NoSQL Databases: Origins and Types

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Data: Clouds and Things

Covers the fundamentals of data, cloud storage, and the Internet of Things.

Relational Query Optimization

Covers relational query optimization, including logical and physical query plans, cost estimation, equivalences, and the System R strategy.

Knowledge Representation: Semantics and Data Structures

Explores knowledge representation, data structures, semantics, and the challenges of searching for data on the web.

Graph Processing: Oracle Labs Insights

Explores the ubiquity of graphs in modern data and analytics, focusing on the shift in organizations' perception of graph technologies.

Data Management: Overview

Introduces fundamental concepts of data management, including data models, databases, and key tasks.

Data Modeling: Concepts and Applications

Introduces data modeling concepts, SQL usage, and Pandas library applications for efficient data processing.

Relational vs NoSQL: Evolution and Comparison

Explores the historical debate between relational and non-relational data models, covering key characteristics and examples of each.

Data Wrangling with Hadoop: Storage Formats and Hive

Explores data wrangling with Hadoop, emphasizing storage formats and Hive for big data processing.

Block-oriented Execution: Query Processing in Database Systems

Explores block-oriented query processing in databases, emphasizing materialization challenges and optimized execution for data-intensive applications.

Integrating Scalable Data Storage and Map Reduce Processing with Hadoop

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