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Unravel Joins AWS Partner Network Global Startup Program

At Unravel, we have been working with AWS for some time to help our joint customers simplify data migrations to the cloud. Announced at AWS re:Invent, we are proud to be partnering with AWS on the newly created AWS Partner Network Global Startup Program. Unravel provides detailed insights and recommendations to help enterprises of all sizes slice and dice application workloads to ensure an effective cloud migration strategy.

Top 10 Bank Leverages Unravel's AIOps capabilities to tame fraud detection and compliance app performance failures

Unsurprisingly, Modern data apps have become crucial across all areas of the financial industry, with apps for fraud detection, claims processing and compliance amongst others playing a business critical role. Unravel has been deployed by several of the world’s largest financial services organizations to ensure these critical apps perform reliably at all times.

Doing more with Data and evolving to DataOps

As technology evolves at a rapid pace, the healthcare industry is transforming quickly along with it. Tech breakthroughs like IoT, advanced imaging, genomics mapping, artificial intelligence and machine learning are some of the key items re-shaping the space. The result is better patient care and health outcomes.

The Role of Data Operations During Cloud Migrations

Over the last few years, there has been a mad rush within enterprise organizations to move big data workloads to the cloud. On the surface, it would seem that it’s a bit of a keeping up with the Joneses syndrome with organizations moving big data workloads to the cloud simply because they can.

Unravel Launches Performance Management and Cloud Migration Assessment Solution for Google Cloud Dataproc

We are very excited to announce that Unravel is now available for Google Cloud Dataproc. If you are already on GCP Dataproc or on a journey to migrate on-premises data workloads to GCP Dataproc then Unravel is now available immediately to accelerate and de-risk your Dataproc migration and ensure performance SLAs and cost targets are achieved.

Unravel and Azure Databricks: Monitor, Troubleshoot and Optimize Apache Spark in the Cloud

We are super excited to announce our support for Azure Databricks! We continue to build out the capabilities of the Unravel Data Operations platform and specifically support for the Microsoft Azure data and AI ecosystem teams. The business and technical imperative to strategically and tactically architect the journey to cloud for your organization has never been stronger.

End-to-end monitoring of HBase databases and clusters

Running real time data injection and multiple concurrent workloads on HBase clusters in production is always challenging. There are multiple factors that affect a cluster’s performance or health and dealing with them is not easy. Timely, up-to-date and detailed data is crucial to locating and fixing issues to maintain a cluster’s health and performance.

Accelerate and Reduce Costs of Migrating Data Workloads to the Cloud

Today, Unravel announced a new cloud migration assessment offer to accelerate the migration of data workloads to Microsoft Azure, Amazon AWS, or Google Cloud Platform. Our latest offer fills a significant gap in the cloud journey, equips enterprises with the tools to deliver on their cloud strategy, and provides the best possible transition with insights and guidance before, during, and after migration. Full details on the assessment and business value are detailed below in our announcement below.

Data Pipelines and the Promise of Data

The flow of data can be perilous. Any number of problems can develop during the transport of data from one system to another. Data flows can hit bottlenecks resulting in latency; it can become corrupted, or datasets may conflict or have duplication. The more complex the environment and intricate the requirements, the more the potential for these problems increases. Volume also increases the potential for problems. Transporting data between systems often requires several steps.

Meeting SLAs for Data Pipelines on Amazon EMR With Unravel

A household name in global media analytics – let’s call them MTI – is using Unravel to support their data operations (DataOps) on Amazon EMR to establish and protect their internal service level agreements (SLAs) and get the most out of their Spark applications and pipelines. Amazon EMR was an easy choice for MTI as the platform to run all their analytics. To start with, getting up and running is simple. There is nothing to install, no configuration required etc.