Systems | Development | Analytics | API | Testing

BI

DataOps for the Data-Driven

The road to the data-driven enterprise is not for the faint of heart. The continuous waves of data pounding into ever-complex hybrid environments only compound the ongoing challenges of management, governance, security, skills, and rising costs, to name a few. But Hitachi Vantara has developed a path forward that combines cloud-ready infrastructure, cloud consulting and managed services to optimize applications for resiliency and performance, and automated DataOps innovations.

Hitachi Vantara Launches Lumada Industrial DataOps for IIoT Scalability

Hitachi Vantara today announced the new Lumada Industrial DataOps portfolio with core IIoT platform framework capabilities. With this release, we are making it easier for organizations to take advantage of real-time insights and outcomes that can make critical operations more predictable and manageable. One of the highlights of this release is the introduction of IIoT Core software, which includes digital twins, ML (machine learning) service, and user interface components.

5 Success Stories That Show the Value of Enterprise Public Cloud

In our Five Enterprise Public Cloud Use Cases That Make a Difference eBook, we detail the successes a handful of Cloudera customers have had with CDP. You can download the eBook to get the whole story on each of the five customers and their successes, but in the meantime we want to give you an overview of these success use cases. Use case #1: A biopharmaceutical company doubles its R&D productivity

Using Snowflake to Analyze Unstructured Data

Unstructured data stores a tremendous amount of information, but it is not easy to search, analyze, or query, especially on the fly— presenting more challenges to data architectures that are already complex. In this session, you will learn about Snowflake’s new support for unstructured data and how unstructured data can be used to analyze proprietary replay files for the Dota 2 video game. Dota 2 has a substantial esports presence and its developer hosts the world's largest endowed esports tournament.

Import Google Analytics 4 Data into Snowflake and Translate into SQL

Did you know that Google Analytics 4 now exports event data at the individual user level for free? In this episode of SnowFlake Bytes, Felipe Hoffa, Snowflake’s Data Cloud Advocate, shows you how to move this GA4 data into Snowflake and translate the sample queries into Snowflake SQL. His favorite part of the process? Creating a UDF that transforms the original schema nested data into a variant object that is easier to query.

4 pitfalls in your data strategy (and how to avoid them)

If you’re a data leader at an early-stage or high-growth company, you’re in a unique position to promote data appreciation. Don’t waste your golden window of opportunity. Take this moment to institute best practices, promote good habits, and build the foundation for a data-driven culture. There’s no universal data strategy that would work for all organizations — wouldn’t that be great? — but there are pitfalls that all organizations should watch out for.

What went wrong with customer 360

Three decades into the data revolution, my fellow technologists and I find ourselves asking an existential — and rather distressing — question: What happened to the promise of customer 360? The ability to get more customer data was supposed to fundamentally change the relationship between customers and brands. Companies were going to be able to offer targeted, meaningful engagements that would multiply average deal size and slash time to close.