Databricks is a cloud-based data engineering tool used to process and transform large amounts of data and explore the data through machine learning models. It combines data warehouses & data lakes into a lakehouse architecture.
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Expérience recommandée
Ce que vous apprendrez
Learn to integrate AWS with Databricks.
Learn Data Lineage, Databricks Tags and Data Catalog in Databricks.
Learn to implement RBAC (Role-Based Access Control) in Databricks.
Compétences que vous acquerrez
- Catégorie : AWS Glue
- Catégorie : Amazon Redshift
- Catégorie : Data Warehouse
- Catégorie : Databricks
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Il y a 4 modules dans ce cours
Welcome to Week 1 of Data Governance with Databricks course. This week, you will learn about Introduction to Databricks on AWS. Additionally, you will learn about the benefits and features of Databricks and AWS Integration.
Inclus
9 vidéos3 lectures3 devoirs1 sujet de discussion
This week, we learn Data Classification Techniques including Data Lineage and Impact Analysis and Metadata Management and Data Catalogs. We will also learn about the Data Profiling and Quality Assessment, Data Cleansing Techniques and implement Data Cleansing Pipelines in Databricks.
Inclus
8 vidéos1 lecture3 devoirs
This week, we will learn about RBAC, Data Access Control Models and Data security policies in Databricks. We will also learn how to implement RBAC in Databricks, and Data Security Best practices.
Inclus
10 vidéos1 lecture3 devoirs
This week, we will learn about Data Governance in Data Pipelines including Data Lineage in Data Pipelines, ETL/ELT processes, Data Versiong and Change Data Capture. We will also about Data Governance Best Practices and Tools including Continuous Improvement of Data Governance Processes and implementation and applying best practices in Data goverance.
Inclus
14 vidéos3 lectures3 devoirs
Instructeur
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Advancing Women in Tech
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