Azure Databricks Training in Indore - TutorsBot

Azure Databricks Training in Indore

Azure Databricks Training in Indore at TutorsBot is a practical oriented training program that helps the students to master in Azure Databricks lifecycle. Our certification training will help training participants learn as much Azure Databricks as possible in order to pass the Azure Databricks certification exam. We also offer placement training to course participants in order to place them in high-paying jobs and increase job hiring opportunities. Azure Databricks training projects demonstrate clear real-world Azure Databricks implementation. Attend our free demo class before enrolling in our training programme to receive free career counselling.

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Course Features

Free Demo Classes

Placement Training

Doubt Resolution

Certification Guidance

Updated Syllabus

Affordable Price

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Course Overview

Databricks is an Apache Spark-based analytics platform. Databricks has been optimised for Microsoft's Azure cloud services platform. Azure Dataricks is the name given to this service. Databricks and Azure are integrated to provide one-click setup, streamlined workflows, and an interactive workspace. Azure Databricks allows data scientists, data engineers, and business analysts to collaborate. Azure Databricks training requires Python programming as well as a basic understanding of SQL and databases.

The concepts of the big data ecosystem and Azure Databricks are introduced in this Azure Databricks course. It then delves into the internals of Azure Databricks' Spark, RDD, Dataframes, workspace, Jobs, Kafka, Streaming, and various data sources. This training covers advanced Azure Databricks concepts such as caching and REST API development. Our Azure Databricks certified expert consultant will teach on a real-time scenario-based case study and will provide study material and a PowerPoint presentation. We will assist you in passing your Azure Databricks training certification by providing you with the necessary guidance.

Course Syllabus

Azure Databricks: An Overview

  • What is Azure Databricks?

  • What is Databricks Data Science & Engineering?

  • What is Databricks Machine Learning?

  • What is Databricks SQL?

Azure Databricks Workspace using the Azure portal

  • Prerequisites

  • Create an Azure Databricks workspace

  • Create a Spark cluster in Databricks

  • Run a Spark SQL job

  • Clean up resources

Azure Databricks workspace using PowerShell

  • Prerequisites

  • Use Azure Cloud Shell

  • Create a resource group

  • Create an Azure Databricks workspace

  • Determine the provisioning state of a Databricks workspace

  • Clean up resources

Azure Databricks workspace by using an ARM template

  • Prerequisites

  • Review the template

  • Deploy the template

  • Review deployed resources

  • Clean up resources

Azure Databricks workspace in Virtual Network

  • Sign in to the Azure portal

  • Create a virtual network

  • Create an Azure Databricks workspace

  • Create a cluster

  • Clean up resources

Azure Databricks concepts

  • General concepts

  • Databricks Data Science & Engineering

  • Databricks Machine Learning

  • Databricks SQL

Azure Databricks architecture

  • overview

  • High-level architecture

Databricks Data Science & Engineering

  • Apache Spark analytics platform

  • Apache Spark in Azure Databricks

  • Enterprise security

  • Integration with Azure services

Databricks Machine Learning

  • Feature store

  • Experiments

  • Models

  • AutoML

  • Databricks Runtime for Machine Learning

Databricks SQL

  • Learn about Databricks SQL by importing the sample dashboards

  • Complete the admin onboarding tasks

  • Get started as a Databricks SQL administrator

  • Get started as a Databricks SQL user

  • Databricks SQL concepts

Databricks Integrations

  • Databricks partners

  • Data ingestion

  • Data preparation and transformation

  • Machine learning

  • BI and visualization

  • Additional solutions

Fivetran

  • Connect to Fivetran by using Partner Connect

  • Connect to Fivetran

Infoworks

  • Generate a Databricks personal access token

  • Set up a cluster to support integration needs

  • Obtain JDBC and ODBC connection details to connect to a cluster

  • Get Infoworks for Azure Databricks

Labelbox

  • Connect to Labelbox by using Partner Connect

  • Connect to Labelbox

  • Set up the ML cluster and Labelbox starter notebook

Looker

  • Get Azure Databricks connection information

  • Configure Azure Databricks connection in Looker

  • Begin modeling your database in Looker by creating a project and running the generator

  • Enable and manage persistent derived tables (PDTs)

MicroStrategy

  • Get Azure Databricks connection information

  • Configure Azure Databricks connection in MicroStrategy Workstation

Mode

  • Get Azure Databricks connection information

  • Configure Azure Databricks connection in Mode

Power BI

  • Requirements

  • Connect with Power BI Desktop by using Partner Connect

  • Connect with Power BI Desktop

  • Using a custom SQL query

  • Access Azure Databricks data source using the Power BI service

  • Power BI Delta Sharing Connector

  • Limitations

Prophecy

  • Connect to Prophecy by using Partner Connect

  • Connect to Prophecy

Qlik Replicate

  • Generate a Databricks personal access token

  • Set up a cluster to support integration needs

  • Obtain JDBC and ODBC connection details to connect to a cluster

  • Configure Qlik Replicate with Azure Databricks

Qlik Sense

  • Get Azure Databricks connection information

  • Configure an Azure Databricks connection in Qlik Sense

Rivery

  • Connect to Rivery by using Partner Connect

  • Connect to Rivery manually

SQL Workbench/J

  • Get Azure Databricks connection information

  • Configure Azure Databricks cluster connection in Workbench/J

StreamSets

  • Generate a Databricks personal access token

  • Set up a cluster to support integration needs

  • Obtain JDBC and ODBC connection details to connect to a cluster

  • Get StreamSets for Azure Databricks

  • Learn how to use StreamSets to load data into Delta Lake

Paul Durai

Azure Databricks Specialist

Paul Durai is a certified professional with over 5 years of experience in their field, and He is Azure Databricks domain working professional, and have many live projects that they will use during training sessions.

Azure Databricks Training in Indore Key Skills

  • Big Data
  • Hadoop
  • HDFS, YARN, MapReduce
  • Spark
  • Kafka
  • NiFi
  • Hive, Cassandra
  • DataFrames
  • SQL query
  • UDF
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Advantages in TutorsBot

  • Placement Team for Job Assurance to Course Enroller
  • Professional Trainer from IT Industry
  • Deidicated Support Team for Training and Development
  • Practical Training Program includes Hand On Project Session
  • More than 150 Subject Matter Expert Community
  • Five Years of Training Services Provider
  • Placed More than 850 Students

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Projects

Data science and machine learning with Azure

Easily extract insights from live-streaming data. Capture and process data in near-real time from any IoT device or logs from website clickstreams.

Modern analytics architecture with Azure Databricks

Use best-in-class machine learning tools to transform your data into actionable insights. This architecture enables you to combine any data at any scale, as well as build and deploy custom machine learning models at any scale.

Pipelines for ingestion, ETL, and stream processing with Azure Databricks

Accelerate and manage your machine learning lifecycle from start to finish by using Azure Databricks, MLflow, and Azure Machine Learning to create, share, deploy, and manage machine learning applications.

Training Options

Self Paced Learning

Affordable Price

Flexible Timing

Videos from Experts

Updated Syllabus

Instructor-Led Training

Monday, December 9th 2024

Monday to Friday

5:00 AM to 10:00 PM GMT +5:30

Class Duration : One Hour

Saturday, December 14th 2024

Saturday to Sunday

5:00 AM to 10:00 PM GMT +5:30

Class Duration : Three Hours

Wednesday, December 11th 2024

Monday to Friday

5:00 AM to 10:00 PM GMT +5:30

Class Duration : One Hour

Saturday, December 14th 2024

Saturday to Sunday

5:00 AM to 10:00 PM GMT +5:30

Class Duration : Three Hours

Expert Trainers

Doubt Resolutions

Dedicated Support Team

Placements Assistance

Corporate Training

Customized Syllabus

Easy Employee Up-Skilling

Dedicated LMS

Full Time Support

Get Your Course Certificate

The course is in line with respective certification programs, and upon the completion of the training, TutorsBot’s course completion certificate will be awarded upon the completion of the projects, along with other certifications.

This certificate is a proof that you have completely mastering in the domain. This certificate validate you have worked in assignments, exercises, projects and case studies. Share your certificate and achievement on LinkedIn, Facebook or Twitter.

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Course Timing

Weekdays

Monday to Friday

Timing 8:00 to 10:00

Weekend

Saturday & Sunday

Timing 9:00 to 9:00

Online

Monday to Sunday

Timing 7:00 to 10:00

Fast-track

Monday to Sunday

Timing 7:00 to 10:00

Course Review

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Training FAQ

To know more about the Azure Data Factory training program, you can either contact us through a phone call, email, or live chat. Our customer service team can provide a detailed explanation and further, they can resolve your queries about the master's program.

TutorsBot team provides support from training onboarding, assignments, micro-learning exercise, and doubt resolutions. TutorsBot team also provide resume building, mock interview, placement assistance, and project mentoring.

No, TutorsBot's placement team help to increase the opportunity of getting the job by providing technical training, industry projects, case studies, resume preparation and mock interviews.

At TutorsBot, you can enroll in either instructor-led online training or instructor-led campus training. We also provide corporate training for workforce upskilling.

You can make payment any of the following options credit card, debit card, net banking, and wallets and by cash. After paying the payment you will receive an email with the receipt.

Yes, After deducting admission fees for the training program; We will refund the remaining amount. Refund will not avail after attending five classes of the course enrollment. To know more about the refund policy, check our Refund Policy webpage in the website's footer.

Yes, we provide Jenkins, Kubernetes, Docker, Ansible, Puppet, Maven, Chef, AWS, Microsoft Azure, and Git.

TutorsBot's programme faculty are selected from a pool of numerous profiles and have over 5 years of expertise in the industrial domain as well as reputable training backgrounds. We only allow faculty to be training faculties in TutorsBot once we have evaluated their technical skills with numerous alumni evaluations.

Azure Data Factory Training program will have a duration of 3 months.

Azure Data Factory is becoming a high-demand job in the industry. Enrolling in a Azure Data Factory program will increase your knowledge in Azure Data Factory and increase your career transition. In this course, the training syllabus updated based on current domain trends.

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