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30+ Leading Data Experts from Top Companies Cover Topics from the Edge to AI

Cloudera Now is the world’s premier online big data event designed for architects, analysts, data scientists, engineers, IT specialists, developers and DBAs. Don’t miss this chance to hear about the latest developments in AI, Machine Learning, IoT, Cloud, and more in over 30 sessions, technical deep dives, demonstrations and customer use cases.

Get answers to your top questions while learning how to apply open source technology to accelerate your digital transformation in any cloud from the Edge to AI.


Doug Cutting, Chief Architect, Cloudera

Journey to the Enterprise Data Cloud

Doug Cutting, Hadoop Founder, Cloudera

Arun C. Murthy, Chief Product Officer

Data Architectures for the Hybrid and Multi Cloud-Era

Arun C. Murthy, Chief Product Officer, Cloudera

Justin Norman

Accelerating the Journey to Industrialized AI

Justin Norman, Director of Research and Data Science Services, Cloudera Fast Forward Labs

Rachel Mushahwar

Vortex of Change, Business Metamorphosis (In a Digital Age)

Rachel Mushahwar, Vice President and General Manager of US Sales, Intel

Why Attend?

Big data, data science, and big innovation are in your DNA. Join your peers at Cloudera Now where you’ll hear industry experts and practitioners as they share real-world use-cases, success stories, and best practices.

Built for a technical audience

  • Architects
  • Analysts
  • Data Scientists
  • Engineers 
  • IT Specialists 
  • Developers 
  • DBAs 
  • Data Practitioners 
  • IoT Experts

Action oriented topics

  • Migration to the cloud, hybrid cloud, and multi-cloud

  • How to do Machine Learning at industrial scale

  • The latest Apache advances such as Kubernetes, Nifi, etc.

  • and much more

Access to 30+ sessions

  • Free event 
  • On-demand access after the event
  • 30+ technologies


Sessions by Category

Featured Speakers

Welcome keynote

Doug Cutting, Hadoop Founder, Cloudera

Data Architectures for the Hybrid and Multi Cloud-Era

Arun C. Murthy, Chief Product Officer, Cloudera

Vortex of Change, Business Metamorphosis (In a Digital Age)

Rachel Mushahwar, Vice President and General Manager of US Sales, Intel

Lessons Learned from Five Real AI Deployments

David Tareen, Global Product Marketing for AI, SAS

Cloudera's New Cloud - Cloudera Data Platform (CDP)

Cloudera Data Platform: Cloudera's New Cloud - Product Demos

Fred Koopmans, VP Product Management, Cloudera | Ram Venkatesh, VP Engineering, Cloudera | Naren Koneru, Sr. Director, Engineering, Cloudera | Vidya Raman, Director of Product Management, Cloudera | Santosh Kumar, Senior Product Manager, Cloudera

See live demo's of Cloudera's new cloud offering the Cloudera Data Platform (CDP). The only Enterprise Data Cloud to encompass hybrid and multi-cloud, multi-function analytics, secure and governed, all built on open source.

Experience the First Hybrid Multi-Cloud Data Warehouse on CDP

David Dichmann, Director of Product Marketing, Cloudera | Sid Shaik, Director of Product Management, Cloudera

Learn how Cloudera's Data Warehouse Experience on the Cloudera Data Platform can evaluate current workloads, identify candidates to take to the cloud, seamlessly transition to the cloud with auto-scale and auto-suspend, and more.

Building Trust in Your Data Lakes: Metadata Cataloging to the Rescue

Srikanth Venkat, Sr. Director, Product Management, Cloudera

Cloudera's New Cloud - Cloudera Data Platform (CDP) featuring Atlas and Navigator

Architecture, Operations and Cloud

Five Steps to Aligning Your Data and Cloud Strategies

Charles Boicey, Chief Innovation Officer, ClearSense | Rohit Balasubramanian, Managing Director, Deloitte | Wim Stoop, Product Marketing Manager, Cloudera

Panel discussion on hybrid cloud strategy, deploying applications, data, and infrastructure on a combination of on-premises and cloud resources.

Audi's Hadoop Journey into the Hybrid Cloud

Carsten Herbe, Big Data Architect, Audi Business Innovation GmbH

Audi explains their motivation, requirement, tools and steps they took to build a Hadoop platform in AWS to extend the on-premise Hadoop cluster to a hybrid platform.

Growing a Better Data Lake Together

Edwin Scheepstra, Business Analyst, Rabobank | Jeroen Wolffensperger, Solution Architect Data, Rabobank

Rabobank shares insights into how they optimize value for customers and their success story on transforming the Rabobank to a digital convenience bank using big data technologies.

Avoiding Log Data Overload in a CI/CD System While Streaming 190 Billion Events Daily

Joshua Robinson, FlashBlade Founding Engineer, Pure Storage

Learn how Pure Storage engineering manages streaming 190B log events per day and makes use of that deluge of data in our continuous integration (CI) pipeline. Our test infrastructure runs over 70,000 tests per day creating a large triage problem that would require at least 20 triage engineers. Instead, Spark's flexible computing platform allows us to write a single application for both streaming and batch jobs to understand the state of our CI pipeline for our team of 3 triage engineers.

Evolution of Apache HBase in Azure HDInsight

Ron Abellera, Cloud Architect, Microsoft | Gaurav Kanade, Software Engineer, Microsoft


Bullet-Proof Your Hybrid Cloud Strategy

Dave Mariani, Founder and Chief Strategy Officer, AtScale

Data Warehousing and Operational Data Stores

An Independent Perspective on the Modern Data Warehouse

Richard Winter, CEO, WinterCorp

The data warehouse concept emerged around 1990, was fully formed by around 2000 and led to a boom in the implementation of data warehouses and data marts over the years that followed. A data warehouse is much more than the relational database platform on which it runs. It also has a data model, an ETL process that feeds it data, and a substantial set of processes around its governance, its evolution and its implementation. 

While data warehouses have met many important business needs for data and decision making, the world has changed substantially over the last 10-15 years. Many data warehouse owners are now confronting requirements that these earlier programs were never designed to address. This session will describe the requirements and opportunities that data warehouse program leaders face today; relevant technology trends; and, approaches to consider moving forward, from the perspective of an independent consultant.

Modernize Your Data Warehouse with Informatica and Cloudera

Sam Tawfik, Principal Marketing Manager, Informatica | Premchand Bellamkonda, Senior Product Manager, Informatica

In this webinar you will learn how Informatica and Cloudera together help you deliver a proven solution to rapidly transform data into trusted information with comprehensive data lake management. We will discuss key data warehouse modernization trends and disruptors and the need for a modern data warehouse solution to address new requirements. The solution helps you operationalize your data management and deliver self-service data preparation with governance.

Time Series Analytics with the Cloudera Data Warehouse

Eva Nahari, Director Product, Cloudera | Dave Shuman, Industry and Solution Leader, Cloudera | Jeremy Beard, Data Warehouse Field Engineer, Cloudera

What do predictive maintenance, increasing availability of manufacturing equipment, optimizing for peak behavior to support grid or network performance, and preventing threats all have in common? They all require analysis of time series data at scale, in real time. Does your infrastructure have the power, storage capacity and real time user access necessary to deliver high quality time series analytics? In this session, we will explore the use cases that are driving manufacturing, energy and telecommunications companies to invest in time series analytics, and an architecture from Cloudera designed to enable 10x increase in sample frequency with over 80% decrease in operational costs for time series use cases.

Data Warehouse Optimization: See How Others Have Optimized Exadata, Teradata & Netezza Data Warehouses with Cloudera

David Dichmann, Director Product Marketing, Cloudera | Raman Rajasekhar, Senior Product Manager, Cloudera

With Data Warehousing as the backbone of every data-driven organization, we need to prepare for the data tsunami challenge driven by a new variety of high-value BI and analytics use cases that we need to capitalize on. Traditional data warehouses can no longer cost-effectively meet all these new demands. This session will show how using a modern data warehouse as an optimizer, we can manage the data explosion while shortening the data warehouse lifecycle, support hundreds of new use cases that arise from making this new data available, while we cost-effectively scale, dynamically, across a choice of environments, spanning the data center and the cloud.

Apache Phoenix: Best New Feature for DBMS

Krishna Maheshwari, Director Product Management, Cloudera | Henry Sowell, Director Solutions Engineering, Cloudera | Timothy Spann, Field Engineer, Data in Motion, Cloudera

Cloudera announces support for Apache Phoenix with Cloudera Enterprise Data Hub (CDH). Apache Phoenix provides an RDBMS-like experience with scale-out architecture for custom operational & transactional applications. It is an extension to Apache HBase that provides a programmatic ANSI SQL interface, secondary indexes, foreign key support, and more.

AI, ML and Data Science

Accelerating the Journey to Industrialized AI

Justin Norman, Director of Research and Data Science Services, Cloudera Fast Forward Labs

Enterprises have now been investing in machine learning (ML) and artificial intelligence (AI) for years. The dream has always been (and still is) for business to leverage these new technologies in order to drive efficiencies, differentiation and growth, and the next opportunity is about consistently building and operationalizing new capabilities at scale. However, many companies are finding that their ML and AI initiatives aren’t quite living up to the dream, and aren’t realizing their full potential. Learn how Cloudera's portfolio of platform-integrated software and services has evolved to meet you where you are and accelerate your journey to running an AI factory to fuel the future of your business.

Introducing Cloudera Data Science Workbench 1.6 and new ML services

Hilary Mason, GM Machine Learning, Cloudera | Bethan Noble, Director Product Marketing, Cloudera | Michael Gregory, ML Field Engineering Lead, Cloudera

Please join Hilary Mason, general manager, Machine Learning, at Cloudera, together with Cloudera Machine Learning product experts for a tour of newly available products and services, including Cloudera Data Science Workbench (CDSW) 1.6, and a preview of upcoming innovations that reflect Cloudera’s ongoing commitment to help customers industrialize AI.

Climbing the AI Ladder

Rob Thomas, General Manager, IBM Data and Watson AI

Every company is on a journey toward AI, IBM wants to help you get there. Find out how to collect, organize and analyze data and infuse AI into your business processes.

Production ML, Today and Tomorrow

Alex Breshears, Senior Product Manager, Cloudera

Machine Learning isn’t a single activity - it’s an end to end workflow with many phases. It’s critical that customers look at the end to end capability for developing data pipelines for ML. In this session, Alex Breshears will explore the model development life cycle including model training, to the software development discipline of moving models to production and keeping them up and monitoring overall model health - including mathematical boundaries along with the technical performance.

Use-case Analysis to Mitigate Value at Risk in Telecom

Dr. Waskif Masood, Data Scientist, T-Mobile Austria

In this talk Dr. Wasif Masood, Data Scientist, T-Mobile Austria, bridges the gap between the business case owners and the data scientists who eventually deliver those business cases. In his experience, there exists a noticeable gap between the two, mainly due to different set of priorities. He indulges these disparate streams of audiences by sharing two years of data science work at T-Mobile Austria (TMA) from the perspective of helping fellow data scientists to formulate their use-cases better so that the underlying business value is emphasized. He presents various data science use-cases and how they come together to give a bigger picture of mitigating value at risk. Learning from experience, he emphasizes the use of applied research by the data scientists to help speed up the attribution of their use-cases. This shows the value of an effective data-driven culture and the practices it brings along.

Model Factory at ING Bank

Dor Kedem, Lead Data Scientist, ING Bank

At ING Bank, machine learning models are a key factor in making relevant engagements with our customers, empowering them to stay a step ahead in life and in business. In our efforts to make the model building process more rapid, compliant, validated and accessible to roles other than data scientists (such as data analysts or customer journey experts), we have structured it for an easy creation of propensity models.

In this talk, I will present this structure, focusing on pipelining data science models in Apache Spark. In particular, I will show how we use Apache Sqoop & Ranger to comply with GDPR, build a data science workflow on top of python and Jupyter, extend the SparkML libraries on PySpark to create custom standardizers and cross-validators, and show an in-house developed monitoring tool built on top of Elasticsearch for model evaluation.

Finally, I will describe the type of engagement analysts and customer journey experts have with the result set of the models created, and how we refine our dashboards (in IBM Cognos) accordingly.

IoT and Streaming Analytics

Data-in-Motion Technology Showcase

Vikram Makhija, GM Data in Motion, Cloudera

Introducing Cloudera Flow Management and Cloudera Edge Management - the latest additions to the Cloudera DataFlow toolset.

Kafka Power Chat Pt. 1: Challenges in Streaming Architectures

Dinesh Chandrasekhar, Director Product Marketing, Cloudera | Renu Tewari, Director, Engineering, Cloudera

Hear one of the original Kafka team members and a leader in this space, Renu Tewari explain key challenges an enterprise is bound to face with streaming architectures, how to overcome those challenges with an effective Kafka implementation, and review practical use cases and their successes and failures.

How to Ingest 16 Billion Records Per Day into your Hadoop Environment

Uwe Weber, Senior Big Data Engineer, Telefonica Germany

Telefónica is using Cloudera DataFlow to ingest 16 billion records a day to help plan and create a better mobile network - attend to hear about their technical implementation, made scalable by Cloudera DataFlow.

Industry, Public Sector, Governance and Security

Over 520 Financial Services customers globally are using Cloudera's Enterprise Data Cloud

Steve Totman, Industry Lead for Financial Services, Cloudera

See cool global Financial Services use cases being deployed for Data Warehousing, Data Engineering, Machine Learning, and more.

Cloudera’s customers include:

  • 25/29 Globally Systemically important Banks
  • 12/15 Top Insurance Firms
  • 12/15 Top Credit Card Issuers
  • 4/5 Top Stock Exchanges
  • 8/10 Top Wealth Management Firms
  • 4/4 Top Payment Processing Companies

Apache Ranger Deep-Dive

Purnima Reddy Kuchikulla, Senior Solutions Engineer, Cloudera

This talk briefly touches on overall Security and Governance, double clicks on attribute based policies and Schedulable policies via Ranger.

Fighting Financial Crime using Data and Analytics

Dr. Richard Harmon, Managing Director, Financial Services, Cloudera | Justin Lyon, CEO & Founder, Simudyne

Computer Vision in Manufacturing with Miner & Kasch

Michael Ger, Managing Director, Manufacturing and Automotive, Cloudera | Florian Muellerklein, Data Scientist, Miner & Kasch | Adam Nepp, Vice President of Sales, Miner & Kasch

Reimagining Energy & Utilities using data, analytics, and AI

Dave Shuman, Industry Leader, IoT & Manufacturing, Cloudera


Rob Johnson Director of Data Engineering, Cloudera
Charles Boicey Chief Innovation Officer and Cofounder, Clearsense LLC
Dave Shuman Industry Leader, IoT & Manufacturing, Cloudera
Adam Nepp Vice President of Sales, Miner & Kasch
Eva Nahari Director Product Management, Cloudera
Richard Harmon Industry Lead for Financial Services, Cloudera
Rob Thomas General Manager, IBM Data and Watson AI
Ron Abellera Director, Azure GBB Data Specialist for the Americas, Microsoft
Gaurav Kanade Software Engineer, Microsoft
Premchand Bellamkonda Senior Product Manager, Informatica
Sam Tawfik Principal Marketing Manager, Informatica
Steve Totman Industry Lead for Financial Services, Cloudera
Justin Lyon CEO and Founder, Simudyne
Florian Muellerklein Data Scientist, Miner & Kasch
Michael Ger Managing Director, Cloudera
Carsten Herbe Big Data Architect, Audi Business Innovation GmbH
Dor Kedem Lead Data Scientist, ING Bank
Edwin Scheepstra Business Analyst, Rabobank
Dr. Wasif Masood Data Scientist, T-Mobile Austria
Bethann Noble Director Product Marketing Machine Learning, Cloudera
Uwe Weber Senior Big Data Engineer, Telefonica Germany
Jeremy Beard Data Warehouse Field Engineer, Cloudera
Wim Stoop Senior Product Marketing Manager, Cloudera
Richard Winter Chief Executive Officer, WinterCorp
Rohit Balasubramanian Managing Director, Deloitte
Renu Tewari Director of Engineering, Cloudera
Purnima Reddy Kuchikulla Senior Solutions Engineer, Cloudera
Jeroen Wolffensperger Solution Architect Data, Rabobank
David Tareen Global Product Marketing for AI, SAS
Sid Shaik Director Product Management, Cloudera
Michael Gregory Machine Learning Field Engineering Lead, Cloudera
David Dichmann Director Product Marketing, Cloudera
Alex Breshears Senior Product Manager, Cloudera
Vikram Makhija General Manager Data in Motion, Cloudera
Dinesh Chandrasekhar Director Product Marketing, Cloudera
Henry Sowell Director Solutions Engineering, Cloudera
Dave Mariani Founder and Chief Strategy Officer, AtScale
Ram Venkatesh Vice President of Engineering, Cloudera
Krishna Maheshwari Director Product Management, Cloudera
Naren Koneru Senior Director, Engineering, Cloudera
Fred Koopmans Vice President of Product Management, Cloudera
Vidya Raman Director of Product Management, Cloudera
Joshua Robinson Founding Engineer, FlashBlade, Pure Storage
Srikanth Venkat Senior Director, Product Management, Cloudera
Alan Jackoway Senior Corporate EDH Manager, Cloudera
Santosh Kumar Senior Product Manager, Cloudera
Raman Rajasekhar Senior Product Manager, Cloudera
Timothy Spann Field Engineer, Data in Motion, Cloudera


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