Bridge the Cloud Divide with Pure Storage Cloud Data Services

BytesTechnology

Pure Storage have recently launched their Cloud Data Services - a new set of capabilities allowing you to easily embrace a hybrid cloud architecture and ditch the cloud divide. Where once private and public cloud data storage operated in separate worlds, Pure’s Cloud Data Services now bring on-premises functionality to the cloud. Plainly put, all the features, benefits, and advantages of running Pure FlashArray in your datacentre, will soon be available in AWS – with zero compromise.
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Spotlight

In the era of big data, enterprise data warehouse (EDW) technology continues to evolve as vendors focus on innovation and advanced features around in-memory, compression, security, and tighter integration with hadoop, NosQl, and cloud. Forrester identified the 10 most significant EDW software and services providers — Actian, Amazon Web services (AWs), hewlett packard Enterprise (hpE), iBM, Microsoft, oracle, pivotal software, sAp, snowflake computing, and teradata — in the category and researched, analyzed, and scored them. this report details our findings about how well each vendor fulfils our criteria and where they stand in relation to each other to help enterprise architect professionals select the right solution to support their data warehouse platform.

OTHER ON-DEMAND WEBINARS

How to Use Data Prep to Accelerate Cloud Data Lake Adoption

tdwi

What began as a trickle is now the mainstream: Organizations are moving to the cloud for data management. No longer is the cloud just a cheaper place to park data; it is key to supporting business-critical innovation in advanced analytics, data science, and AI as well as for end-user business intelligence, data exploration, and data visualization. Data lakes and data warehouses running on market-leading platforms such as AWS are growing fast, just as they are on the platforms of competing providers. However, as cloud-based workloads grow in number and size, organizations are facing difficult data preparation challenges. The flow of data raw, diverse, and frequently unstructured can quickly turn cloud data lakes into impenetrable swamps. Without good data preparation technologies and practices, users of all types are frustrated; their productivity and satisfaction suffer because it’s too hard to get accurate data that’s appropriately transformed and structured for their purposes.
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Why is a Central Analytics Team Vital to a Self-Service Data Culture?

When your teams are building products for competitive markets and demanding customers, the right insights can make all the difference. Join us for this month’s Coffee Chat webinar to learn how you help your whole organization make better decisions, take faster action—and deliver the kind of experiences that drive revenue, loyalty, and lifetime value.
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Modern Data Analytics in the Cloud: Achieving an End-to-End Strategy

TDWI

Businesses today need fast, scalable, and agile data and analytics, and cloud-based solutions are proving critical to satisfying these requirements. They enable organizations to rapidly and easily spin up systems and services for collecting, managing, and analyzing data. More important, cloud-based solutions deliver value from “data gravity”the surging volumes of new data created in the cloud by social media, the IoT, multichannel customer behavior, and other activity.
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Strategies for Transitioning to a Cloud-First Enterprise

McKnight Consulting Group

A great comfort with cloud deployment has emerged. Businesses are migrating databases to the cloud or building databases there as a result of scale challenges with the on-premises model, the cloud becoming the “center of gravity”, on-premises databases reaching capacity or emerging uses cases that are specific to the cloud. But not all organizations! And some struggle mightily with the move!Learn about the factors that impact organizations when shifting data and applications to the cloud. What must you consider as you move significant applications and data to the cloud? This webinar will cover the major decision points that management needs to consider when moving to the cloud. These include changes to the software model, development and quality assurance, recovery outage, and disaster recovery as well as new concerns about query performance and service levels, data interchange in the cloud, safe harbor and cross-border restrictions, and security and privacy.
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Spotlight

In the era of big data, enterprise data warehouse (EDW) technology continues to evolve as vendors focus on innovation and advanced features around in-memory, compression, security, and tighter integration with hadoop, NosQl, and cloud. Forrester identified the 10 most significant EDW software and services providers — Actian, Amazon Web services (AWs), hewlett packard Enterprise (hpE), iBM, Microsoft, oracle, pivotal software, sAp, snowflake computing, and teradata — in the category and researched, analyzed, and scored them. this report details our findings about how well each vendor fulfils our criteria and where they stand in relation to each other to help enterprise architect professionals select the right solution to support their data warehouse platform.

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