Systems | Development | Analytics | API | Testing

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The Data Modernization Imperative. The Emergence of Kafka & the Growing Role of DataOps - Session 3

Featuring: Matt Aslett, Research Director, Data, AI and Analytics, 451 Research The Kafka skills shortage Matt Aslett, Research Director, 451 Research shares the challenges created by the wide-scale adoption of #ApacheKafka. In many cases, Kafka is a victim of its own success. Listen in on strategies of how organizations building applications on #Kafka can scale their teams in spite of a skills shortage

Anodot Tutorial: Monitoring AWS Usage with Machine Learning

A 3-minute guide to help you start monitoring your AWS usage on Anodot's machine learning platform. Once it's up and running, Anodot will continuously monitor your AWS usage and deliver real-time alerts when there's an anomalous spike or drop. This powerful capability enables you to act quickly, far before costs get out of hand.

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.

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

Top Benefits of Data-Driven Test Automation

According to Wikipedia, Data-Driven Testing(DDT) is a software testing methodology that is used in the testing of computer software to describe testing done using a table of conditions directly as test inputs and verifiable outputs as well as the process where test environment settings and control are not hard-coded. In the simplest form, the tester supplies the inputs from a row in the table and expects the outputs which occur in the same row.

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.

How to work with attachments

If you need to work with an attachment – create or send one – there are several connectors that support that. Don’t be confused by what you see now, Simple Trigger is not one of them, but I’m using it here to send some information along the flow. Now what I’m really looking for is the CSV connector, and here I’m using it to create – or, in fact, write a CSV file as an attachment.

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.