Comma separated files are used for the interchange of database information between machines of two different architectures. The plain-text character of CSV files largely avoids incompatibilities such as byte-order and word size. The files are largely human-readable, so it is easier to deal with them in the absence of perfect documentation or communication
Lyftrondata is a modern data platform that provides real-time access to any data and enabling users to query them with simple ANSI SQL. With Lyftrondata 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.
Lyftrondata and Snowflake
Lyftrondata enables realtime streaming and bulk loading on Snowflake & accelerate data movement with the power of Spark compute. Lyftrondata platform accelerate Snowflake migration from Netezza, Hadoop, Teradata, Oracle and more and make the data instantly available on Looker, Power BI, Tableau, Microstrategy, Jupyter Notebook etc.
Lyftrondata eliminate the time spent by engineers building Snowflake data pipelines manually – and make data instantly accessible to analysts by providing real-time access to all your data with simple ANSI SQL.
Lyftrondata prebuilt connectors automatically deliver data to Snowflake warehouses in normalized, ready-to-query schemas and provide full search on data catalog.
Lyftrondata is the fuel of your data success, Try Lyftrondata today for Snowflake migration
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
Lyftrondata 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 CSV 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.