Intro to Distributed Frameworks

Related lectures (32)

Page 3 of 4

Covers the analysis of ECG heart rate data and respiratory flow measurements using Excel.

Covers the analysis of KMnO4 concentrations using data from a CSV file.

Covers data wrangling techniques using Hadoop, focusing on row versus column-oriented databases, popular storage formats, and HBase-Hive integration.

Covers data wrangling techniques using HBase and Hive, focusing on integration and practical applications.

Explores big data challenges, distributed computing with Spark, RDDs, hardware requirements, MapReduce, transformations, and Spark DataFrames.

Explores PCA for data simplification and Spike Sorting for shape identification.

Covers advanced data wrangling techniques using Hadoop, focusing on Hive and HBase integration.

Covers advancements in data analytics systems and the role of hardware-software co-design in enhancing performance in the Post-Moore era.

Covers advanced Excel functions and data analysis techniques, including automatic recording and using Solver.

Covers the integration of scalable data storage and map reduce processing using Hadoop, including HDFS, Hive, Parquet, ORC, Spark, and HBase.