Building Data Solutions with Azure Synapse: Unlock the Power of Big Data and Data Warehousing

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Building Data Solutions Using Azure Synapse Course Overview

Azure Synapse is a cloud-based data solution that brings together big data and data warehousing. It allows organizations to analyze data from various sources, including structured and unstructured data, using Azure services such as Azure Databricks, Azure HDInsight, and Azure Machine Learning. Azure Synapse provides an integrated experience that enables data analysts, data engineers, and data scientists to work together in a single environment to build and manage data solutions.
 
Some key features of Azure Synapse include:
 
  • Data ingestion: Azure Synapse provides several data ingestion options, including batch data processing, real-time data streaming, and data lake storage.
  • Data warehousing: Azure Synapse provides a data warehousing solution that enables organizations to store and analyze massive amounts of structured data using SQL Server.
  • Data lakes: Azure Synapse provides a scalable and secure data lake that enables organizations to store and analyze big data using Apache Spark and Hive.
  • Data analytics: Azure Synapse provides advanced data analytics capabilities, including machine learning and data visualization, that can be used to discover insights and make data-driven decisions.
  • Collaboration and management: Azure Synapse provides a collaborative and integrated environment for managing and deploying data solutions, making it easier for organizations to share and reuse data assets.

Target Audience:

The target audience for building data solutions using Azure Synapse includes:
 
  • Data engineers: Data engineers who are responsible for designing and implementing data solutions to store, process, and analyze large amounts of data can use Azure Synapse to build and manage big data solutions.
  • Data analysts: Data analysts who need to perform complex data analysis and gain insights from large amounts of data can use Azure Synapse to quickly and easily access and analyze data from a variety of sources.
  • Data scientists: Data scientists who need to build and deploy machine learning models can use Azure Synapse to access and analyze large amounts of data and take advantage of Azure Machine Learning services to build, train, and deploy models.
  • Business analysts: Business analysts who need to make data-driven decisions and gain insights into their organization's data can use Azure Synapse to quickly and easily access and analyze data from a variety of sources.
  • IT professionals: IT professionals who are responsible for managing and deploying data solutions can use Azure Synapse to manage and monitor data solutions in the cloud and ensure data security and compliance.
Learning Objectives:
 
The learning objectives for building data solutions using Azure Synapse include:
 
  • Understanding Azure Synapse architecture: Understanding how Azure Synapse integrates big data and data warehousing and how it can be used to store, process, and analyze large amounts of data from various sources.
  • Data ingestion and storage: Learning how to ingest and store data in Azure Synapse, including structured and unstructured data, and how to manage data in data lakes and data warehousing.
  • Data processing and analysis: Learning how to process and analyze data in Azure Synapse using services such as Azure Databricks and Azure HDInsight, and how to perform complex data analysis and gain insights from large amounts of data.
  • Machine learning: Learning how to build and deploy machine learning models in Azure Synapse using Azure Machine Learning, and how to use machine learning to gain insights from large amounts of data.
  • Data visualization: Learning how to visualize data in Azure Synapse using Power BI and other visualization tools, and how to use visualizations to gain insights from large amounts of data.
  • Collaboration and management: Learning how to collaborate with other data professionals and how to manage and monitor data solutions in Azure Synapse, including data security and compliance.
 
 
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4-Hour Sessions

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Live Online Training (Duration : 32 Hours)
We Offer :
  • 1-on-1 Public - Select your own start date. Other students can be merged.
  • 1-on-1 Private - Select your own start date. You will be the only student in the class.

1650 + If you accept merging of other students. Per Participant & excluding VAT/GST
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Start Time : At any time

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1-On-1 Training is Guaranteed to Run (GTR)
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Course Prerequisites
The course prerequisites for building data solutions using Azure Synapse may vary depending on the specific course and its intended audience, but generally, the following skills and knowledge are recommended:
 
  • Familiarity with database concepts and SQL: Knowledge of database concepts and experience writing SQL queries is essential for working with data in Azure Synapse.
  • Experience with data warehousing: Familiarity with data warehousing concepts and experience working with data warehousing solutions is helpful for understanding how data warehousing works in Azure Synapse.
  • Basic programming skills: Familiarity with at least one programming language, such as Python or Scala, is recommended for working with big data solutions in Azure Synapse.
  • Understanding of cloud computing: Familiarity with cloud computing concepts and experience working with cloud-based solutions is recommended for working with Azure Synapse.
  • Familiarity with big data concepts: Understanding of big data concepts, such as distributed processing and data lakes, is helpful for working with big data solutions in Azure Synapse.

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