The phrase “knowledge is power” was written by Sir Francis Bacon in 1597* long before “Big Data” was a part of anyone’s vocabulary. We all know that when data is analyzed properly, we can make well informed decisions. But, how do we know that we’ve got the right data in the right place at the right time so that we can gain the right knowledge from it?
We need to be able to take data from a variety of sources and move it in real-time so that people across the organization make decisions based on it. Typically, organizations have worked a data warehouse which is an application with a computer database that collects, integrates and stores an organization’s data with the aim of providing accurate, timely management of information and support for analysis techniques, such as data mining. The data warehouse can be on premises or more recently in the cloud.
“The trends for moving enterprise data into a cloud-based data warehouse are undeniable,” says James Kobielus, Lead Analyst at SiliconANGLE Wikibon. “Cloud-based solutions have become users’ preferred approach for acquiring data warehouse capabilities that offer on-demand, pay-as-you-go accessibility in a platform that is fully managed, multitenant, storage-efficient, and robust.”
Attunity + Snowflake = Real-time Data in a Cloud Data Warehouse
As a pioneer in data availability, Attunity supports many styles of big data integration across the industry’s broadest array of platforms. Working with our technology partner Snowflake, Attunity Replicate moves real-time data from a wide range of databases, data warehouses, SAP, legacy mainframe systems and other sources, on premises or in the cloud, to the Snowflake built-for-the-cloud data warehouse with zero downtime.
Want to turn your data into knowledge? Join Attunity, Snowflake, and Wikibon as we explain what you need to know about why, where, and how companies are diving into data warehousing in the cloud. We’ll help you decide if a cloud data warehouse should be in your future, how top companies started using the cloud for analytics and:
- Key criteria to use to decide if a cloud data warehouse should be in your future
- How to decide which use cases and projects to deploy on a cloud data warehouse
- Need-to-know considerations for deployment, migration, and operations when moving to the cloud
- Examples of how top companies started using the cloud for analytics