Systems | Development | Analytics | API | Testing

5 Ways to Slash your Data Platform Costs

Make your data platform faster, better & cheaper with Unravel by joining Chris Santiago, Director of Solution Engineering to learn how to reduce the time troubleshooting and the costs involved in operating your data platform. Instantly understand why technologies such as Spark applications, Kafka jobs, and Impala underperform or even fail! Define and meet enterprise service levels through proactive reporting and alerting.

Top Takeaways From CDO Sessions: Customers and Thought Leaders

We’ve been busy speaking to our customers and thought leaders in the industry and have rounded up the key takeaways from our latest CDO sessions. Here are some of the top takeaways and advice gained from these sessions with big data leaders, Kumar Menon from Equifax, Anheuser-Busch’s Harinder Singh, Sandeep Uttamchandani from Unravel, and DBS Bank’s Matteo Pelati.

CDO Sessions: Getting Real with Data Analytics

Big data leaders are no doubt being challenged with market uncertainty. Data-driven insights can help organizations assess, and uncover market risk and opportunities that may arise during uncertain times. As businesses around the world adapt to digitization initiatives, modern data systems have become more mission critical toward continuity and competitive differentiation.

Amazon EMR Insider Series: Optimizing big data costs with Amazon EMR & Unravel

Data is a core part of every business. As data volumes increase so do costs of processing it. Whether you are running your Apache Spark, Hive, or Presto workloads on-premise or on AWS, Amazon EMR is a sure way to save you money. In this session, we’ll discuss several best practices and new features that enable you to cut your operating costs and save money when processing vast amounts of data using Amazon EMR.

Unravel Now Supporting Databricks on Amazon Web Services

Since the very beginning, Unravel Data has made it a mission to ensure customers are successful, wherever they deploy their modern data platforms. On-premises, in the cloud, and in hybrid environments, Unravel supports the full stack of data processing engines to provide data operations visibility wherever it resides.

Now Is the Time to Take Stock in Your Dataops Readiness: Are Your Systems Ready?

As the global business climate is experiencing rapid change due to the health crisis, the role of data to provide much needed solutions to urgent issues are being highlighted throughout the world. Helping customers manage critical modern data systems for years, Unravel sees a heightened interest in fortifying the reliability of business operations in healthcare, logistics, financial services and telecommunications.

Supermarkets Optimizing Supply Chains with Unravel DataOps

Retailers are using big data to report on consumer demand, inventory availability, and supply chain performance in real time. Big data provides a convenient, easy way for retail organizations to quickly ingest petabytes of data and apply machine learning techniques for efficiently moving consumer goods. A top supermarket retailer has recently used Unravel to monitor its vast trove of customer data to stock the right product for the right customer, at the right time.