Course

Modern Big Data Analysis with SQL

Cloudera

This Specialization in Modern Big Data Analysis with SQL offers comprehensive training in querying big data using SQL. Whether you are new to SQL or have experience with relational databases, this course equips you with the skills to work with large-scale data in distributed clusters and cloud storage.

The course covers foundations for big data analysis, including distinguishing operational from analytic databases and understanding database and table design for working with data. You will learn the basics of SELECT statements, filtering results, grouping, aggregation, sorting, and limiting results. Additionally, you will gain proficiency in using different tools to explore databases and tables, browse files in distributed big data filesystems and cloud storage, and create and manage big data databases and tables using Apache Hive and Apache Impala.

Upon completion of this Specialization, you will be prepared for the Cloudera Certified Associate (CCA) Data Analyst certification exam, which requires hands-on practical experience with Hive and Impala.

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Modern Big Data Analysis with SQL
Course Modules

Acquire skills in big data analysis with SQL, covering foundational concepts, SELECT statements, data management in clusters and cloud storage, and preparation for the Cloudera Certified Associate Data Analyst exam.

Foundations for Big Data Analysis with SQL

Distinguish operational from analytic databases and understand database and table design for working with data.

  • Appreciate how differences in volume and variety of data affect the choice of an appropriate database system.
  • Recognize the features and benefits of SQL dialects designed to work with big data systems for storage and analysis.

Analyzing Big Data with SQL

Gain proficiency in using SELECT statements, filtering results, grouping, aggregation, sorting, and limiting results to answer analytic questions.

Managing Big Data in Clusters and Cloud Storage

Learn to use different tools to browse existing databases and tables, explore files in distributed big data filesystems and cloud storage, and create and manage big data databases and tables using Apache Hive and Apache Impala.

  • Describe and choose among different data types and file formats for big data systems.
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