Organizations are increasingly dependent on different types of data to make successful business decisions. But as the volume, rate, and types of data expand and become less predictable, conventional data warehouses cannot consume all this data effectively. Big data solutions like Hadoop increase the complexity of the environment and generally lack the performance of traditional data warehouses. See how Snowflake cloud-native data warehouse meets these challenges and helps in transforming data for business decision making.
Home » Data Warehousing Modernization » Transforming Business Decision Making with a Cloud-Native Data Warehouse
Other content in this Stream
Webinar: Libérez vos données SAP sur le Data Warehouse de Snowflake avec Attunity
Les plus grandes entreprises du monde stockent leurs données sur Oracle, DB2, SQL et exécutent leurs opérations commerciales critiques sur des infrastructures SAP. Ces organisations ont besoin que leu
Moving the Enterprise Analytical Database – A Guide For Enterprises: Strategies And Options To Modernizing Data Architecture and the Data Wa
Webinar: Strategies and Options to Consider When Modernizing Data Architecture
This 1-hour Gigaom Research webinar will present the findings of a recently completed report on moving enterprise databases written by Gigaom analyst William McKnight, “A Guide for Enterprises: Strate
Customer Panel: Snowflake vs. Re-engineering an on-premises data warehouse
CapSpecialty, OnDeck Capital, and PennyMac discuss using Snowflake's cloud data warehouse solution over re-engineering their on-premises data warehouse at the Snowflake Cloud Analytics Fintech Summit
Let History Halve Your Next Data Analytics Purchase
If you’re lucky, you’ll spend just six to 12 months considering and buying your next enterprise software solution. If it’s a seven-figure purchase, plan for an additional six to 12 months to...
Webinar: Top Trends for Moving Your Data to the Data Warehouse in the Cloud
Hosted by Attunity, Snowflake, and Wikibon on-demand webinar explains what you need to know about why, where, and how companies are diving into data warehousing on the cloud.
The Past, Present and Future of Data Warehousing
A Cloud Data Warehouse Buyer’s Guide
Watch our webinar–A Cloud Data Warehouse Buyer’s Guide. During this interview-style presentation, William McKnight will join Snowflake Vice President of Products, Jon Bock, for an in-depth discussion
How to Convert JSON to SQL
One of the key reasons I joined Snowflake is its built-in support to load and query semi-structured data such as JSON. In most conventional data warehouse and Big Data environments, you have to...
How to Analyze JSON with SQL
3 Ways a Data Sharehouse™ Can Catapult Your Data-Driven Initiatives
How would your organization benefit from effortlessly sharing limitless amounts of data with business partners and commercializing that data to share with other organizations? With most data...
EMA - Requirements for Cloud Data Warehousing
Springserve: Elastic, Seamless Scaling Results in Cost Savings
Learn how Springserve, the fastest growing video ad serving company in North America that processes 2 million reporting events per second benefits from access to fast and reliable data with Snowflake.
The State of the Data Warehouse
Snowflake Data Sharing
Improving the ROI of Your Data Warehouse
Extreme Availability: Delivering a Resilient Data Warehouse Service
TDWI Checklist Report: Using and Choosing a Cloud Solution for Data Warehousing
TDWI Best Practices Report: Emerging Technologies for Business Intelligence, Analytics and Data Warehousing
TDWI Best Practices Report: BI, Analytics and Cloud Strategies