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

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Related lectures (32)

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Data Wrangling with Hive: Managing Big Data Efficiently

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

Data Analysis to AI and ML, Social Media

Explores the evolution from data analysis to AI and ML, emphasizing big data, machine learning, and social media interaction.

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.

Data, big data, clouds and IoT

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

Data Wrangling with Hadoop

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

Introduction to Database Systems

Covers the basics of database systems, including data modeling, DBMS, data independence, and the course overview.

Storage Management in SmartDataLake

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

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.

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.

Introduction to Database Systems

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