KTU S5 Big Data Analytics Notes
S5 B.Tech (AI & DS) • Course Code: PBADT504 • Direct PDF Download
Introduction to Big Data & HDFS
Covers the 5 Vs of Big Data, RDBMS vs. Hadoop, Hadoop Ecosystem (YARN, Sqoop, Flume), HDFS architecture (NameNode & DataNode), blocks, CLI operations, anatomy of file read/write, and Hadoop file formats (Avro, Sequence, RC, ORC, Parquet, MapFile).
Download PDFData Processing with MapReduce
Detailed notes on MapReduce architecture, execution pipeline components (Driver, InputSplit, RecordReader, Combiner, Partitioner), JobTracker & TaskTracker coordination, Map-side vs. Reduce-side joins, and design examples (Face Recognition, Inverted Index, Road Enrichment, Link Elevation).
Download PDFHBase & Mining Data Streams
Explores HBase architecture (HMaster, RegionServer, MemStore, WAL, HFile, ZooKeeper), operations, and schema design, alongside Data Stream Management Systems (DSMS), stream filtering, Reservoir & Bernoulli sampling, and counting distinct elements (Flajolet-Martin & HyperLogLog algorithms).
Download PDFApache Hive, Pig, and Spark
Comprehensive guide to Hive architecture, data types, HiveQL, partitioning, and bucketing; Apache Pig execution modes, data models (Atom, Tuple, Bag, Map), Pig Latin operators, and UDFs; plus Apache Spark stack, architecture, RDD basics, lazy evaluation, and transformations.
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