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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.

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.

New Snowflake Features Released in February 2022

February brought a number of exciting enhancements, especially for customers building and running data pipelines in Snowflake, including support for Snowpark stored procedures and flexible task execution. Additionally, customers get improved impact analysis through support for object dependencies, and we continue to expand Snowflake’s global reach with the regional availability of UAE North (Dubai) on Azure. Read on for more!

New Features in Cloudera Streams Messaging for CDP Public Cloud 7.2.14

With the launch of CDP Public Cloud 7.2.14, Cloudera Streams Messaging for Data Hub deployments has gotten some powerful new features! In this release, the Streams Messaging templates in Data Hub will come with Apache Kafka 2.8 and Cruise Control 2.5 providing new core features and fixes. KConnect has been added and gains additional capabilities with new connectors and Stateless Apache NiFi capabilities which can run NiFi Flows as connectors.

OKR 101: An introduction to data-driven planning objectives and key results (OKRs)

OKRs have taken corporate planning by storm — and for good reason. As a system for organization-wide goal-setting, OKRs make executive KPIs tangible and actionable, not just for the leaders, but for everyone in the company. They have become increasingly common in all types of businesses because they are simple and effective. For the company’s data champion, they also offer an unparalleled opportunity to get everyone speaking a common language of metrics.

How Spanner and BigQuery work together to handle transactional and analytical workloads

As businesses scale to meet the demands of their customers, so do their need for efficient products to collect, manage and analyze data to meet their business goals. Whether you are building a multi-player game or a global e-commerce platform, it's critical to ensure that data can be stored and queried at scale with strong consistency and then processed for analysis to deliver real-time insights.