Systems | Development | Analytics | API | Testing

Join Unravel to develop an understanding of the performance dynamics of modern data pipelines and applications. In this session, you will learn about uncovering and understanding the key datasets, metrics, and best practices needed to develop mastery with Spark performance management on-premise and in the Cloud.

Make your on-premise Hadoop platform faster, better & cheaper with Unravel by joining Chris Santiago, Solution Engineering Manager to learn how to reduce the time troubleshooting and the costs involved in operating your data platform. During this webinar we will demonstrate how Unravel complements and extends your existing on-premise data platform to: 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. Reduce the overall cost of Cloudera/MapR/Apache Hadoop/Spark through better cluster utilisation resulting to an immediate reduction in MTTI and MTTR

Effective Cost Control for Big Data in Hybrid and Multi-Cloud Environments

Kafka has quickly become the first choice as the platform for building real-time data pipelines and streaming applications. Businesses depend on Kafka for applications which need to react to events in real time in a distributed, replicated, fault-tolerant manner. Join us to learn how Unravel provides detailed data and metrics to help you identify the root causes of Kafka cluster performance issues.

Make Cloudera Data Platform faster, better & cheaper with Unravel by joining Dave Berry, Solution Engineering Director to learn how to reduce the time troubleshooting and the costs involved in operating your data platform. During this webinar we will demonstrate how Unravel complements and extends your existing on-premise, hybrid data platform to.

Lack of agility, excessive costs, and administrative overhead are convincing on-premises Spark and Hadoop customers to migrate to cloud native services on AWS. Whether you're using Cloudera, Hortonworks, MapR, Unravel helps ensure you won't be flying blind moving workloads to the cloud. Join Mick Nolen, Solutions Engineer at Unravel Data, as he takes you through an insights based approach to migration from on-premise big data to Amazon EMR.

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.

DataOps is the hot new trend in IT, following on from the rapid rise of DevOps over the last decade. The growth of AI, machine learning, and move to cloud all contribute to the growing importance of DataOps. Kunal Agarwal, Unravel Data CEO will take you through the rise of DataOps and show you how to implement a data culture in your organization.

Cloud migration may be the biggest challenge, and the biggest opportunity, facing IT departments today - especially if you use big data and streaming data technologies, such as Cloudera, Hadoop, Spark, and Kafka. In this 55-minute webinar, Unravel Data product marketer Floyd Smith and Solutions Engineering Director Chris Santiago describe how to move workloads to Azure HDInsights, Databricks, and other destinations on Azure, fast and at the lowest possible cost

Cloud migration may be the biggest challenge, and the biggest opportunity, facing IT departments today - especially if you use big data and streaming data technologies, such as Cloudera, Hadoop, Spark, and Kafka. In this 55-minute webinar, Unravel Data product marketer Floyd Smith and Solutions Engineering Director Chris Santiago describe how to move workloads to Google Dataproc, BigQuery, and other destinations on GCP, fast and at the lowest possible cost.