Bringing multi-cloud analytics to your data with BigQuery Omni

Today, we are introducing BigQuery Omni, a flexible, multi-cloud analytics solution that lets you cost-effectively access and securely analyze data across Google Cloud, Amazon Web Services (AWS), and Azure (coming soon), without leaving the familiar BigQuery user interface (UI). Using standard SQL and the same BigQuery APIs our customers love, you will be able to break down data silos and gain critical business insights from a single pane of glass.

Reach New Speeds and Unlock Unstructured Data Value

Unstructured data is the biggest untapped source of value in your organization, and we can help unlock that value. Since 80% of data is unstructured and growing at an exponential rate, just having BIG data isn’t good enough. You need big data FAST in order to make more accurate and timely decisions. Hitachi Vantara can deliver your data at the speed of business with faster data access to maximize your infrastructure advantage for accuracy, productivity, competitive edge and better outcomes.

Building an effective data approach in a hybrid cloud world

“In today’s world of disruption and transformation, there are a few key things that all organizations are trying to figure out: how to remain relevant to their customer base, how to deal with the pressure of disruption in their industry and, undoubtedly, how to look to technology to help deliver a better service.” Paul Mackay Today we are sitting down with Marc Beierschoder, Analytics & Cognitive Offering Lead at Deloitte Germany and Paul Mackay, the EMEA Cloud Lead at Cloudera to dis


Agile Insights During COVID-19 with ThoughtSpot, Snowflake, and Starschema

The COVID-19 pandemic is forcing every business to see the world differently. From examining business continuity plans, modernizing workforce plans, or building supply chain resiliency, no facet of business has gone untouched. As organizations combat the economic fallout now and in the coming years, agility has never been more important. The key to remaining agile is a better use of data.


CDP Private Cloud ends the battle between agility & control in the data center

As a BI Analyst, have you ever encountered a dashboard that wouldn’t refresh because other teams were using it? As a data scientist, have you ever had to wait 6 months before you could access the latest version of Spark? As an application architect, have you ever been asked to wait 12 weeks before you could get hardware to onboard a new application?

How To Get Your DataOps Initiative Prioritized And Paid For

You see the clear and immediate value in DataOps, but your opinion is not the only one that matters. You need  your team, your colleagues and your business partners to see that value too – or the project  won’t move ahead. In this  session, you'll learn the tips and techniques for building an inclusive story.  We'll discuss techniques of Design Thinking you can use to translate very technical concepts into business value and outcomes. You will  learn  practical ways to communicate the value in your DataOps initiative and ensure that it delivers that value when you  Implement it.

A Dose Of Data Science Demystification

Join two data engineers and analysts in pulling back the curtain on real customer engagements, showing how to select and implement advanced data science and analytic techniques. In this session we will discuss our implementation of two data science models at a large agricultural products manufacturer: a propensity-to-buy model and a recommendation engine. We will discuss how each of these models works and how they were implemented for our client.

Make Your Data Fabrics Work Better

To gain the full benefits of the DataOps strategy, your data lakes must change. The traditional concept of bringing all data to one place, whether on-premises or in the cloud, raises questions of timing, scale, organization and budget. The answer? Data fabric. It replaces traditional data lake organization concepts with a more flexible and economical architecture. In this session, we'll define what a data fabric is, show you how you can begin organizing around the concept, and discuss how to align it to your business objectives.