Concept

Apache Cassandra

Related lectures (25)
Data Wrangling with Hadoop
Covers data wrangling techniques using Hadoop, focusing on row versus column-oriented databases, popular storage formats, and HBase-Hive integration.
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.
Distributed Transactions: Replication Strategies
Explores replication strategies for fault tolerance, load balancing, and eventual consistency in distributed transactions.
Eventual Consistency: NoSQL, CAP Theorem, and BASE
Explores NoSQL databases, CAP theorem, BASE principles, and eventual consistency in distributed systems.
Distributed Transactions: Architectures and Protocols
Explores parallel database architectures and distributed transaction protocols, focusing on coordination, concurrency control, and recovery challenges.
Eventual Consistency: Actors and Data Structures
Explores eventual consistency, actors in Scala, and the importance of suitable data structures for achieving consistency in distributed systems.
Distributed Transactions: Consistency Spectrum
Explores the spectrum of consistency in distributed transactions, from strong to eventual consistency, and the trade-offs involved.
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.
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.

Graph Chatbot

Chat with Graph Search

Ask any question about EPFL courses, lectures, exercises, research, news, etc. or try the example questions below.

DISCLAIMER: The Graph Chatbot is not programmed to provide explicit or categorical answers to your questions. Rather, it transforms your questions into API requests that are distributed across the various IT services officially administered by EPFL. Its purpose is solely to collect and recommend relevant references to content that you can explore to help you answer your questions.