September 17, 2019
ETL vs ELT: What’s the Difference? & How to ChooseData Loading, part of the ETL trinity, is conceptually very easy. Where it gets interesting is - at what point do you do the loading? Pre or Post the Transformation, where data is transformed from one format or structure to…
September 9, 2019
Flexible, More Usable Data through Intelligent Data VirtualizationEnterprises migrating to the cloud must go beyond simply “lifting and shifting” data into the cloud and embrace an approach that fundamentally transforms how data will be used. AtScale enables the four important capabilities of intelligent data virtualization: Brings all…
August 7, 2019
Five Areas Where Intelligent Data Virtualization Gives Retailers a Competitive EdgeToo many retailers are held back by their IT infrastructure, with key operational data scattered across fragmented systems. These silos and a lack of shared organizational insight put retailers’ competitive edge against both online and brick-and-mortar shops at great risk.…
August 5, 2019
Supercharge your DataOps: CIO and CDO unite to create a shared data intellectEmbracing DataOps DataOps seeks to realize the insight-driven business by creating better ways to develop and deliver analytics across organizations. DataOps emphasizes interactions, working analytics, customer collaboration, experimentation and cross-functional ownership over tools, documentation, contracts, upfront design and siloed responsibilities…
August 2, 2019
Cloud Data Warehouse Modeling: Traditional vs. NewWhat is a Cloud Data Warehouse? A cloud data warehouse is a database delivered in a public cloud as a managed service that is optimized for analytics, scale and ease of use. Cloud native data warehouses like Snowflake, Google BigQuery,…
July 18, 2019
Interactive, Large Volume AI/ML Queries At Scale And Without Data Movement for Self-Service Analytics EmpowermentAtScale’s 2019.2 product release introduces a time-series and time-relative analysis capability for large volumes of data across disparate databases and platforms. This enables data analyst and data science teams to easily access large volumes of time-series data and quickly query…
July 11, 2019
DATA VIRTUALIZATION VS. DATA WAREHOUSE*Editor’s note: This is an update to the "Why You Need An Advanced Analytics Fabric " post we published a while back. This update expands on the challenges of a traditional data warehouse and outlines the 10 requirements of intelligent data…
June 24, 2019
Why AtScale Wins in the Cloud Data Platform EcosystemTechnology is risky. I understand risk. It was risky starting a company. It was risky for our amazing investors to invest in us. Risk is part of life and cannot be avoided because with risk comes the potential for reward.…
June 19, 2019
Can the Cloud Rescue Retail?The retail category is in a ride-or-die situation when it comes to the cloud. Many retailers, under pressure from Amazon and the growth of eCommerce, have already gone out-of-business. In fact, more than 7,000 brick-and-mortar locations have closed so far…
June 13, 2019
Real-Time Data: Satisfying the Need for Speed in BIBetter Business Intelligence performance for faster time to insights Business Intelligence (BI) and Multidimensional Analytics (MA) transform how enterprises make decisions by delivering insights across the entire business, including sales, marketing, human resources, and other critical operations. These insights are…
