learning and big data platform.
  • It is supporting multiple languages such as Scala, Python, R, Java, and SQL.

Course Features :

40 Hrs Instructer Led Training
Job Assistance
30 Hrs Self-paced Videos
Lifetime Video Access
Flexible Schedule
Mentor Support

Upcoming Live Online Classes :

Azure Databricks


09-11-2023:Thrusday

8:00 AM-IST


By A.R Venkat M.Tech(IISC)





Instructer Led Training


Live demonstration of the industry-ready skills.

Schedule your sessions at your comfortable timings.

Virtual instructor-led training (VILT) classes.

Real-time projects and certification guidance.

Self-Paced Learning Videos


90 hours of ADB Training videos

Curated and delivered by industry experts

Latest version curriculum with covered

Get lifetime access to the LMS

Learn technology at your own pace

24x7 learner assistance

Certification guidance provided

Azure Databricks Cource Curriculum :


Session1:
ADB_Session1_Apache Spark Introduction

Session2:
ADB_Session2_Apache Spark Architecture

Session3:
ADB_Session3_Apache Spark_DriverNode Internals

Session4:
ADB_Session4_Apache Spark_Worker Node Internals

Session5:
ADB_Session5_Azure Databricks Introduction

Session6:
ADB_Session6_Create Azure Databricks Workspace

Session7:
ADB_Session7_Create Azure Databricks All-Purpose Cluster

Session8:
ADB_Session8_Databricks All-Purpose Cluster_Databricls Pools_Spot Instances

Session9:
ADB_Session9_RDD(Reslient Distributed Dataset)_Introduction

Session10:
ADB_Session10_RDD_Types of Operations_Types of Transformations

Session11:
ADB_Session11_Introduction To Databricks Utilities(dbutils Module)

Session12:
ADB_Session12_Databricks File System Utility_Commands

Session13:
ADB_Session13_Creation of Structured API_DataFrame

Session14:
ADB_Session14_Creation of DataFrame_Schemas

Session15:
ADB_Session15_Data Ingestion_Azure BlobStorage

Session16:
ADB_Session16_Data Ingestion_Mount Azure BlobStorage To DBFS

Session17:
ADB_Session17_Data Ingestion_Direct Access to Azure BlobStorage Using Account Key

Session18:
ADB_Session18_Azure Blob Storage_ABFS_Account Access Keys_Direct Access

Session19:
ADB_Session19_ADLS Gen2_ABFS_OAuth2.0 with Azure Service Principal

Session20:
ADB_Session20_ADLS Gen2_ABFS_Access Key_SAS Token

Session21:
ADB_Session21_Azure SQL Database_Data Ingestion

Session22:
ADB_Session22_Reading CSV Files_User Defined Schema

Session23:
ADB_Session23_Reading_SingleLine_MultiLine_Simple JSON Files

Session24:
ADB_Session24_Reading_MultiLine_Complex JSON Files

Session25:
ADB_Session25_PySpark_Explode Function_Array_Map

Session26:
ADB_Session26_Reading_Writing_XML File formats

Session27:
ADB_Session27_Reading_Writing_Excel File formats

Session28:
ADB_Session28_Reading_Writing Data _Snowflake

Session29:
ADB_Session29_Reading_Writing Data _Azure Synapse Dedicated SQL Pool

Session30:
ADB_Session30_Batch ETL Processing

Session31:
ADB_Session31_Batch ETL Processing

Session32:
ADB_Session32_Batch ETL Processing_Replace Nulls with Literals

Session33:
ADB_Session33_Batch ETL Processing_GroupBy_Aggregation Processing

Session34:
ADB_Session34_Batch ETL Processing_GroupBy_Aggregation Processing

Session35:
ADB_Session35_Batch ETL Processing_PySpark_Join Types

Session36:
ADB_Session36_Batch ETL Processing_PySpark_Union_UnionAll

Session37:
ADB_Session37_Batch ETL Processing_PySpark_Distinct_DropDuplicates Methods

Session38:
ADB_Session38_Spark Structured Streaming API

Session39:
ADB_Session39_Data Lake Introduction

Session40:
ADB_Session40_Delta Lake Introduction

Session41:
ADB_Session41_Delta Lake Features_BigData File Formats

Session42:
ADB_Session42_Delta Lake Creation

Session43:
ADB_Session43_Create Delta Table

Session44:
ADB_Session44_Create Delta Table__Spark SQL

Session45:
ADB_Session45_Delta Lake Table_PySpark_DataFrame

Session46:
ADB_Session46_Delta Lake_OPTIMIZE and ZORDER_Performance Optimization

Session47:
ADB_Session47_Delta Lake_Delta Cache

Session48:
ADB_Session48_Delta Table Instance

Session49:
ADB_Session49_Create Database_SparkSQL

Self-paced Video Learning Assignments :


Assignment1:
ADB_Assignment1_Introduction To Distributed Computing

Assignment2:
ADB_Assignment2_Data Parallel Parocessing using MapReduce Paradigm

Assignment3:
ADB_Assignment3_Data Parallel Parocessing using MapReduce and Spark Paradigm

Assignment4:
ADB_Assignment4_Apache Spark Introduction

Assignment5:
ADB_Assignment5_Apache Spark Architecture

Assignment6:
ADB_Assignment6_Apache Spark_DriverNode Internals

Assignment7:
ADB_Assignment7_Apache Spark_Worker Node Internals

Assignment8:
ADB_Assignment8_RDD(Reslient Distributed Dataset)_Introduction

Assignment9:
ADB_Assignment9_Create RDD Using Parallelize Method

Assignment10:
ADB_Assignment10_Create Plain or Generic RDD

Assignment11:
ADB_Assignment11_Create Plain RDD_Paired RDD

Assignment12:
ADB_Assignment12_Spark Low Level API's vs Structured API's

Assignment13:
ADB_Assignment13_Databricks Widgets Utility

Assignment14:
ADB_Assignment14_Databricks Widgets Utility Using Python Functions

Assignment15:
ADB_Assignment15_Python Functions

Assignment16:
ADB_Assignment16_Python Dictionaries_Functions_Widgets

Assignment17:
ADB_Assignment17_Access Azure Blob Storage_WASBS_ABFS Drivers

Assignment18:
ADB_Assignment18_Azure Blob Storage_WASBS_Account Access Key_SAS Token_Mount Point

Assignment19:
ADB_Assignment19_Azure Blob Storage_WASBS_Account Access Key_Direct Access

Assignment20:
ADB_Assignment20_Azure Blob Storage_WASBS_SAS Token_Direct Access

Assignment21:
ADB_Assignment21_Reading TSV Files_User Defined Schema

Assignment22:
ADB_Assignment22_Reading Single_Double_PIPE Delimited Files

Assignment23:
ADB_Assignment23_Reading_Multiple_Different_Delimiter CSV Files

Assignment24:
ADB_Assignment24_Apache Spark_Create Database_Create Global Tables

Assignment25:
ADB_Assignment25_Apache Spark_Create Database_Create Global Tables

Assignment26:
ADB_Assignment26_Apache Spark_Create Database_Create Global Tables_Local Tables

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