Training: Implementing a Data Analytics Solution with Azure Synapse Analytics (DP-3012)

Ref. DP-3012

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Duration:

1

day

Exam:

Optional

Level:

Intermediate

Funding:

Eligible

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Implementing a Data Analytics Solution with Azure Synapse Analytics (DP-3012)

Complete Training on Azure Synapse Analytics: “Implementing a Data Analytics Solution with Azure Synapse Analytics (DP-3012)“. Whether you are a beginner or an experienced professional in the field of data analysis, this training will guide you through the various applications and features of Azure Synapse to transform data into actionable insights.

Learn how to query files in a data lake with the serverless SQL pool, analyze data with Apache Spark, and optimize data workflows with Delta Lake in our detailed modules. You will also learn how to design data warehouse schemas and build efficient data pipelines in Azure Synapse Analytics. Join the course ‘Implementing a Data Analytics Solution with Azure Synapse Analytics (DP-3012)’ to master these essential skills and propel your career in the field of Big Data and data analytics.

Participant Profiles

Administrators
Data specialists

Objectives

Provide a complete understanding of Azure Synapse Analytics
Teach the use of serverless and dedicated SQL pools
Train on data analysis with Apache Spark
Integrate Delta Lake for advanced data management
Design and implement a relational data warehouse
Build and execute data pipelines

Prerequisites

Familiarity with notebooks using various languages and a Spark engine
Experience with SQL and Python
Skills in Azure tools, including Data Factory

Course Content

Module 1 – Introduction to Azure Synapse Analytics

What is Azure Synapse Analytics
How Azure Synapse Analytics works
When to use Azure Synapse Analytics

Module 2 – Using Azure Synapse’s serverless SQL pool to query files in a data lake

Understand the capabilities and use cases of the serverless SQL pool in Azure Synapse
Query files using a serverless SQL pool
Create external database objects

Module 3 – Analyzing data with Apache Spark in Azure Synapse Analytics

Get acquainted with Apache Spark
Use Spark in Azure Synapse Analytics
Analyze data with Spark
Visualize data with Spark

Module 4 – Using Delta Lake in Azure Synapse Analytics

Understand Delta Lake
Create Delta Lake tables
Create catalog tables
Use Delta Lake with streaming data
Use Delta Lake in a SQL pool

Module 5 – Analyzing data in a relational data warehouse

Design a data warehouse schema
Create data warehouse tables
Load data warehouse tables
Query a data warehouse

Module 6 – Building a data pipeline in Azure Synapse Analytics

Understand pipelines in Azure Synapse Analytics
Create a pipeline in Azure Synapse Studio
Define data flows
Execute a pipeline

Documentation

Digital course material included

Complementary Courses

Eligible Funding

ITTA is a partner of a continuing education fund dedicated to temporary workers. This fund can subsidize your training, provided that you are subject to the “Service Provision” collective labor agreement (CCT) and meet certain conditions, including having worked at least 88 hours in the past 12 months.

Additional Information

Introduction to Azure Synapse Analytics with our course Implementing a Data Analytics Solution with Azure Synapse Analytics (DP-3012)

Azure Synapse Analytics is presented as an integrated solution for data management and big data analytics, designed to accelerate data-driven decision-making. This service offers a unified platform to explore, prepare, manage, and serve data for business intelligence applications and machine learning. Advanced data processing features, like dedicated and serverless SQL pools and Spark integration with Synapse Pipelines, make Azure Synapse Analytics ideal for businesses looking to optimize their data operations.

Querying Data with Serverless SQL

A major innovation in Azure Synapse Analytics is its ability to query data stored in a data lake via a serverless SQL pool. This feature allows users to run SQL queries on large volumes of unstructured data without requiring infrastructure management, thus offering flexibility and efficiency for data analysis.

Advanced Analysis with Apache Spark

Azure Synapse Analytics integrates Apache Spark, enabling advanced data analysis and interactive visualization. This integration allows users to process large volumes of data with Spark, thereby facilitating complex analysis and data visualization for deeper insights.

Delta Lake and Real-Time Data Management

Adopting Delta Lake within Azure Synapse Analytics enhances data management with features like Delta Lake tables, essential for real-time data processing and data consistency in complex analytics environments.

Designing Data Warehouse Solutions

The ability to design data warehouse schemas and load data warehouse tables is crucial for effective analysis. Azure Synapse Analytics provides tools for designing data warehouse solutions, thus enabling efficient querying and data-driven decision-making.

Data Pipeline and Automation

Building data pipelines in Azure Synapse Analytics through Synapse Studio enables organizations to automate data processing and flow. These pipelines support the orchestration of data analysis tasks, making processes more efficient and reducing implementation times.

Azure Synapse Analytics, with its advanced data analysis tools such as serverless SQL pools, Apache Spark, and Delta Lake, as well as data pipeline building capabilities, offers a comprehensive solution for the analytical challenges of modern businesses. Its compatibility with other Azure tools and various programming languages makes it accessible to a wide range of users, from data scientists to business analysts.