ON DEMAND WEBINAR
How Horizon Power got a 360 degree view of their data with BryteFlow and AWS in just 1 month. Learn how to:
- Continuously replicate data from any database to a data lake
- Enable data engineers to start delivering data-driven outcomes
- Automate aggregation of data for faster outcomes
View the Bryteflow videos to get an idea of its awesome capabilities.
Most of the videos use SQL Server as a connector but amost any other connector can be used instead – SAP, Oracle etc.
See how BryteFlow functions to optimize enterprise data management on the AWS ecosystem.
BryteFlow Ingest – Data To Dashboard
Replicate SQL Server data in real-time with zero impact on source (Change Data Capture) and minimal privileges on SQL Server (no admin access required).
BryteFlow Blend – Data To Dashboard
Use BryteFlow Blend to prepare your data assets in real-time from the replicated data. Integrate with Amazon Athena and create a dashboard to get data in minutes.
Ingest S3 Partition Athena Dashboard
Replicate data real-time to Amazon S3, and create partitions for high performance access, with a few clicks, Then interface with Amazon Athena to view the data on dashboard.
Ingest S3 Redshift Spectrum Dashboard
Replicate your large table data to S3 in Parquet format and use it to join with tables on Redshift so that you don’t blow out your budgets on your data warehouse. Then visualize it in dashboards.
Ingest S3 Python Redshift Dashboard
Replicate data to Amazon S3 and Redshift at the same time. Use the data on S3 for data science use cases and use data on Redshift for businesss intelligence reporting and analytics.
Ingest S3 Schema On Read Star Schema
Use BryteFlow Ingest to get your data to Amazon S3 in real-time and create a star schema that you can view in your dashboards.
BryteFlow SAP Data Lake
Liberate your SAP data with BryteFlow for Analytics and ML. Join with other data sources to get valuable insights.
Ingest Oracle S3
Replicate Oracle data to Amazon S3 and view the data as you would in your dashboards, SQL Workbench or for adhoc queries.