Best Azure Data Bricks Training In Hyderabad

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Azure Data Bricks in Training Hyderabad

Azure Databricks is a simple, fast, and collaborative Apache Spark-based analytics tool. It increases innovation by bringing together data science, data engineering, and business. Making the data analytics process more productive, safe, scalable, and customised for Azure.

40 Modules

with Certifications

Certificate

After Completion

English

Language

The Databricks cloud service was created by the same team that began the Spark research project at UC Berkeley, which eventually became Apache Spark and is the dominant Spark-based analytics platform. This new service, called Microsoft Azure Databricks training
offers data science and data engineering teams a fast, simple, and collaborative Spark-based platform on Azure. It provides Azure customers with a unified platform for Big Data processing and Machine Learning.

Best Azure Databricks training is a Microsoft “first party” offering, the product of a year-long effort between the Microsoft and Databricks teams to integrate Databricks’ Apache Spark-based analytics tool into the Microsoft Azure platform.

Azure Databricks training takes use of Azure’s security and connects smoothly with Azure services like Azure Active Directory, SQL Data Warehouse, and Power BI.

Apache Spark +Azure Databricks + enterprise cloud = Azure Databricks
It’s a fully managed version of the open-source Apache Spark analytics, with optimised storage platform connectors for the fastest data access.
It provides a notebook-oriented Apache Spark as-a-service workspace environment that enables interactive data exploration and cluster management simple.
It’s a cloud-based machine learning and big data platform that’s safe and secure.
Scala, Python, R, Java, and SQL are among the languages supported.

Who can Enrol?

Analysts
Software Architects
Data Scientists
Software Developers
Data Warehouse Managers and Business Intelligence Specialists
Database Developers

As A Prerequisite Aspirant should ideally have some database experience and a basic understanding of SQL. If you come from a Business Intelligence background that is more dashboard-oriented (or have good knowledge of a platform such as Excel, SAS etc). Enoll with Version IT one of the Leading azure databricks institutes in Hyderabad to learn azure databricks course with real time projects.

Career Opportunities with Azure Data Bricks

Many companies are now looking for employees with good practical knowledge and communication abilities, and they are willing to provide competitive salaries for the right candidates. Azure Databricks job roles include Azure Databricks Developer, Azure Data Engineer, Senior Azure Data Engineer,Azure Big Data Engineer,Azure Databricks Administrator, Lead Azure Data Engineer, Azure Databricks Application Developer, Azure Databricks Developer, and so on. This is an excellent opportunity for students or recent graduates who wish to pursue a career in the field of Azure Databricks. We offer Azure Databricks training with real-world projects and can also assist you with resume preparation. Join Version IT’s Azure Databricks training in Hyderabad to boost your career.

Topics You will Learn

Cloud Computing Concepts

What is the “Cloud”?
Why cloud services
Types of cloud models
- Deployment Models
- Private Cloud deployment model
- Public Cloud deployment model
- Hybrid cloud deployment model
- Microsoft Azure,
- Amazon Web Services,
- Google Cloud Platform
Characteristics of cloud computing
- On-demand self-service
- Broad network access
- Multi-tenancy and resource pooling
- Rapid elasticity and scalability
- Measured service
Cloud Data Warehouse Architecture
Shared Memory architecture
Shared Disk architecture
Shared Nothing architecture

Core Azure services

Core Azure Architectural components
Core Azure Services and Products
Azure solutions
Azure management tools

Security, Privacy, Compliance

Securing network connectivity
Core Azure identity services
Security tools and features
Azure Governance methodologies
Monitoring and reportingS
Privacy, compliance, and data protection standards

Azure Pricing and Support

Azure subscriptions
Planning and managing costs
Azure support options
Azure Service Level Agreements (SLAs)
Service Lifecycle in Azure

Introduction to Azure Databricks

Introduction to Databricks
Azure Databricks Architecture
Azure Databricks Main Concepts

Azure Databricks Account Creation

Azure Free Account
Free Subscription for Azure Databricks
Create Databricks Community Edition Account

Databricks Integration with Azure Data Lake Storage Gen2

Reading files from Azure Data Lake Storage Gen2

Databricks Integration with Azure Data Lake Storage Gen1

Reading Files from data lake storage Gen1

Reading and Writing CSV files in Databricks

Read CSV Files
Read TSV Files and PIPE Seperated CSV Files
Read CSV Files with multiple delimiter in spark 2 and spark 3
Reading different position Multidelimiter CSV files

Reading and Writing Parquet files in Databricks

Read Parquet files from Data Lake Storage Gen2
Reading and Creating Partition files in Spark

Databricks Integration with CosmosDB SQL API

Reading and Writing data from Azure CosmosDB Account

Python Introduction

Python Introduction
Installation and setup
Python Data Types for Azure Databricks

Python Data Types

Deep dive into String Data Types in Python for Azure Databricks
Deep dive into python collection list and tuple
Deep dive on set and dict data types in python

Python Functions and Arguments

Python Functions and Arguments
Lambda Functions

Python Modules and Packages

Python Modules and Packages

Python Flow Control

Python Flow Control
For-Each
While

Python File Handling

Python File Handling

Python Logging Module

Python Logging Module

Python Exception Handling

Python Exception Handlings

Azure Data Factory Integration with Azure Databricks

Python Modules and Packages

Databricks Cluster Types and Notebook Options

Creating and configuring clusters
Create Notebook
Quick tour on notebook options

Databricks Utilities and Notebook Parameters

Dbutils commands on files, directories
Notebooks and libraries
Databricks Variables
Widget Types
Databricks notebook parameters

Databricks Integration with Azure Blob Storage

Azure Databricks CLI Installation
Databricks CLI – DBFS, Libraries and Jobs

Azure Databricks CLI Installation Databricks CLI - DBFS, Libraries and Jobs

Read data from Blob Storage and Creating Blob mount point

Parsing Complex Json FilesL

Reading and Writing JSON Files
Reading, Transforming and Writing Complex JSON files

Reading and Writing ORC and Avro Files

Reading and Writing ORC and Avro Files

Databricks Integration with Azure Synapse

Reading and Writing Azure Synapse data from Azure Databricks

Databricks Integration with Amazon Redshift(Redshift)

Read and Write data from Redshift using databricks

Databricks Integration with Snowflake

Reading and Writing data from Snowflake

Pyspark Introduction

Pyspark Introduction
Pyspark Components and Features

Spark Architecture and Internals

Apache Spark Internal architecture
jobs stages and tasks
Spark Cluster Architecture Explaine

Spark RDD

Different Ways to create RDD in Databricks
Spark Lazy Evaluation Internals & Word Count Program
RDD Transformations in Databricks & coalesce vs repartition
RDD Transformation and Use Cases

Spark SQL

- Spark SQL Introduction
- Different ways to create DataFrames

Spark SQL Intenals

Catalyst Optimizer and Spark SQL Execution Plan
Deep dive on Sparksession vs sparkcontext
spark SQL Basics part-1
RDD Transformation and Use Cases

Spark SQL Basics

Spark SQL Basics Part-2
Joins in Spark SQL

Spark SQL Functions and UDFs

Spark SQL Functions part-1
Spark SQL Functions part-2
Spark SQL Functions Part-3
Spark SQL UDFs
Spark SQL Temp tables and Joins

Databricks Delta and Implementing Dimensions SCD1 and SCD2

Implementing SCD Type1 and Apache Spark Databricks Delta
Delta Lake in Azure Databricks
Implementing SCD Type with and without Databricks Delta

Databricks Streaming

Delta Streaming in Azure Databricks
Data Ingestion with Auto Loader in Azure Databricks

Azure Databricks Projects

Azure Databricks Project-1
Azure Databricks Project-2

Databricks Integration with Azure Devops

Azure Databricks CICD Pipelines

Let Your Certificates Speak

All You Need to Start this Course

Testimonials

I had the pleasure of attending version IT for devops course training in Ameerpet, Hyderabad.The phani sir training is highly skilled and have a great passion in terms of understanding. They make each student feel very confident and provide a great learning environment. The course material is very comprehensive and well-structured, making is to follow.

Recently I joined Azure (virtual) personally,I suggest... if anyone wants to learn Azure, you should join the Version IT Institute. because their teaching is phenomenal. Even though I am an online student, I have a great experience. The way of explanation is very understandable, providing daily notes through pdf/docx format and faculty is available 24*7 to clarify doubts. I am really glad that I joined Version IT, after joining your Institute... My skills have improved. Thank you so much for your guidance.

Gained Good knowledge and experience in Version IT. I joined here for a Salesforce CRM course and was attending online classes. My trainer was excellent the telling the way he taught was really amazing. No matter how difficult a concept is he narrates in such a way that you can understand easily. But need to have some interest first.

The training was highly informative and well and real world insights and practical tools, making it a valuable learning experience. Version IT is the best institute for GCP Devops Training in Hyderabad.

Still Having Doubts?

Can I use Azure Key Vault to store keys and secrets for Azure Databricks?

Yes. Azure Key Vault may be used to store keys and secrets for usage with Azure Databricks.

Can I use Azure Virtual Networks in conjunction with Databricks?

Yes. Azure Databricks may be used with an Azure Virtual Network (VNET).

How can I use a laptop to access Azure Data Lake Storage?

Take the following steps:

Provision a service principal and register its key in Microsoft Enter ID (previously Azure Active Directory).
In Data Lake Storage, provide the service principal with the appropriate rights.
Use the service principal credentials in Notebook to access a file in Data Lake Storage.

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