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How to Make Cloudera Data Platform Sing with Unravel

Tune your Cloudera Data Platform so it sings! Join this webinar to learn how to make it faster, better & cheaper with Unravel. You will learn how to reduce the time troubleshooting, while driving down costs in instrumenting Cloudera Data Platform through proven techniques:

Instantly understand why Spark applications, Kafka jobs, and Impala underperform or even failed in CDP
Define and meet enterprise service levels through proactive reporting and alerting
Reduce the overall cost of Cloudera Data Platform through better cluster utilisation
Recorded May 19 2020 44 mins
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Presented by
Chris Santiago, Solution Engineering Manager, Unravel Data
Presentation preview: How to Make Cloudera Data Platform Sing with Unravel

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  • Channel
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  • How to Optimize your Amazon EMR Costs Recorded: Jul 24 2020 11 mins
    Kunal Agarwal, CEO Unravel Data
    View this video to learn how Unravel can help reduce the cost of Amazon EMR costs.
  • Best Practices Optimizing your big data costs with Amazon EMR Recorded: Jul 22 2020 52 mins
    Kunal Agarwal, CEO Unravel Data & Roy Hasson, Sr. Manager Data Lakes, AWS
    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.

    Hear from Unravel Data on how you can use Unravel APM, a full-stack solution for big data workloads running on Amazon EMR, to get visibility and reporting on your Amazon EMR cluster resource utilization and cost savings.

    Learn about the best practices and new features such as Managed Scaling and improved Apache Spark performance to help you optimize and reduce your Amazon EMR costs.
    Watch a demo on how Unravel APM, a full-stack monitoring, tuning, and troubleshooting solution for big data workloads running on Amazon EMR, can help you optimize your Amazon EMR cluster costs.
  • CDO Sessions: Transforming DataOps in Banking Recorded: Jul 9 2020 48 mins
    Sandeep Uttamchandani, CDO & VP Engineering, Unravel Data & Matteo Pelati, Executive Director, DBS
    Join Unravel’s CDO & VP of Engineering, Sandeep Uttamchandani and Matteo Pelati, Executive Director, Head of Technology - Data Platform at DBS Bank as they discuss:

    How their tactical/strategic focus areas are evolving in these challenging times
    Cloud big data migration strategy, do's and don'ts
    Practical advice they can share for other leaders in the big data community
    How Unravel has helped DBS optimize their big data
  • CDO Sessions: Getting Real with Data Analytics Recorded: Jul 7 2020 59 mins
    Sandeep Uttamchandani & Kunal Agarwal, Unravel; Harinder Singh, Anheuser-Busch; Kumar Menon, Equifax
    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. Join us as we host a panel with global big data leaders from United Airlines, AB InBev and Equifax discussing:

    - How they are adapting their big data strategies for 2020 and beyond
    - How their tactical/strategic focus areas are evolving in these challenging times
    - How they are keeping their systems oiled and teams motivated
    - What practical advice they can share for other leaders in the big data community
  • Smarter On-Premise Big Data Workload Migration to Amazon EMR Recorded: Jun 25 2020 30 mins
    Mick Nolen, Senior Solution Engineer, Unravel Data
    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.
  • The Impacts of Big Data in Cloud, Hybrid and Multi-Cloud Environments Recorded: Jun 2 2020 59 mins
    Chris Santiago, Global Solution Engineering Manager, Unravel Data
    Whether you are looking to establish a hybrid big data architecture with Cloudera Data Platform or looking at Databricks, Google Cloud Platform & Amazon EMR; this session provides practical insights on how to understand the pros and cons of each model and the risks involved regardless of public cloud vendors. Join Chris Santiago as he shares how a data driven approach can guide you in deciding which big data technologies will best fit the needs unique to your organisation and budget.
  • Tune & Optimize Cloudera Data Platform Environments with Unravel Recorded: May 28 2020 54 mins
    Dave Berry, Head of International Solution Engineering, Unravel
    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:

    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

    Dave Berry has been at the forefront of the UK’s big data revolution. Being the go to big data export at Hortonworks, Cloudera, Dave helped support the big data journeys of some of Europe’s biggest enterprise organisations. Dave has over 10 years at Hortonworks, Centrica, HSBC, Barclays and most recently leads International Solution Engineering at Unravel Data.
  • How to Make Cloudera Data Platform Sing with Unravel Recorded: May 19 2020 44 mins
    Chris Santiago, Solution Engineering Manager, Unravel Data
    Tune your Cloudera Data Platform so it sings! Join this webinar to learn how to make it faster, better & cheaper with Unravel. You will learn how to reduce the time troubleshooting, while driving down costs in instrumenting Cloudera Data Platform through proven techniques:

    Instantly understand why Spark applications, Kafka jobs, and Impala underperform or even failed in CDP
    Define and meet enterprise service levels through proactive reporting and alerting
    Reduce the overall cost of Cloudera Data Platform through better cluster utilisation
  • Effective Cost Management for Azure Databricks Recorded: Apr 28 2020 57 mins
    Jason Baick, Senior Director of Product Marketing, Scott Sumner, Director of Solutions Engineering, Unravel
    Azure Databricks has become very popular as a computing framework for big data. However, customers are finding unexpected costs eating into their cloud budget. Furthermore, lack of visibility to root cause and general inefficiency is costing organizations thousands, if not millions in operating their Azure Databricks environment.

    Join Unravel to discuss top 5 cost management techniques in Azure Databricks and new features to effectively help manage costs on Azure Databricks, including:

    Cost analytics to provide assurance and forecasting for optimizing databricks workloads as they scale.
    Accurate, detailed chargeback reporting of the cost of running data apps on Azure Databricks.
  • Achieving Top Efficiency in Cloud Big Data Operations Recorded: Apr 24 2020 61 mins
    Sandeep Uttamchandani, CDO & VP Engineering, Unravel Data
    Enterprises across all sectors have invested heavily in big data infrastructure in the cloud. All too often, these mission-critical systems struggle to meet critical SLAs. Without proper procedures and tools, organizations will be penalized in lost productivity or financial penalties for missing SLAs.

    Join us for a practical discussion on techniques to quickly pinpoint and resolve issues, with Sandeep Uttamchandani, Chief Data Officer & VP of Engineering at Unravel Data. Sandeep will take us through a deep-dive discussion on issues managing complex data pipelines in various cloud services and lessons in transforming the data platform to becoming self-serve for citizen data users.
  • Effective Cost Management for Amazon EMR Recorded: Apr 9 2020 58 mins
    Jason Baick, Senior Director of Product Marketing, Unravel; Jobin George,Sr. Partner Solution Architect - Amazon Web Services
    Amazon EMR has become very popular as a cloud native platform for big data. However, customers are finding unexpected costs eating into their cloud budget. Furthermore, lack of visibility to root cause and general inefficiency is costing organizations thousands, if not millions in operating their Amazon EMR environment.

    Join AWS and Unravel to discover best practices to effectively manage costs on Amazon EMR. We will discuss:

    Advantages of running Spark and Hadoop on Amazon EMR;
    Top 5 contributors to cost overruns in Amazon EMR;
    Best practices to manage Amazon EMR costs with Unravel.
  • Optimize Performance for Apache Kafka with Unravel Recorded: Mar 24 2020 28 mins
    Mick Nolen, Senior Solution Engineer, Unravel Data
    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.
  • Effective Cost Control for Big Data in Hybrid and Multi-Cloud Environments Recorded: Mar 19 2020 38 mins
    Chris Santiago, Solution Engineering Manager, Unravel Data
    Starting in 2019, enterprises have been intentional in their platform decisions to favor hybrid and multi-cloud strategies. Due in large part to avoiding vendor lock-in and maintaining choice as they on-board to the cloud, organizations are hedging their bets to allow for maximum flexibility. Join Unravel to learn practical approaches to monitoring, optimizing and managing your big data - wherever it may be deployed: on-premises, cloud or hybrid environments.
  • 5 Ways to Slash your On-Premise Hadoop Platform Costs Recorded: Mar 12 2020 58 mins
    Chris Santiago, Solution Engineering Director, Unravel Data
    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 Management for Azure Databricks Recorded: Feb 20 2020 29 mins
    Abha Jain, Senior Director of Products, Unravel Data
    Azure Databricks has become very popular as a computing framework for big data. However, customers are finding unexpected costs eating into their cloud budget. Furthermore, lack of visibility to root cause and general inefficiency is costing organizations thousands, if not millions in operating their Azure Databricks environment.

    Join Unravel to discuss new features to effectively help manage costs on Azure Databricks:

    Cost analytics to provide assurance and forecasting for optimizing Databricks workloads as they scale.

    Accurate, detailed chargeback reporting of the cost of running data apps on Azure Databricks.

    Right-sizing recommendations to reveal the best virtual machine or workload types that will provide same performance on cheaper clusters.
  • Best Practices: Troubleshoot and Optimize Spark Data Pipelines with Unravel Recorded: Feb 20 2020 47 mins
    Muji Qadri, Senior Solution Engineer, Unravel Data
    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.
  • Best Practices: Monitoring End-to-End Hbase Performance with Unravel Recorded: Feb 6 2020 30 mins
    Chris Santiago, Solution Engineering Director, Unravel Data
    Running real-time data injection workloads on HBase clusters are always challenging. Timely, up-to-date, detailed data is crucial to locating and fixing issues to maintain a cluster's health and performance. Join us to learn how Unravel provides detailed data and metrics to help you identify the root causes of cluster and performance issues in Hbase.
  • Look Before You Leap: Migrating On-Premises Hadoop to AWS Recorded: Jan 17 2020 55 mins
    Jason Baick, Senior Director of Product Marketing, Unravel; Javier Ramirez, Senior Developer Associate, AWS
    Lack of agility, excessive costs, and administrative overhead are convincing on-premises Spark and Hadoop customers to migrate to cloud native services on AWS. As you’re migrating these applications to the cloud, Unravel helps ensure you won’t be flying blind.

    Join AWS and Unravel as we discuss:

    Top reasons customers choose AWS for their cloud migration journey,
    Advantages of planning out your Hadoop migration to AWS,
    Demo: Migration assessment capabilities to ensure risk-free migration.
  • Unravel Demo - Big Data Application Performance Management Recorded: Jan 8 2020 36 mins
    Mick Nolen, Senior Solution Engineer, Unravel Data
    Enterprises across all sectors have invested heavily in big data infrastructure (Hadoop, Impala, Spark, Kafka, etc.) to turn data into insights into business value. It is increasingly challenging for Data Ops teams to operate and maintain these clusters to meet business requirements and performance SLAs. Unravel helps organizations optimize performance, automate troubleshooting and contain costs - on premises or in the cloud. Register for a demo of Unravel for big data application performance management.
  • Application Performance Management & Operational Intelligence for Amazon EMR Recorded: Dec 31 2019 44 mins
    Abha Jain, Director of Products, Unravel Data; Shashi Raina, Partner Solution Architect at Amazon Web Services
    According to Ovum research, over half of big data workloads will be running in the cloud by the end of this year (2019). Amazon EMR is an industry leading cloud-native big data platform that can easily run Apache Spark, Hadoop, Presto and Hive. Unravel for Amazon EMR provides a solution to deliver comprehensive monitoring, troubleshooting, and application performance management for Amazon EMR environments.

    In this webinar, we will discuss:
    Overview of Amazon EMR with common use cases;
    Application Performance Management for Amazon EMR;
    Comprehensive reporting, alerting, and recommendations for optimization
AI-powered performance management for your modern data applications.
At Unravel, we see an urgent need to help every business understand and optimize the performance of their applications, while managing data operations with greater insight, intelligence, and automation.

For these businesses, Unravel is the AI-powered data operations company. We offer novel solutions that leverage AI, machine learning, and advanced analytics to help you fully operationalize the way you drive predictable performance in your modern data applications and pipelines.

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  • Live at: May 19 2020 4:00 pm
  • Presented by: Chris Santiago, Solution Engineering Manager, Unravel Data
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