JDBC to Snowflake
Lyft, Shift and Load from JDBC to Snowflake. In this page we are covering that how Lyftron enables enterprises to eliminate the complexity of data loading from JDBC to Snowflake with simplicity in three easy steps
Java Database Connectivity is an application programming interface for the programming language Java, which defines how a client may access a database. It is a Java-based data access technology used for Java database connectivity. It is part of the Java Standard Edition platform, from Oracle Corporation.
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.
Snowflake is a cloud-based data warehouse implemented as a managed service. It runs on the Amazon Web Services architecture using EC2 and S3 instances. Snowflake is designed to be fast, flexible, and easy to work with. For instance, for query processing, Snowflake creates virtual warehouses that run on separate compute clusters, so querying one virtual warehouse doesn’t slow down the others.
Lyftron and Snowflake
Lyftron enables realtime streaming and bulk loading on Snowflake & accelerate data movement with the power of Spark compute. Lyftron platform accelerate Snowflake migration from Netezza, Hadoop, Teradata, Oracle and more and make the data instantly available on Looker, Power BI, Tableau, Microstrategy etc.
Lyftron 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.
Lyftron prebuilt connectors automatically deliver data to Snowflake warehouses in normalized, ready-to-query schemas and provide full search on data catalog.
How we do it
Bulk loading to Snowflake
Lyftron enables bulk loading and realtime streaming to load the data into Snowflake in just few clicks. Just create the connection, create the database and then Lyftron automatically create the data pipeline to load the data into Snowflake.
Lyftron allows data replication based on timestamp and source field selection. You can choose the incremental or full load and schedule the job. Lyftron will ensure that your source data is sync with snowflake
Handling Sensitive Data
Lyftron empowers enterprises to do data masking and encryption at the field level and you can control the security as well.
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.
Transform with SQL
Transform or filter the data using SQL that is translated to source data. Combine the data with other data sources.
Migration to JDBC may not be possible in one step. Connect legacy data warehouses as data sources and use the SQL Interface to access data from all data warehouses, also not migrated yet.
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.
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 Amazon advertising to Snowflake in minutes or combine it with other data sources.
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.