How to Consolidate and Migrate a Data Warehouse and Data Lake to the Cloud
For years, Chesapeake Energy struggled with an on-premises data warehouse and an open-source data lake that hampered its analytics and data science initiatives. The multi-billion dollar energy explora
Data Warehouse or Data Lake? How You Can Have Both in a Single Platform
Data is one of the most critical assets that an organization owns. Almost every organization builds a data architecture to store, prepare, manage, and analyze its data. Conventional thinking tends to
Webinar: How to Couple Your Data Warehouse and Data Lake with Guest: Forrester
Nearly 60% of North American enterprises rely on public cloud platforms.* How do these digitally transformative companies deliver business growth with massive amounts of data from new data streams? Jo
To thrive in today’s world of data, you must know how to manage and derive value from semi-structured data such as JSON to deliver valuable insight to your organization. If you’re an experienced data
Build a True Data Lake with a Cloud Data Warehouse
The right data lake platform is the modern cloud data warehouse integrated with a modern data management solution to equip your company with unfathomable levels of new insight.
I’ve been in many conversations about using a “data lake” as a new component in a big data solution. The idea is to take raw data and land it in a system (often Hadoop and HDFS) where it can be...
Rue La La: Personalizing Marketing Through Data Driven Decisions with Snowflake
Hear Erick Roesch, Director of BI & Data Warehouse share why the popular flash sale site with nearly 18 million members replaced its legacy data warehouse and Hadoop data lake with Snowflake to merge
Read this eBook to see how modern cloud data warehousing presents a dramatically simpler but more power approach than both Hadoop and traditional on-premises or “cloud-washed” data warehouse solutions
Data Innovation Summit: A Cloud 'Lakehouse' In The heart Of A Lean Analytics Function
Snowflake customer VR Group presents their use case at the Data Innovation Summit in Stockholm, Sweden.
Ramping up a team and building a data & analytics platform from scratch can lead to a large exp
Hadoop created high hopes more than a decade ago. Why? Because traditional data warehouses couldn’t cope with the massive increases in data and the new data types generated from enterprise websites, m
It's true, Snowflake is a relational data warehouse. But with enhanced capabilities for semi-structured data - along with unlimited storage and compute - many organizations are replacing their data wa
TDWI Best Practices Report: Data Science and Big Data: Enterprise Paths to Success
Big data and data science can provide a significant path to value for organizations. These technologies, methodologies and skills can help organizations gain additional insight about customers and ops
A cloud data warehouse that truly takes advantage of modern cloud architecture can increase BI performance by up to 200x for a tenth of the cost of legacy data warehouse systems located on-premises or
Learn how gaming company DoubleDown Interactive was able to make their data pipeline faster and more reliable while reducing costs by 80% by using the Snowflake Elastic Data Warehouse.
Times are changing. When you want to build a data lake, you don’t have to compromise having an enterprise data warehouse too. Learn how in our solution brief.
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