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Related lectures (32)

Page 2 of 4

Covers best practices and guidelines for big data, including data lakes, architecture, challenges, and technologies like Hadoop and Hive.

Excel Data Analysis and Forecasting

Covers the basics of Excel data analysis and forecasting techniques.

Data Wrangling with Hadoop

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

Query Operators: Joins and Query Processing Techniques

Discusses advanced query operators, focusing on join techniques and their processing methods in relational databases.

Accelerating Data Analytics: Innovations in Post-Moore Era

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

Reservoirs and Dams: Hydraulic Construction and Sizing

Explores sizing reservoirs and dams using cumulative flow curves and tank dimensioning for dry and rainy periods.

Hashing and Sorting

Covers hashing, sorting, extendible hashing, linear hashing, and external sorting.

Storage Management in SmartDataLake

Explores storage management challenges in transitioning to data lakes, addressing software and hardware heterogeneity, unified storage design, and performance optimization.

Introduction to Data Science

Introduces the basics of data science, covering decision trees, machine learning advancements, and deep reinforcement learning.

Fixing Serverless Computing with Open-Source Hardware

Explores challenges and solutions in serverless computing, focusing on energy usage, cloud utilization, FaaS architecture, and performance analysis.