The world is rich with publicly available data sets that can provide immense value to businesses, in areas as diverse as economics, health, agriculture and transportation. But the data is highly fragmented, stored in different formats and databases around the world, making it very hard for businesses to consume and monetize.
Snowflake met with Mark Stange-Tregear, Vice President of Analytics for Rakuten Rewards, and Andrew Parry, Vice President of IT Application Development for Office Depot, at Data Cloud Summit 2020. The Data Cloud is unlocking new ways of delivering products and services to customers, managing supply chains, and collaborating globally. Rakuten Rewards and Office Depot are going “all- in” on the Snowflake Data Cloud to transform their businesses. Q. How does data affect your business?
One of the highly anticipated events every year is the keynote from Dr. Werner Vogels at the annual AWS Reinvent conference. As CTO of Amazon, Dr. Vogels has considerable influence on product and engineering innovation that directly impacts hundreds of millions of users and developers. Here are three takeaways from Dr. Vogels’ keynote this year.
Despite the challenges COVID-19 brought to the world this year, Qlik continued to innovate – integrating new capabilities directly to our core offerings in the areas of alerting, augmented analytics and conversational analytics. We also continued to enhance our solutions in the direction of making data less passive and more active, and made key acquisitions like Knarr Analytics and Blendr.io, continuing our journey of delivering a true end-to-end solution that enables Active Intelligence.
Despite the challenges COVID-19 brought to the world this year, Qlik continued to innovate – integrating new capabilities directly to our core offerings in the areas of alerting, augmented analytics and conversational analytics. We also continued to enhance our solutions in the direction of making data less passive and more active, and made key acquisitions like Knarr Analytics and Blendr.io, continuing our journey of delivering a true end-to-end solution that enables Active Intelligence.
When running any performance benchmarking tool on your cluster, a critical decision is always what data set size should be used for a performance test, and here we demonstrate why it is important to select a “good fit” data set size when running a HBase performance test on your cluster.
Unravel Data recently held its first-ever customer conference, Untold 2020. We promoted Untold 2020 as a convocation of #datalovers. And these #datalovers generated some valuable data – including the interesting fact that more than 60% of surveyed customers have SLAs for either “more than 50% of their pipelines” (42%) or “all of their pipelines” (21%). All of this ties together.
From rice genomes to historical hurricane data, Google Cloud Public Datasets offer a world of exploration and insight. The more than 20 PB across 200+ datasets in our Public Dataset Program helps you explore big data and data analytics without a lot of cost, setup, or overhead. You can explore up to 1 TB per month at no cost, and you don’t even need a billing account to start using BigQuery sandbox.
When it comes to machine learning (ML) in the enterprise, there are many misconceptions about what it actually takes to effectively employ machine learning models and scale AI use cases. When many businesses start their journey into ML and AI, it’s common to place a lot of energy and focus on the coding and data science algorithms themselves.
With any transformation in industry or marketplace, there are leaders and losers. The winners know the fundamental pillars that are hidden to some and evident to others that drive and enable success.
