Data Engineering
Showing 817–828 of 829 results
Winning Friends and Influencing People for Successful Data Governance
To be successful at Data Governance you need to invest a lot of effort in managing and influencing stakeholders in your organisation at all levels. In this session, Nicola will share tips to help you be successful in your Data Governance initiative.
Work with Data Warehouses using Azure Synapse Analytics
Relational data warehouses are at the heart of many business intelligence and enterprise analytics solutions. You can use Azure Synapse Analytics to implement highly scalable data warehouses in the cloud.
Work with Hybrid Transactional and Analytical Processing Solutions using Azure Synapse Analytics
Hybrid Transactional and Analytical Processing (HTAP) is a technique for near real time analytics without a complex ETL solution. In Azure Synapse Analytics, HTAP is supported through Azure Synapse Link.
Work with MySQL Databases on Azure
Azure Database for MySQL is a fully managed database platform. In this learning path you'll find out how to manage and optimize Azure Database for MySQL. After completing this learning path, you'll be able to:
Working with Azure Databricks Programmatically
To carry out large-scale operations on Databricks, you'll need to develop apps or scripts which can interact with this big data service. This course looks into the Databricks CLI, its REST API, and the dbutils library to automate such interactions.
Working with Collections in Oracle PL/SQL
In this course, we will take an in-depth look at the collection types available in PL/SQL, namely Associative Arrays, Varrays, and Nested Tables. We'll also talk about the bulk fetch and collect features which greatly enhance the performance our PL/SQL code.
Working with Data in PowerShell
PowerShell is versatile and can work with common data structures such as JSON, XML, and CSV. PowerShell also provides cmdlets for interacting with web endpoints natively. This course will teach you the fundamentals of working with data in PowerShell.
Working with Databases in IBM Cloudant
Explore how to work with IBM Cloudant, a fully managed NoSQL database. Learn to store, retrieve, and manage JSON data, perform queries, and optimize operations for scalable, cloud-based applications.
Working with Hierarchies in SQL Server
In this course, you will learn to work with hierarchical data in SQL Server using hierarchyid. You will master techniques to create, query, optimize, and traverse hierarchies efficiently.
Writing and Deploying Puppet 2019 Modules
Nothing beats the experience of writing your own Puppet modules from scratch. In this course, you will learn how to setup Puppet Enterprise, use the Puppet console, write simple RSpec tests, and deploy your modules to the Forge.
Writing Complex Analytical Queries with Hive
Hive is a data warehouse that runs on top of the Hadoop distributed computing framework. It works on huge datasets, so this course is useful for understanding its features so you can write efficient, fast, and optimal queries.
Writing Efficient Code with pandas
Learn efficient techniques in pandas to optimize your Python code.