A study of the top data breaches in 2015 reads like a "who's who" of actors in society across governmental departments, banks and retail establishments. The financial services industry understands that a comprehensive & strategic approach to cybersecurity is now far from being an IT challenge a few years ago to a "must have". As digital and IoT ecosystems in financial services evolve to cloud computing architectures fronted by API federations, more assets are at danger of being targeted by fraudsters and other sophisticated adversaries. This webinar will explore how the Hadoop ecosystems can deliver immense value to cyber security systems in today's data driven world.
RecordedFeb 16 201667 mins
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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.
Michael Ger, Hortonworks; Seunghan Han & Andreas Pawlik, NorCom
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
Dave Russell, Hortonworks and Paige Roberts, Syncsort
As organisations worldwide develop strategies to gain competitive advantage through Big Data Analytics, the role of the Enterprise Data Warehouse has never been more crucial. The front-runners in the “Big Data Gold Rush” are now leveraging the power of Hadoop to extend and optimise their EDW infrastructure.
Hortonworks, in partnership with Syncsort, are helping enterprises to dramatically lower EDW storage and processing costs whilst extending capacity and capabilities.
Join us at this live webcast to learn how Hortonwork’s Hadoop Powered EDW (Enterprise Data Warehouse) Optimization Solution with Syncsort DMX-h enables you to liberate data from across the enterprise, quickly create and populate your Big Data lake, and deliver powerful, actionable insights.
Customer case studies across a variety of industries will bring to life how organizations are using this solution to gain bigger insights from their enterprise data – securely and cost-effectively – with faster time to value.
How does your business navigate the ins and outs to ensure compliance with the new UK GDPR coming into effect in 2018? The GDPR will constitute one of the most comprehensive enhancement of individual rights and reform of digital customer protection law to date. Join Hortonworks as we discuss:
If GDPR good for business
What new rights as an individual under GDPR are
What the consequences for non compliance are
How Hortonworks can support your business across the information supply chain
Arvind Rajagopalan, Verizon, Jordan Martz, Attunity, Sanjay Kumar, Hortonworks
Verizon – Global Technology Services (GTS) was challenged by a multi-tier, labor-intensive process when trying to migrate data from disparate sources into a data lake to create financial reports and business insights. Join us to learn how Verizon GTS was able to achieve their business goals while saving money and resources.
Saurin Shah, Microsoft and Saptak Sen, Hortonworks
In this session, we are going to explore how you can create an HDInsight cluster joined to an Active Directory domain, configure a list of employees from the enterprise who can authenticate through Azure Active Directory to log on to HDInsight cluster.
Eric Thorsen, Hortonworks and Deba Chatterjee, Robin Systems
Deploying, right sizing and the ability to meet seasonal peaks without disrupting availability are often seen as difficult challenges in a big data and Hadoop deployment. In this webinar, we will discuss these operational complexities and how to overcome them without adversely impacting the business.
Join experts from Ovum and Hortonworks to learn how to get big data analytics workloads up and running in the cloud immediately, and how it will accelerate your time-to-benefit and maximize your agility in the cloud.
Dave Russell , Solutions Engineering, Hortonworks and Rafael Achaerandio, Open Source Sales & Marketing Director, Microsoft
The emergence of Big Data has driven the need for a new data platform within the enterprise. Apache Hadoop has emerged as the core of that platform and is driving transformative outcomes across every industry. Join this webinar for an overview of the technology, how it fits within the enterprise, and gain insight into some of the key initial use cases that are driving these transformations.
Carter Shanklin, Hortonworks and Josh Klahr, AtScale
BI and Big Data veterans Carter Shanklin, Sr. Director of Product at Hortonworks and Josh Klahr,, VP of Product at AtScale will deliver this interactive session covering insights, real-world experiences, and answering questions from the online audience. They’ll share real customer stories across industries and pain points to bring to life how you can use EDW Optimization today to drive insights across any and all of your enterprise data – quickly, simply, securely, and widely.
Karen Pauli, Strategy Meets Action, Bill Whittemore - Kevin Claybon at Clarity Insights, Cindy Maike, Hortonworks
Every insurance company regardless of line of business is focused on enabling the digital customer experience with the goal of enhanced profitability, lowering costs and creating stronger customer loyalty. However, many are struggling to achieve this goal challenged a history policy and/or product based business models. Additionally, many continue to use a traditional MDM based approach to solve the customer data. During this roundtable-based webinar we will discuss how to look at your customer operational data, big data and third-party customer data differently. The panel will discuss the differences between an analytical approach vs. an operational approach; how best to account for the differences in dynamic vs. static customer data; and what approaches have been most successful in the insurance industry.
Karen Pauli, Principal at Strategy Meets Action
Bill Whittemore, Associate Partner – Insurance and Financial Services at Clarity Insights
Kevin Claybon Principal Consultant at Clarity Insights
Cindy Maike, GM of Insurance Solutions at Hortonworks.
Paige Roberts, Big Data Product Manager, Syncsort Wei Wang, Senior Director, Product Marketing, Hortonworks
Hortonwork’s Hadoop Powered EDW (Enterprise Data Warehouse) Optimization Solution with Syncsort DMX-h enables organizations to liberate data from across the enterprise, quickly create and populate the data lake, and deliver actionable insights.
Customer case studies across a variety of industries will bring to life how organizations are using this solution to gain bigger insights from their enterprise data – securely and cost-effectively – with faster time to time value.
Join our webcast to learn how:
- Lower cost storage for EDW Data
- Lower cost processing of non-critical loads
- Fast BI of full data set
*Spend little or no time on data hygiene and data transformation
*Make data accessible across the enterprise through data usage and collaboration
*Quickly identify what new open data or existing data is most valuable for your risk assessments
*Leverage deep learning on the underwriting and claims processes for a positive impact to your combined ratio
Mark Lochbihler, Channels Partner Engineering, Hortonworks
Improve the efficiency and accelerate job execution by moving traditional SAS workloads into Hadoop to modernize and optimize SAS analytics. How can we run traditional SAS® jobs, including SAS® Workspace Servers, on Hadoop worker nodes? The answer is SAS® Grid Manager for Hadoop, which is integrated with the Hadoop ecosystem to provide resource management, high availability and enterprise scheduling for SAS customers. By moving SAS workloads inside the Hadoop cluster, efficiency is improved and job execution is accelerated. We will also cover the role of Hadoop YARN, Hadoop Distributed File System (HDFS) storage, and Hadoop client services. We review SAS metadata definitions for SAS Grid Manager, SAS® Object Spawner, and SAS® Workspace Servers. By attending this webinar, registrants will receive the accompanying whitepaper that covers this in more detail as presented at SAS Global Forum April 2017.
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.