MemSQL, provider of the fast real-time data warehouse, announced the general availability of MemSQL Cloud. With this release, MemSQL now allows customers to use the managed service on either Amazon Web Services or Microsoft Azure with a unified architecture for transactional, analytical, and streaming data warehouse workloads.
New Survey Says Cloud-based Data Warehousing Solutions Transforming Market
Panoply.io, the self optimizing analytics infrastructure company, announced results from its survey at AWS re:Invent end of 2016. 833 attendees shared feedback about data warehouse trends, where 80% of the tools are now cloud-based versus on-premise. 60% of respondents found their data warehouse difficult to manage and too complex. Interestingly, 61% of respondents were currently not using any ETL tool at all, 25% using no business intelligence tools at all.
Data Warehouse Trends Report 2017
Amazon re:Invent is always a rewarding experience, providing not only opportunities to demonstrate Panoply’s automated data warehouse solutions to thousands of IT professionals, but also to gather feedback from industry professionals, as a means to gauge cloud-industry trends and understand the market’s most pressing needs. In that spirit, the company conducted a survey during our […]
SAP Modernizes Data Warehousing with the Launch of SAP® BW/4HANA
SAP SE (NYSE: SAP) unveiled SAP® BW/4HANA, a next-generation data warehouse application for running a real-time digital enterprise.
Data Warehouses Ascend to the Cloud
Should the data warehouse be deployed on the cloud? IDC addresses this question on a regular basis. As adoption of cloud software increases, organizations of all sizes across industries and geographic regions are evaluating and assessing the opportunities and challenges of deploying software on the cloud. Data warehousing solutions are no exception to this trend.
How Viacom Built a Just-in-Time Data Warehouse
In the video presentation below from Spark Summit East 2016 conference, Viacom, the global media company, explains how they are using Apache Spark and Databricks to quickly adapt to their audience by building a just-in-time data warehouse.
Network Attached Storage: EMC Isilon
EMC® Isilon® scale-out network-attached storage (NAS) is a simple and scalable platform to build a scale-out data lake and persist enterprise files of all sizes that scale from terabytes to petabytes in a single cluster. It enables you to consolidate storage silos, improve storage utilization, reduce costs, while providing you a future proofed platform to run today and tomorrow’s workloads.
Cask Hydrator: Self Service Data Lakes on Hadoop
The Cask Hydrator empowers organizations to blend, transform, and analyze data across multiple sources to create an on-demand analytical view across key customer interactions. This provides powerful insights into buyers, brand performance, products, and services.
Snowflake Data Warehouse Insight
Today’s data, and how that data is used, have changed dramatically in the past few years. Data now comes from everywhere—not just enterprise applications, but also websites, log files, social media, sensors, web services, and more. Organizations want to make that data available to all of their analysts as quickly as possible, not limit access […]
The Elastic Data Warehouses
Data and the way that data is used have changed, but data warehousing has not. Today’s premises-based data warehouses are based on technology that is, at its core, two decades old. To meet the demands and opportunities of today, data warehouses have to fundamentally change.