Facebook is developed as one monolithic application. Facebook used a combination platform based on HBase to store data across distributed machines. Using a tailing architecture, events are stored in log files, and the logs are tailed. The system rolls these events up and writes them to storage. The user interface then pulls the data out and displays it to users. Facebook handles requests as AJAX behavior.
Lyftron is a modern data platform that provides real-time access to any data and enabling users to query them with simple ANSI SQL. With Lyftron enterprises can build data pipeline in minutes and shorten the time to insights by 75% with the power of modern cloud compute of Snowflake and Spark.
Lyftron and Snowflake
Lyftron is the fuel of your data success, Try Lyftron today for Snowflake migration
Our Facebook to Snowflake Migration Solution Brief
How we do it
Integrate any data source
Connect to supported data source Marketing Cloud and import metadata. Register essential data sets in the catalog and begin real-time analytics.
Query with SQL in Real-Time
Not all data sources must be replicated to a data warehouse to be usable for analytics. Use SQL for any data source and also query data in real-time.
Transform with SQL
Transform or filter the data using SQL that is translated to source data. Combine the data with other data sources.
Use any BI Tool
Lyftron fully simulates SQL Server on the wire so you can use standard SQL Server drivers available in all BI tools and query Load data from Facebook to Snowﬂake in minutes or combine it with other data sources.
Migrate to modern database
Automatically convert data types from data source to match the target database types. A columnar data pipeline will load the data without delays.
Accelerate BI by Prototyping
Shorten BI projects by 4x with a simple trick. First define all required data sets virtually. Build the dashboards on real-time data, consult with business users and replicate the data only when required.