Data Wrangling with Hadoop: Storage Formats and Hive
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Description
This lecture covers data wrangling techniques with Hadoop, focusing on storage formats like ORC, Parquet, and HBase. It also delves into Hive, explaining its role as a big data warehouse for relational queries on large datasets.
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Covers data science tools, Hadoop, Spark, data lake ecosystems, CAP theorem, batch vs. stream processing, HDFS, Hive, Parquet, ORC, and MapReduce architecture.
