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Learn Hadoop, earn certificates with free online courses from Stanford, Johns Hopkins, UC San Diego, Duke and other top universities around the world. Read reviews to decide if a class is right for you.
Explore MapReduce and YARN in Apache Hadoop 2.0, covering architecture, limitations, and improvements. Learn to configure and run applications in YARN for efficient big data processing.
Get up to speed with Hadoop. Learn tips and tricks for doing data science work in this popular big data platform.
Big data is becoming part of every company, soon maybe every team, and Hadoop is the core technology for storing and accessing massive amounts of data.
Learn how to manage and analyse big data using the R programming language and Hadoop programming framework.
Develop essential data analyst skills as you delve into the Hadoop ecosystem and learn how to handle large amounts of data.
Simplified approach to Hadoop ecosystem: architecture, HDFS, MapReduce, YARN, security, and practical examples. Includes Google Cloud integration for hands-on experience.
Learn Big Data and Hadoop essentials, including HDFS, MapReduce, YARN, Hive, and HBase. Explore career paths, architecture, and practical problem-solving in Hadoop ecosystems.
Explore music data analysis with Hadoop, covering post-analysis, lookup tables, data filtering, enrichment, and in-depth analysis techniques for big data applications.
Explore e-commerce data analysis using Hadoop, covering table creation, data validation, and rule checking for actionable insights in big data environments.
Explore banking data analysis with Hadoop, covering data integration, table creation, content analysis, and archival in this comprehensive big data case study.
Comprehensive introduction to Big Data technologies, covering HDFS, MapReduce, Hive, Pig, Spark, NoSQL, HBase, Sqoop, Flume, and Kafka. Ideal for beginners seeking a solid foundation in Hadoop ecosystem.
Learn to deploy Hadoop, configure HDFS, and execute MapReduce jobs through hands-on activities, enabling you to store and analyze massive datasets efficiently.
Learn to control Hadoop jobs with Oozie, including workflow coding, scheduling, and using a graphical editor for simplified XML generation. Gain skills in MapReduce, YARN, and Hadoop 2 implementation.
Learn Apache Hadoop basics, architecture, administration, and ecosystem components. Explore MapReduce, HDFS, and related projects like Pig, Hive, and Sqoop for efficient big data processing and management.
The ecosystem of data science tools based on the Hadoop and NoSQL stack is a crucial and growing part of the future of the industry. Data engineers need a broad knowledge of the components of this platform, and this learning path enables learners to dig…
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