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Mohit Batra

In this course, you will learn about Azure Synapse Analytics & its integrated services - Workspace, Dedicated SQL, Apache Spark, Serverless SQL, Pipelines, Synapse Link to Cosmos DB, Power BI - and how it can be used to build a Data Lakehouse.

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In this course, you will learn about Azure Synapse Analytics & its integrated services - Workspace, Dedicated SQL, Apache Spark, Serverless SQL, Pipelines, Synapse Link to Cosmos DB, Power BI - and how it can be used to build a Data Lakehouse.

Data Lakehouse is an architecture that intends to bring the best of Data Warehouses and Data Lakes together. It helps to put together a common platform to handle huge volumes of data, process data faster, and serve multiple use cases. In this course, Building Your First Data Lakehouse Using Azure Synapse Analytics, you'll learn to use Azure Synapse Analytics. It is a totally new product that brings together data integration, enterprise data warehousing, and big data analytics together. It is a set of multiple, well-integrated, Azure Data Services - Workspace, Dedicated SQL Pool, Apache Spark Pool, Serverless SQL, Synapse Pipelines, Synapse Link to Cosmos DB, integrated Power BI workspace, and much more. First, you'll learn how to set up the Synapse workspace by bringing in multiple data sources. Next, you'll discover how to explore the data and how to work with Dedicated SQL Pool, and Apache Spark Pool to extract and transform the data. Finally, you'll explore how to ingest, transform, and orchestrate data using Synapse Pipelines, use a Serverless SQL Pool to build a logical data model, and use connected services to Synapse. By the end of this course, you'll have knowledge and skills to use Synapse Link for Cosmos DB, and the integrated Power BI experience to help to build an end-to-end Data Lakehouse.

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What's inside

Syllabus

Course Overview
Getting Started with Data Lakehouse and Azure Synapse Analytics
Working with Dedicated SQL Pool
Transforming Data with Synapse Spark Pool
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Ingesting, Transforming, and Orchestrating with Synapse Pipelines
Querying Data Using Serverless SQL Pool
Connecting Services with Azure Synapse Analytics

Good to know

Know what's good
, what to watch for
, and possible dealbreakers
Develops skills in analytics, data science, data warehousing, data lakehouses
Develops knowledge of Apache Spark, Serverless SQL, Synapse Link, Pipelines
Teaches knowledge and skills in a new product, Azure Synapse Analytics
Taught by the instructor Mohit Batra, who is recognized for work in data science
Explores data lakehouses, introducing a standard in industry
Requires experience with data platforms and SQL

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Activities

Be better prepared before your course. Deepen your understanding during and after it. Supplement your coursework and achieve mastery of the topics covered in Building Your First Data Lakehouse Using Azure Synapse Analytics with these activities:
Review Azure Synapse Analytics Concepts
Refreshes foundational knowledge on Azure Synapse Analytics concepts, enhancing understanding before the course.
Browse courses on Azure Synapse Analytics
Show steps
  • Review the course description and syllabus
  • Read introductory articles on Azure Synapse Analytics
  • Summarize the key concepts of Azure Synapse Analytics
Organize and Review Course Materials
Strengthens understanding by ensuring students have organized and accessible course materials, enabling effective review and reinforcement of concepts.
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Show steps
  • Download and gather all course materials
  • Create a system for organizing and storing materials
  • Review materials regularly to reinforce learning
Practice SQL Queries in Azure Synapse Analytics
Refines SQL skills and familiarizes students with the Azure Synapse Analytics environment, improving their ability to query data effectively.
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  • Create a free Azure Synapse Analytics account
  • Import sample data into your Azure Synapse Analytics workspace
  • Practice writing SQL queries to retrieve and manipulate data
Six other activities
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Follow Tutorials on Azure Synapse Analytics Features
Complements course material by exposing students to external resources, broadening their understanding of Azure Synapse Analytics features and applications.
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Show steps
  • Identify specific Azure Synapse Analytics features to explore
  • Search for and select relevant tutorials
  • Follow the tutorials and complete the exercises
Follow Data Lake Analytics Tutorials
Supplemental tutorials provide additional hands-on practice to reinforce course concepts.
Browse courses on Data Lakehouse
Show steps
  • Identify relevant tutorials
  • Complete tutorials step-by-step
  • Apply learnings to course assignments
Participate in Azure Synapse Analytics Study Group
Promotes peer learning, enhances understanding through group discussions, and provides opportunities to clarify concepts among students.
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Show steps
  • Join or create an Azure Synapse Analytics study group
  • Discuss course material, share knowledge, and work on projects together
  • Attend study group meetings regularly
Create a Blog Post on Azure Synapse Analytics Use Cases
Enhances understanding of Azure Synapse Analytics applications and reinforces course concepts by requiring students to articulate and explain use cases in a written format.
Browse courses on Azure Synapse Analytics
Show steps
  • Research different use cases of Azure Synapse Analytics
  • Choose a specific use case and gather relevant information
  • Write a blog post that explains the use case, its benefits, and how Azure Synapse Analytics can be used to implement it
Develop a Data Lakehouse Solution Using Azure Synapse Analytics
Provides hands-on experience in designing and implementing a comprehensive data lakehouse solution, solidifying course concepts and preparing students for real-world challenges.
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Show steps
  • Define the project scope and objectives
  • Design the data lakehouse architecture using Azure Synapse Analytics services
  • Implement the data lakehouse solution
  • Evaluate and iterate on the solution
Contribute to an Azure Synapse Analytics Open Source Project
Provides practical experience in applying Azure Synapse Analytics skills, contributes to the open source community, and enhances understanding by engaging in real-world problem-solving.
Browse courses on Azure Synapse Analytics
Show steps
  • Identify an Azure Synapse Analytics open source project to contribute to
  • Review the project's documentation and codebase
  • Make a contribution to the project

Career center

Learners who complete Building Your First Data Lakehouse Using Azure Synapse Analytics will develop knowledge and skills that may be useful to these careers:
Data Warehouse Developer
Data Warehouse Developers build and manage data warehouses, which are large repositories of data used for reporting and analysis. In this course, you will learn about Azure Synapse Analytics, a platform that brings together data integration, enterprise data warehousing, and big data analytics. This knowledge will provide you with the skills needed to succeed as a Data Warehouse Developer.
Data Engineer
Data Engineers design, build, and maintain the infrastructure and pipelines that store, process, and analyze data. With this course, you will learn about data integration, enterprise data warehousing, and big data analytics, which are the vital components of data engineering. Gaining these essential skills and knowledge will lay a foundation for your success in this role.
Data Analyst
Data Analysts collect, clean, and analyze data to identify trends and patterns. This course will enhance your data analysis skills by teaching you how to use Azure Synapse Analytics, a platform that combines data integration, enterprise data warehousing, and big data analytics. With this knowledge, you will be able to extract valuable insights from data, making you a more effective Data Analyst.
Data Scientist
Data Scientists use scientific methods, processes, algorithms, and systems to extract knowledge and insights from data. This course will help you build a foundation for a career in Data Science by providing you with a comprehensive understanding of Azure Synapse Analytics, a platform that brings together data integration, enterprise data warehousing, and big data analytics.
Data Architect
Data Architects design and build data systems that meet the specific needs of an organization. This course will equip you with the knowledge and skills needed to succeed in this role by teaching you about Azure Synapse Analytics, a platform that combines data integration, enterprise data warehousing, and big data analytics. With this understanding, you will be able to design and implement data systems that are efficient, scalable, and secure.
Business Intelligence Analyst
Business Intelligence Analysts use data to help businesses make better decisions. This course will provide you with the skills and knowledge needed to succeed in this role by teaching you about Azure Synapse Analytics, a platform that brings together data integration, enterprise data warehousing, and big data analytics. With this understanding, you will be able to extract valuable insights from data and communicate them effectively to stakeholders.
ETL Developer
ETL Developers design and build data pipelines that extract, transform, and load data from various sources into a data warehouse or other target system. This course will provide you with the skills and knowledge needed to succeed in this role by teaching you about Azure Synapse Analytics, a platform that combines data integration, enterprise data warehousing, and big data analytics. With this understanding, you will be able to design and build data pipelines that are efficient, scalable, and reliable.
Database Administrator
Database Administrators manage and maintain databases, ensuring that they are available, reliable, and secure. This course will provide you with the skills and knowledge needed to succeed in this role by teaching you about Azure Synapse Analytics, a platform that combines data integration, enterprise data warehousing, and big data analytics. With this understanding, you will be able to manage and maintain databases effectively, ensuring that they meet the needs of the organization.
Data Integration Engineer
Data Integration Engineers design and build systems that integrate data from multiple sources into a single, unified view. This course will provide you with the skills and knowledge needed to succeed in this role by teaching you about Azure Synapse Analytics, a platform that combines data integration, enterprise data warehousing, and big data analytics.
Data Management Consultant
Data Management Consultants help organizations improve their data management practices. This course may provide you with some of the skills and knowledge needed to succeed in this role by teaching you about Azure Synapse Analytics, a platform that combines data integration, enterprise data warehousing, and big data analytics.
IT Architect
IT Architects design and build the infrastructure and systems that support an organization's IT needs. This course may provide you with some of the skills and knowledge needed to succeed in this role by teaching you about Azure Synapse Analytics, a platform that combines data integration, enterprise data warehousing, and big data analytics.
Software Engineer
Software Engineers design, develop, and maintain software applications. This course may provide you with some of the skills and knowledge needed to succeed in this role by teaching you about Azure Synapse Analytics, a platform that combines data integration, enterprise data warehousing, and big data analytics.
Systems Analyst
Systems Analysts design, implement, and maintain computer systems, including hardware, software, and networks. This course may provide you with some of the skills and knowledge needed to succeed in this role by teaching you about Azure Synapse Analytics, a platform that combines data integration, enterprise data warehousing, and big data analytics.
Cloud Engineer
Cloud Engineers design, build, and maintain cloud-based systems. This course may provide you with some of the skills and knowledge needed to succeed in this role by teaching you about Azure Synapse Analytics, a platform that combines data integration, enterprise data warehousing, and big data analytics.
Network Engineer
Network Engineers design, build, and maintain computer networks. This course may provide you with some of the skills and knowledge needed to succeed in this role by teaching you about Azure Synapse Analytics, a platform that combines data integration, enterprise data warehousing, and big data analytics.

Reading list

We've selected three books that we think will supplement your learning. Use these to develop background knowledge, enrich your coursework, and gain a deeper understanding of the topics covered in Building Your First Data Lakehouse Using Azure Synapse Analytics.
Will provide foundational understanding of data warehousing concepts which will be very relevant for this course
Python is commonly used with Azure Synapse Analytics, so this foundational book recommended reading
While Azure Synapse is excellent for working with data, this can be used to help your exploration into the more complex topic of deep learning

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