Facebook data warehouse

  • How is Facebook storing data?

    All that data is stored in what is known as the Hive, which contains about 300 petabytes of data.
    This enormous amount of content generation is without a doubt connected to the fact that Facebook users spend more time on the site than users spend on any other social network, putting in about an hour a day..

  • Is Facebook a data warehouse?

    Example of data warehousing that everyone can relate to is what Facebook does.
    Facebook gathers all of your data – your friends, your likes, and so on – and then stores that data into one central repository..

  • What data storage does Facebook use?

    Facebook Statistics on Data and Usage.
    Facebook generates 4 petabytes of data per day—that's a million gigabytes.
    All that data is stored in what is known as the Hive, which contains about 300 petabytes of data..

  • Data mining is the massive collection of users' data, which is analyzed to find patterns.
    Corporations like Amazon, Google, and Facebook use the analyses to make more sales by selling this data to companies, who then throw ads in your direction in hopes of you clicking on it and buying their products.
  • Networks and connections.
    We collect information about the people, accounts, hashtags and Facebook groups, and Pages you are connected to and how you interact with them across our Products, such as people you communicate with the most or groups you are part of.
  • The Architecture of Facebook's Big Data platform
    Facebook uses Hadoop HDFS Architecture.
    Facebook collects data from two sources: User data is stored in the federated MySQL layer, and web servers produce event-based log data.
    Web server data is gathered and sent to Scribe servers, which run in Hadoop clusters.
Hive is Facebook's data warehouse, with 300 petabytes of data in 800,000 tables. Facebook generates 4 new petabyes of data and runs 600,000 queries and 1 million map-reduce jobs per day. Presto, HiveQL, Hadoop, and Giraph are the common query engines over Hive.
With over 1B active users, Facebook has one of the largest data warehouses in the world, storing more than 300 petabytes. The data is used for a wide range of applications, from traditional batch processing to graph analytics, machine learning, and real-time interactive analytics.

How does Facebook analyze data?

Mr

Rudin says, “The analytic process at Facebook begins with a 300 petabyte data analysis warehouse

To answer a specific query, data is often pulled out of the warehouse and placed into a table so that it can be studied

The team also built a search engine that indexes data in the warehouse


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