Best practices for optimizing your big data costs with Amazon EMR

As data volumes increase, so do the costs of processing it. We’ll review several best practices and new features that enable you to cut operating costs and create efficiencies when processing vast amounts of data using Amazon EMR. Session attendees will be able to walk away with a solid understanding of Managed Scaling, improving Apache Spark performance to help lower their Amazon EMR costs, and monitoring, tuning, and troubleshooting solutions for big data workloads on Amazon EMR.

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Angelo Carvalho, Principal Solutions Architect @ AWS

I'm passionate about working with the latest technology and designing cost-effective, highly available, and highly scalable solutions. I admire the pace of innovation of cloud computing and how it is transforming the information technology market. My goal is to promote the use of such technologies and help other companies to put aside the past and embrace the future.

What is DataOps Unleashed?

DataOps Unleashed is the official DataOps community.

We came together on March 17 as the emergence of DataOps, CloudOps, AIOps, MLOps, and other professionals, who gathered virtually to share the latest trends and best practices for running, managing, and monitoring data pipelines and data-intensive analytics workloads.

Sessions included talks by DataOps professionals at leading organizations, detailing how they’re establishing data predictability, increasing reliability, and reducing costs.

Join us in Winter 2022 for the next DataOps Unleashed!

What is the cost to watch the virtual sessions?

DataOps Unleashed is always free and open for all to attend and view on-demand.

Join us for sessions on:

  • Data pipelines
  • Data orchestration
  • Metadata
  • Data quality
  • Data governance
  • Data science platforms
  • AIOps and MLOps
  • CloudOps
  • Migrations
  • Observability
  • Optimization
  • Operations

Who comes to DataOps Unleashed?

DataOps professionals and experts including data administrators, data architects, data engineers, data analysts, AI/ML professionals, and data technology leadership.

If you'd like to speak at DataOps Unleashed, send a note to astronaut@solutionmonday.com.

New to DataOps?

DataOps is a holistic approach to the creation, deployment, monitoring, management, and optimization of data-driven applications. It describes the culture and rules of engagement that allow data teams to deliver and maintain high-quality, on-time data products, often powered by AI and machine learning, in an agile and cost-effective way.

DataOps defines how data teams work and also affects data consumers and those whose work causes new data to be created and used within the organization. Their work enables the entire organization to access data efficiently for data-driven decision-making and for the creation and delivery of data-driven applications.

Organizations with well-developed DataOps strategies, governance, and processes can expedite the delivery of data-driven workflows and results faster and better than others.

 

Sign up below to join us in 2022 at the next DataOps Unleashed

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