MS Azure Technical Workshop: Implement a Data Lakehouse Analytics Solution with Azure Databricks
Gain practical cloud data engineering expertise with MS Azure Technical Workshop: Implement a Data Lakehouse Analytics Solution with Azure Databricks covering lakehouse architecture, Azure Databricks, data ingestion, transformation, Delta Lake, data processing, analytics, governance and performance optimization. Develop hands-on skills to implement scalable lakehouse solutions and transform enterprise data into actionable analytics.
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MS Azure Technical Workshop: Implement a Data Lakehouse Analytics Solution with Azure Databricks Course Overview
Master Azure Databricks with the Microsoft Azure Technical Workshop: Implement a Data Lakehouse Analytics Solution by Multisoft Systems. Learn to design, optimize, and implement big data architectures, AI-driven analytics, and data engineering workflows in Azure. Elevate your cloud data management expertise with hands-on training and real-world applications.
The Microsoft Azure Technical Workshop: Implement a Data Lakehouse Analytics Solution with Azure Databricks by Multisoft Systems is designed for data engineers, analysts, and cloud professionals looking to master big data analytics, data lakehouse architecture, and AI-driven insights using Azure Databricks. This hands-on training covers key concepts such as data ingestion, transformation, storage optimization, and real-time analytics using Azure Data Lake, Delta Lake, Apache Spark, and machine learning frameworks. Participants will learn how to design scalable data lakehouse solutions, integrate with Azure Synapse Analytics, optimize ETL workflows, and implement security best practices for enterprise-grade cloud data management. The course provides practical experience in configuring clusters, managing workloads, and leveraging Databricks SQL for business intelligence. Attendees will also explore data governance, compliance, and cost-efficient architecture design in cloud environments.
By the end of this workshop, participants will be able to build robust, high-performance analytics solutions, enabling organizations to harness the full potential of their big data ecosystems. Whether you are preparing for Azure certifications or looking to enhance your cloud data analytics expertise, this workshop equips you with the essential skills needed for modern data engineering in Azure.
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MS Azure Technical Workshop: Implement a Data Lakehouse Analytics Solution with Azure Databricks Course curriculum
Curriculum Designed by Experts
Master Azure Databricks with the Microsoft Azure Technical Workshop: Implement a Data Lakehouse Analytics Solution by Multisoft Systems. Learn to design, optimize, and implement big data architectures, AI-driven analytics, and data engineering workflows in Azure. Elevate your cloud data management expertise with hands-on training and real-world applications.
The Microsoft Azure Technical Workshop: Implement a Data Lakehouse Analytics Solution with Azure Databricks by Multisoft Systems is designed for data engineers, analysts, and cloud professionals looking to master big data analytics, data lakehouse architecture, and AI-driven insights using Azure Databricks. This hands-on training covers key concepts such as data ingestion, transformation, storage optimization, and real-time analytics using Azure Data Lake, Delta Lake, Apache Spark, and machine learning frameworks. Participants will learn how to design scalable data lakehouse solutions, integrate with Azure Synapse Analytics, optimize ETL workflows, and implement security best practices for enterprise-grade cloud data management. The course provides practical experience in configuring clusters, managing workloads, and leveraging Databricks SQL for business intelligence. Attendees will also explore data governance, compliance, and cost-efficient architecture design in cloud environments.
By the end of this workshop, participants will be able to build robust, high-performance analytics solutions, enabling organizations to harness the full potential of their big data ecosystems. Whether you are preparing for Azure certifications or looking to enhance your cloud data analytics expertise, this workshop equips you with the essential skills needed for modern data engineering in Azure.
- Learn the fundamentals of Azure Data Lake, Delta Lake, and Databricks for efficient big data processing.
- Use Azure Databricks, Apache Spark, and ETL pipelines for real-time and batch data processing.
- Leverage Delta Lake for ACID transactions, schema enforcement, and indexing to improve data efficiency.
- Connect Azure Synapse Analytics, Power BI, and Azure Data Factory for end-to-end analytics solutions.
- Implement role-based access control (RBAC), encryption, and monitoring to ensure data privacy and governance.
- Build predictive analytics models using Databricks ML, AutoML, and Python/Scala for AI-driven insights.
- Learn to optimize workloads, scale resources, and automate cluster management for cost efficiency.
Course Prerequisite
- Basic understanding of cloud computing concepts (Azure fundamentals preferred).
- Familiarity with big data technologies such as Apache Spark, Hadoop, or SQL-based analytics.
- Knowledge of database management and data warehousing concepts.
Course Target Audience
- Data Engineers
- Cloud Architects
- AI & Machine Learning Engineers
- Database Administrators
- IT Professionals
- Big Data Developers
- Cloud Security Engineers
- DevOps Engineers
- IT Managers & Decision Makers
- Azure Professionals
- Business Intelligence Consultants
Course Content
- Introduction
- Get started with Azure Databricks
- Identify Azure Databricks workloads
- Understand key concepts
- Data governance using Unity Catalog and Microsoft Purview
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- Introduction
- Ingest data with Azure Databricks
- Data exploration tools in Azure Databricks
- Data analysis using DataFrame APIs
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- Introduction
- Get to know Spark
- Create a Spark cluster
- Use Spark in notebooks
- Use Spark to work with data files
- Visualize data
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- Introduction
- Get started with Delta Lake
- Manage ACID transactions
- Implement schema enforcement
- Data versioning and time travel in Delta Lake
- Data integrity with Delta Lake
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- Introduction
- Explore Delta Live Tables
- Data ingestion and integration
- Real-time processing
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- Introduction
- What are Azure Databricks Workflows?
- Understand key components of Azure Databricks Workflows
- Explore the benefits of Azure Databricks Workflows
- Deploy workloads using Azure Databricks Workflows
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MS Azure Technical Workshop: Implement a Data Lakehouse Analytics Solution with Azure Databricks Training (MCQ) Assessment
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MS Azure Technical Workshop: Implement a Data Lakehouse Analytics Solution with Azure Databricks FAQ's
This workshop is a hands-on training program designed to help professionals learn how to build, optimize, and manage data lakehouse solutions using Azure Databricks, Delta Lake, and Apache Spark. It covers data ingestion, transformation, storage, analytics, and machine learning in Azure.
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