Managing Big Data in Clusters and Cloud Storage
This course is part of Modern Big Data Analysis with SQL Specialization.
This course cannot be purchased separately - to access the complete learning experience, graded assignments, and earn certificates, you'll need to enroll in the full Modern Big Data Analysis with SQL Specialization program. You can audit this specific course for free to explore the content, which includes access to course materials and lectures. This allows you to learn at your own pace without any financial commitment.
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What you'll learn
Browse and manage databases in big data systems
Explore files in distributed filesystems and cloud storage
Create and manage big data databases using Apache Hive and Impala
Choose appropriate data types and file formats
Optimize database performance and query execution
Skills you'll gain
This course includes:
2.8 Hours PreRecorded video
9 assignments
Access on Mobile, Tablet, Desktop
FullTime access
Shareable certificate
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There are 5 modules in this course
This comprehensive course focuses on managing and analyzing big data in cluster environments and cloud storage systems. Students learn to work with distributed SQL engines like Apache Hive and Apache Impala, understand different data types and file formats, and manage databases in cloud environments. The course covers practical aspects of data management, including creating and managing tables, choosing appropriate data types, and optimizing query performance.
Orientation to Data in Clusters and Cloud Storage
Module 1 · 2 Hours to complete
Defining Databases, Tables, and Columns
Module 2 · 5 Hours to complete
Data Types and File Types
Module 3 · 2 Hours to complete
Managing Datasets in Clusters and Cloud Storage
Module 4 · 5 Hours to complete
Optimizing Hive and Impala (Honors)
Module 5 · 5 Hours to complete
Fee Structure
Individual course purchase is not available - to enroll in this course with a certificate, you need to purchase the complete Professional Certificate Course. For enrollment and detailed fee structure, visit the following: Modern Big Data Analysis with SQL Specialization
Instructors
Staff Curriculum Developer and Data Science Expert
Ian Cook is a Staff Curriculum Developer at Cloudera, where he leverages his deep expertise in data science and statistics to create impactful learning materials. Ian has authored several R packages and has held data scientist roles at TIBCO Software and Advanced Micro Devices. In addition to his work at Cloudera, he is the cofounder of Research Triangle Analysts, the largest data science meetup group in Raleigh, North Carolina. Ian holds a master’s degree in statistics from Lehigh University. His extensive background in data science and his commitment to education are reflected in his courses, including Analyzing Big Data with SQL and Managing Big Data in Clusters and Cloud Storage, where he helps learners develop the skills to analyze and manage large-scale data effectively.
Senior Instructor and Expert in Big Data and Database Technologies
Glynn Durham, a Louisiana native, earned his Master’s Degree in Computer Science from Louisiana State University, where he studied under Peter Chen, the creator of entity-relationship modeling, a key method for relational database design. Glynn’s career has been largely dedicated to teaching technical subjects, with over five years of experience each at Oracle, MySQL, Sun Microsystems, and Cloudera. As a Senior Instructor, he brings a wealth of practical and theoretical knowledge to his students, specializing in big data and database technologies. His courses, Foundations for Big Data Analysis with SQL and Managing Big Data in Clusters and Cloud Storage, provide learners with essential skills to handle and analyze large datasets in modern data environments. Glynn’s extensive industry experience and instructional expertise make him a valuable educator in the field of data management.
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Frequently asked questions
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