With integrated scheduling and data lineage, Fivetran now enables data orchestration from a single platform with minimal configuration and code.

Modern businesses have vast amounts of data at their fingertips and are acutely aware of how enterprise data strategies positively impact business outcomes. Despite this, only a handful of organisations interact with all stages of the data life cycle process to truly distill information that distinguishes future-ready businesses from the rest.

Today’s enterprise IT organizations are experiencing a massive upheaval due to pressure from employee forces. It’s a familiar story. Just think of the turmoil caused by the dawning of the bring-your-own-device (BYOD) era, with employees demanding to use their beloved personal mobile phones for work.

Hitachi Vantara’s latest improvements to Pentaho make it significantly easier for organizations to move data workloads from on premises to the cloud and back again. The new Pentaho 9.3 Long-Term Support (LTS), part of Hitachi’s Lumada portfolio, offers a cloud deployment option that we anticipate will be a critical accelerant of data-driven transformation.

Our Five Key Points: When you start an e-commerce business, you know that you’ll need some top-level digital services to get your products and services online and in front of the right audience. Not every online store is as big as Amazon, but with effective tools, you can still make waves. How do you pick the right apps and SaaS or PaaS to make your online business as profitable as possible?

48 experts share how to create a project management report that keeps you on top of your projects without feeling overwhelmed.

The skyrocketing value of data has created a global supply and demand for data, data applications, and data services. This new data economy is powered by technologies that enable data access and sharing, including cloud platforms, exchanges, and marketplaces.

In the exponentially growing data warehousing space, it is very important to capture, process and analyze the metadata and metrics of the jobs/queries for the purposes of auditing, tracking, performance tuning, capacity planning, etc. Historically, on-premise (on-prem) legacy data warehouse solutions have mature methods of collecting and reporting performance insights via query log reports, workload repositories etc. However all of this comes with an overhead of cost-storage & cpu.