BryteFlow Whitepaper on how to build a modern data architecture

How do you get your business insights at scale and delivered productively and fast?

BryteFlow, APN Partner

Learn how BryteFlow’s revolutionary modern data architecture on AWS gets you data in hours not months. For data that is real-time, codeless, trustworthy and complete.

 

BryteFlow: Flip the Data Switch! How AWS and BryteFlow’s modern data architecture gets you data in hours not months.

This whitepaper details BryteFlow’s revolutionary modern data architecture on AWS that gets you data in hours not months. For data that is real-time, codeless, trustworthy and complete.

BryteFlow works in collaboration with AWS to help you build, secure, and seamlessly scale end-to-end big data applications quickly and with ease. There is no hardware to buy, no infrastructure to maintain and scale – you only need to collect, store, process, and analyze your data.

AWS technology and its various service are true game-changers but it may be challenging to keep up with all the innovations that AWS provides. How do you leverage AWS to get the best results possible? How do you maintain best practices and most importantly, how do you get your business insights at scale and delivered productively and fast?

This whitepaper explains how the various AWS services can be used with BryteFlow to deploy and automate the modern data architecture to deliver and accelerate business insights at scale.

BryteFlow drives real-time Data Replication & Integration for Amazon S3, Amazon Redshift and Snowflake, with a self-serve GUI and eliminates the need for expensive Tech hires.

Automate data replication, data merges and data transformation from SAP, Oracle and SQL Server (and other sources) with enterprise class Change Data Capture (CDC), Data Preparation, and Data Lineage. BryteFlow’s one-of-a-kind data reconciliation feature makes sure your data is always verified and complete. Updates are synced continuously with data through smart partitioning so your data remains current and source systems are never impacted, and data is ready to use. Learn more.

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