Systems | Development | Analytics | API | Testing

Why We Built the Lumada DataOps Suite

Why is DataOps important? Without intelligent data operations (DataOps), there can be no digital innovation. Agile data environments improve business operations and enable new customer experiences and new business models. Our customers demonstrate every day the value of their data and how it is critical for digital transformation.

How Data Fabrics Power Industrial IoT

Unlike typical resources companies depend upon to thrive, the amount of data available to enterprises is not finite. With edge technology and smart devices, there is truly no limit to the quantity of useful data companies can and should be using to make better informed decisions. But many businesses unnecessarily limit the variety, quality, and extent of the data at their disposal by not having the right data architecture.

Why We Need the Data Fabric

Computer science loves abstraction, and now, as it turns out, so does data management. Abstraction means reducing something complex to something simpler that elegantly delivers its essence. Applications all over the world become more robust and easier to maintain and evolve when a simple interface is put in front of a complex service. The consumer of the service is able to say: This is a lot simpler than allowing the consumer to reach directly under the hood and mess with the engine.

COVID-19, the Data Deluge and Optimizing Splunk for Time and Cost

The new normal has changed the way we work and the way we conduct business. More and more employees are working from home, customers are shopping online, and everyone’s phone is still attached to their ears. Bottom line: everything we’re doing in business and in our personal lives is leaving a digital trail. In fact, now devices are getting in the game and creating more data than people, 277 times more, according to Cisco.

What's Your Streaming-Data Strategy?

Are you ready to harvest the massive real-time data that your organization generates? You need to master streaming data to  gain an edge in business, in every industry. But, most businesses still rely on batch and incremental processing. If that’s you, don’t despair. Join this session to understand key concepts, common technologies and best practices you need to succeed with streaming  data. You will  also learn about the Hitachi Vantara streaming data stack and how we can help you meet your goals.

Deliver Analytics-Ready Data to the Cloud With Snowflake and Hitachi Vantara

One of the toughest challenges for data professionals today is migrating data from on-premises environments to the cloud. Many companies still lack the tools and infrastructure to ingest and process complex datasets to achieve critical business outcomes. Tune in for a joint-session with Snowflake and Hitachi Vantara as we discuss best practices to address common edge-to-multicloud issues and how our joint offering can dramatically simplify data preparation, migration and analytics tasks to help deliver analytics-ready data in the cloud.