Build practical big data storage, distributed SQL, and cloud data warehousing skills using Apache Impala, Apache HBase, and Azure Synapse Analytics. Learn to transform large-scale data into reliable, analysis-ready insights across Hadoop and Azure environments.
This Specialization develops end-to-end capabilities for querying, storing, managing, and analyzing enterprise data. You will use Apache Impala SQL to create databases, explore metadata, perform aggregations, execute advanced joins, validate query logic, and troubleshoot analytical workflows. You will then work with Apache HBase to understand column-oriented storage, configure its Hadoop architecture, manage column families, and perform administrative and data operations through the HBase shell.
The final course focuses on designing and building a cloud data warehouse with Azure Synapse Analytics. You will explore workspace provisioning, data integration, performance optimization, security, Apache Spark analytics, and Power BI visualization. By completing the sequence, you will be prepared to select appropriate data technologies and build scalable solutions for data engineering, database administration, business intelligence, and analytics use cases.
Applied Learning Project
Learners will complete practical projects involving large-scale data analysis, column-oriented storage, and cloud data warehousing. They will write and validate Impala SQL queries, manage HBase tables and column families, and design an Azure Synapse data warehouse to solve realistic enterprise data storage, processing, performance, and reporting challenges.
