Advanced Certificate SQL Data Transition: Streamlined Processes
-- ViewingNowThe Advanced Certificate SQL Data Transition: Streamlined Processes is a comprehensive course designed to equip learners with essential skills for managing and manipulating data using SQL. This course is critical in today's data-driven world, where the ability to extract insights from data is a highly sought-after skill.
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⢠Advanced SQL Queries: This unit will cover complex SQL queries, subqueries, and joins to help students efficiently extract and manipulate data from large databases.
⢠Data Migration: Students will learn best practices for planning and executing data migration, including data validation, backup, and recovery strategies.
⢠ETL (Extract, Transform, Load) Processes: This unit will focus on using ETL tools and techniques to streamline data integration and transformation processes.
⢠Data Warehousing: Students will explore data warehousing concepts, including dimensional modeling, fact and dimension tables, and star and snowflake schemas.
⢠Data Modeling and Design: This unit will cover advanced data modeling techniques and best practices for designing relational databases, including normalization and denormalization.
⢠Data Quality Management: Students will learn to assess and improve data quality, including data profiling, data cleansing, and data validation.
⢠Data Security and Compliance: This unit will cover data security best practices, including encryption, access controls, and compliance with regulations such as GDPR and HIPAA.
⢠Big Data Transition: Students will learn how to transition from traditional SQL databases to big data platforms, including Hadoop and Spark.
⢠Cloud Data Transition: This unit will focus on migrating data to cloud-based platforms, including AWS, Azure, and Google Cloud.
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