Oracle to Snowflake – ETL Your Data in Minutes with Lyftrondata

What's Oracle

Oracle has embedded innovative technologies in every aspect of our cloud, enabling companies to reimagine their businesses, processes, and experiences.

With the introduction of Oracle Autonomous Database, the industry’s only self-driving, self-securing, and self-repairing database, Oracle is again revolutionizing how data is managed.

What's Lyftrondata

Lyftrondata is a modern data platform that provides real-time access to any data and enables users to query them with simple ANSI SQL. With Lyftrondata, enterprises can build data pipelines in minutes and shorten the time to insights by 75% with modern cloud computing such as Snowflake and Spark .

Lyftrondata and Snowflake

Lyftrondata enables real-time streaming and bulk loading on Snowflake & accelerates data movement with the power of Spark compute. Lyftrondata platform accelerates Snowflake migration from Google, Facebook, Twitter, Hadoop, Teradata, Oracle & more and makes the data instantly available on Looker, Power BI, Tableau, Microstrategy, Jupyter Notebook, etc.

Lyftrondata eliminates the time engineers spend building Snowflake data pipelines manually and makes 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 the data catalog.

Why Lyftrondata

We will enable your business to make data-driven decisions by:

Empowering

Your business with cost-effective, scalable data solutions.

Enabling

There is no need to write complicated rest services, JSON, or XML parsing tasks anymore. Lyftrondata handles all of these; it transforms any data into a relational format and enables basic ANSI SQL querying.

Eliminating

Manual data pipeline complexity so you can access your data easily.

Shorten

Shorten time to insights and cut data management process by 75%.

Pre-built connectors

Automatically deliver data to warehouses in normalized schemas.

Modern governed data lake

Lyftrondata enables data governance with a data catalog , data model, data definition, data lineage, tagging, and enterprise data dictionary search.

How we do it

Integrate any data source

Connect to supported data sources in the Marketing Cloud and import metadata. Register essential data sets in the catalog and begin real-time analytics.

Transform with SQL

Transform or filter the data using SQL, which is translated to source data. Combine the data with other data sources.

Migrate to a modern database

Automatically convert data types from data sources to match the target database types. A columnar data pipeline will load the data without delays.

Query with SQL in Real-Time

Not all data sources must be replicated in a data warehouse to be usable for analytics. Use SQL for any data source and also query data in real time.

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 Reasons for Considering Agile Modern Data Delivery Platforms in Business Intelligence and How to Combine Them with Other Data Sources.

Accelerate BI by Prototyping

Shorten BI projects by 4x with a simple trick. Start by virtually defining each necessary data set. Build the dashboards on real-time data, consult with business users, and replicate the data only when required.