NoSQL Databases

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Related lectures (36)

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

NoSQL Databases: Origins and Types MOOC: Geographical Information Systems 1

Covers the origins and types of NoSQL databases, focusing on MongoDB and CRUD operations.

Data Wrangling with Hive: Managing Big Data Efficiently

Covers data wrangling techniques using Apache Hive for efficient big data management.

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.

Relational Databases: Fundamentals and ACID Properties MOOC: Geographical Information Systems 1

Covers relational databases, transactions, and data consistency in the context of historical database typologies.

Data, big data, clouds and IoT

Explores data representation, databases, cloud computing, and challenges in the cloud environment.

Data: Clouds and Things

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

Stockage et transmission des données 1: introduction; besoin de structure

Discusses the importance of structuring data for efficient storage and retrieval.

Relational Databases: Fundamentals MOOC: Geographical Information Systems 1

Covers relational and spatial databases, including storage, management systems, ACID properties, historical typologies, primary and foreign keys, and spatial functions.

Data modeling: Geographic Information Systems MOOC: Geographical Information Systems 1

Introduces data modeling in the context of Geographic Information Systems, covering the added value and methods used.

Data Modeling: Concepts and Applications

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

Hydrology Modeling: Routing System

Covers the modeling of hydrological systems, focusing on the retention of floods and the example of the Routing System.

NoSQL Databases: Overview MOOC: Geographical Information Systems 1

Explores the world of NoSQL databases and MongoDB's key features.

Data Storage and Transmission: Metadata for Disks

Explores the importance of metadata in organizing media libraries and the challenges in retrieving specific works or artists efficiently.

DDL, DML, Views MOOC: Geographical Information Systems 1

Covers SQL data definition, manipulation, and views in databases.

Querying a database: the SQL language MOOC: Geographical Information Systems 1

Covers the SQL language for interacting with databases through structured queries, including selecting, filtering, aggregating, and sorting data.

Handling Data: Intro to Pandas

Introduces the fundamentals of handling data, emphasizing the importance of Pandas and data modeling for effective analysis.

Data Modeling: Concepts and Applications

Explores data modeling concepts, SQL implementations, and practical applications in handling missing data.

Storage of geographic information MOOC: Geographical Information Systems 1

Covers the storage of geographic information using vector and grid formats, coordinate reference systems, and image formats.

Modeling Hydrological Systems: Routing and Flood Retention

Discusses modeling hydrological systems, focusing on routing and flood retention using a new database.

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