File Organization: Storage and Cache Management

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File Systems: Organization and Indexing Techniques

Discusses file systems, focusing on data organization, indexing techniques, and their impact on database performance.

File Organization & Indexing

Explores file organization, indexing methods, and alternative page formats for efficient data access.

Data Wrangling with Hadoop

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

File System Abstraction: Understanding Files and Directories

Explains the file system abstraction, focusing on files, directories, and their management within a computer system.

Storage Technologies: Memory Hierarchy and Disk Storage

Explores memory hierarchy, CPU caches, SSD, HDD, and disk storage anatomy.

Input/Output in C++ (basics)

Covers the basics of input/output operations in C++, including interacting with the world through keyboard/screen inputs, file operations, and formatting input/output data.

Big Data Best Practices and Guidelines

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

General Introduction to Big Data

Covers data science tools, Hadoop, Spark, data lake ecosystems, CAP theorem, batch vs. stream processing, HDFS, Hive, Parquet, ORC, and MapReduce architecture.

Introduction to Database Systems

Covers the fundamentals of database systems, including data modeling, information processing, and the challenges of managing large volumes of data.

NoSQL Databases

Covers the origins, properties, and types of NoSQL databases, focusing on MongoDB and the CAP theorem.