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Related lectures (32)
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Big Data Best Practices and Guidelines
Covers best practices and guidelines for big data, including data lakes, architecture, challenges, and technologies like Hadoop and Hive.
Gitlab Agent for Kubernetes (`agentk`)
Covers the setup of a Gitlab agent for Kubernetes, focusing on installation, version control, and troubleshooting.
General Introduction to Big Data
Covers data science tools, Hadoop, Spark, data lake ecosystems, CAP theorem, batch vs. stream processing, HDFS, Hive, Parquet, ORC, and MapReduce architecture.
Real-time Intelligence: Data Challenges and Hardware Evolution
Explores data challenges and hardware evolution for real-time intelligence in the era of big data.
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Data Wrangling with Hadoop: Storage Formats and Hive
Explores data wrangling with Hadoop, emphasizing storage formats and Hive for big data processing.
Introduction to Database Systems
Covers the fundamentals of database systems, including data modeling, information processing, and the challenges of managing large volumes of data.
Data: Clouds and Things
Covers the fundamentals of data, cloud storage, and the Internet of Things.
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Distributed Storage Challenges
Explores challenges in distributed storage, covering organization, availability, scalability, and access control.
