Covers geographic information storage challenges, data types, methods, and formats, emphasizing structured data and centralizing data access.
Covers data wrangling techniques using Hadoop, focusing on row versus column-oriented databases, popular storage formats, and HBase-Hive integration.
Covers the fundamentals of database systems, including data modeling, information processing, and the challenges of managing large volumes of data.
Covers data science tools, Hadoop, Spark, data lake ecosystems, CAP theorem, batch vs. stream processing, HDFS, Hive, Parquet, ORC, and MapReduce architecture.
