Name: Why DataFlow Was Invented Part 5: Collect Any Data, Any Size, Anywhere
Start: 2016-02-02T11:10:00Z
End: 2016-02-02T11:10:01.000Z
Location: BrightTALK
Rating: 0

Founded in 2011 by 24 engineers from the original Yahoo! Hadoop team, Hortonworks has amassed more Hadoop experience under one roof than any other organization in the world. Our team works every day to enhance the Hadoop core, creating new code to improve the open product we have stewarded since its inception. Simply put, we are your best choice to support you in your Hadoop journey.

In this panel webinar, Arun Murthy, co-founder and Chief Product Officer of Hortonworks,  helps you navigate hybrid environments and provides best practices to follow for a successful, strategy-based cloud implementation.

Cloud Computing - an Extension of your Data Strategy

The world of IoT is exploding uncontrollably across all industry verticals. Hundreds of IoT use cases have come up in the last couple of years.
 
And, if you are in one of those enterprises implementing an IoT solution, have you wondered how to measure the success of your deployment? Have you assessed your readiness across your data strategy, infrastructure setup, people skills or ability to analyze real-time data?

IoT War Stories – Challenges, Solutions, and Best Practices

Enterprises are increasingly storing and analyzing their data in data lakes that are spread across geographically, as well as in on-premise and cloud environments. This raises the challenge for companies to manage, secure and govern data consistently across distributed environments and at the same time make data available to all the users in the organization. 

In this session, Matt Aslett, Research Director at 451 Research will lead a discussion with Scott Gnau, CTO at Hortonworks about the challenges and considerations of managing big data on a global scale.

Evolution of the Data Lake - Are You Ready?

GDPR represents a sea change for the organizations that store or process any kind of data on EU residents. As companies scramble to comply with the upcoming regulation, they have questions about how to get started and what are the best practices to follow. In this live panel, you will hear from GDPR experts about the importance of data governance to comply with regulations and get practical advice on how to successfully manage the path to GDPR compliance.

Path to GDPR Compliance Begins with Data Governance - Live Panel

Trimble Transportation Enterprise is a leading provider of enterprise software to over 2,000 transportation and logistics companies. They have designed an architecture that leverages Hortonworks Big Data solutions and Machine Learning models to power up multiple Blockchains, which improves operational efficiency, cuts down costs and enables building strategic partnerships.
 
Timothy Leonard, EVP Operations & CTO, at Trimble Transportation Enterprise Solutions will share how this Blockchain-driven architecture has:

*Benefits in use cases across the transportation and logistics space, such as Contract Freight RFP/Bid/Award/Commitment tracking, Farm-to-Fork models, and food safety

*Allowed one of their carriers to save over $3.5 million a year, enabled by smart contract in the Blockchain system

Blockchain with Machine Learning Powered by Big Data: Trimble Transportation Ent

Apache NiFi is an easy to use, powerful, and reliable system to process and distribute data. It provides an end-to-end platform that can collect, curate, analyze, and act on data in real-time, on-premises, or in the cloud with a drag-and-drop visual interface. It’s being used across industries on large amounts of data that had stored in isolation which made collaboration and analysis difficult.

Join industry experts from Hortonworks and Attunity as they explain how Apache NiFi and streaming CDC technology provides a distributed, resilient platform for unlocking the value of data in new ways.

During this webinar, you will:

*Discover the advantages of Apache NiFi
*See how to create a NiFi dataflow
*Learn how industries like yours are using NiFi
*Accelerate data replication

Unlock Value from Big Data with Apache NiFi and Streaming CDC

Learn how you can use Microsoft Azure HDInsight to discover insight from new data sources such as machine logs, sensors, social media, weather and geospatial data.

Democratizing Big Data with Microsoft Azure HDInsight

Watch this on-demand webinar and learn how a leading healthcare company is yielding big dividends from Big Data.

Advisory Board, a healthcare firm serving 90% of U.S. hospitals, has multiple different business units and data science teams within their organization. In this webinar, they'll share how they use technologies like Hadoop and Spark to address the diverse use cases for these different teams – with a highly flexible and elastic platform leveraging Docker containers.

In this webinar, Advisory Board discussed how they:

-Migrated their analytics from spreadsheets and RDBMS to a modern architecture using tools such as Hadoop, Spark, H2O, Jupyter, RStudio, and Zeppelin.

-Provide the ability to spin up instant clusters for greater agility, with shared and secure access to a treasure trove of data in their HDFS data lake.

-Shortened time-to-insights from days to minutes, slashed infrastructure costs by more than 80 percent, and freed up staff to innovate and build new capabilities.

Don’t miss watching this case study webinar. Find out how you can improve agility, flexibility, and ROI for your Big Data journey.

Big Data Customer Case Study: The Advisory Board Company

In today's rapidly changing business environment, organisations face the challenge of adopting and meeting ever-changing stakeholder demands. Business leaders introduce new analytical workloads, expecting IT to deliver services ever quicker and more efficiently to allow businesses to gain real-time insights from the data and drive a more targeted customer interaction - and even fiercer competition. But how can IT make this happen?

During this webinar Hortonworks and IBM will share real world use cases, showcasing organisations used our technology to accommodate changing needs and to monetise on the insights gathered from the data.

How to Disrupt Your Market: A Guide to Industry Transformation, Tailored to You

Today's corporate organizations are evolving at a pace that it has become imperative to become data driven, digitally transformed to stay competitive. With this in mind, further advances in new technologies such as open source platforms,  artificial Intelligence, virtual reality have challenged those once aspirations now called norms. 

Join Abhas of Hortonworks as he shares how organizations have evolved transforming their business practices, operations and culture. He'll also share insights into what industries and technologies are trending and what to expect in the not so distant future.

Digital Transformation, AI & IoT  - what’s next?

You have a legacy system that no longer meet the demands of your current data needs, and replacing it isn’t an option. But don’t panic: Modernizing your traditional enterprise data warehouse is easier than you may think.

Join us on August 1st at 11am PDT to hear from David Loshin, President of Knowledge Integrity, Inc. and Scott Gnau, Chief Technology Officer of Hortonworks as they discuss what it takes to optimize your enterprise data warehouse. When you attend, you will learn how to:

• Leverage Horizontal Scalability/Elasticity with Open Source Technologies to Reduce Costs
• Augment enterprise data warehouse storage with Hadoop and Hive
• Use Flexible Data Organization to Enable Schema on Read

Enterprise Data Warehouse Optimization: 7 Keys to Success

The upcoming GDPR legislation represents a sea change for organisations that store or process data relating to EU residents. With penalties for violations up to 4% of annual global turnover, organisations are scrambling to comply with GDPR provisions. Effective data governance and access control helps enterprises manage risk effectively, comply with regulations and gain competitive advantage through agile decision.
Join Srikanth Venkat, Sr. Director Product Management and Ana Gillan, Solutions Engineer as they discuss effective data governance and its role in complying with regulations such as GDPR. They will also cover Atlas and Ranger, the governance and security components of Hortonworks Data Platform and their role in effective data governance.
 
This webinar is not intended to constitute legal advice. Viewers should consult with their own legal counsel regarding compliance with GDPR and other laws and regulations applicable to their particular situation and intended use of any Hortonworks products and services. Hortonworks makes no warranties, express, implied, or statutory, as to the information in this webinar.

How Data Governance Holds the Key to GDPR Compliance

To realize the full potential of modern data applications, organizations need to be able to capture perishable insights from data in motion. While flow management tools are available to help gather, route, filter and transform data from any source, companies have lacked equivalent tools for building the analytics apps needed to extract insight from streaming data.

Join this webinar as we discuss how to build next generation analytical application using HDF 3.0 very quickly.

Sebastian is an HDF specialist in Europe and has previously worked on Big Data and Software Engineering projects with Raytheon and Lockheed Martin in Australia. He  first started using dataflow components such as NiFi three years ago and immediately felt the benefits that it brings and is now the go to data-in-motion evangelist at Hortonworks EMEA.

How to build Next Generation Analytics Applications using HDF 3.0

To realize the full potential of modern data applications, organizations need to be able to capture perishable insights from data in motion. While flow management tools are available to help gather, route, filter and transform data from any source, companies have lacked equivalent tools for building the analytics apps needed to extract insight from streaming data.

Imagine the power to build a fully functional streaming analytics application without writing a single line of code and within as little as 10min.

Building Next Generation Streaming Analytics Application - Within 10 Min

The march towards autonomous vehicles continues to accelerate. While expert opinion differs on the specific timing and use cases that will emerge first, few deny that self-driving cars are in our future.
 
As we all can appreciate, “teaching” a vehicle to drive under the full range of conditions it will encounter (i.e. road conditions, weather conditions, behavior of other vehicles) is a daunting proposition. If merely the thought of this makes you nervous, you’re not alone – according to the American Automobile Association (AAA), 75 percent of consumers are not yet ready to embrace self-driving cars. However, that is the very challenge facing automakers – teaching vehicles to unfailingly assess and respond to any combination of operational conditions “on-the-fly” through discrete rules (algorithms) governing a vehicle’s behavior.
 
Join Hortonworks and NorCom at the upcoming webinar as we discuss:

•Evolution of the autonomous driving
•Traditional data management approaches and main challenges associated with them
•How NorCom and Hortonworks can address those challenges and accelerate the pace of autonomous development

Your Self-Driving Car – How Did It Get So Smart?

Find out how Hortonworks support subscriptions enable IT agility and success in the cloud.

Powering Big Data Success in the Cloud

Do you have multiple systems and scripts to accommodate data collection from different data sources?
Reason #5 Dataflow was invented was to fill the need to collect real time data of any size, from anywhere, from anything, and securely, reliably, efficiently, consistently, and cost-effectively deliver it to the right place at the right time. Dataflow: A single integrated platform with a visual user interface for easily, securely and reliably moving data from wherever it originated to anywhere it needs to go. Dataflow made Pat, his team and all his end users very happy and can do the same for you.

Why DataFlow Was Invented Part 5: Collect Any Data, Any Size, Anywhere

DataFlow

Apache NiFi

Hortonworks

Data Ingest

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Why DataFlow Was Invented Part 5: Collect Any Data, Any Size, Anywhere

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