Sponsor: Hortonworks

Big Data Analytics and Data Science: Is Your Organization Ready for the Deluge?

The growth in the amount of data – from social media, streamed video, and unstructured documents – is a boon for storage vendors. But this assault is just beginning – IDC predicts that by 2020 there will be 20 billion new internet of things (IoT) devices globally, each sending data to be gathered, stored and analyzed.

But why move data into a monolithic lake when you can process it where it’s created?

In an age where everyone makes data-driven decisions, what should you be doing now to prepare for the analytics and data science demands your users will make?

That’s what we’re talking about today with Syed Mahmood, Director of Product Management for Data Science at Hortonworks.

  • Which data sources matter most – today and in the future
  • How to survive the expected shortage of data scientists
  • Why bringing analytics and models ‘to the edge’ enhances efficiency
  • How to reconcile data scientists’ growing need for self-service with governance mandates
  • What data governance and security impacts the data deluge will create

Bio: Vinay Shukla is the Director of Product Management for Data Science, Spark & Zeppelin at Hortonworks. Previously, Vinay has worked as Developer and Security Architect. Vinay has been a frequent speaker at many conferences including Hadoop Summit, Strata Hadoop, Apache Big Data, JavaOne, and Oracle World. Vinay enjoys being on a Yoga mat or on a hiking trail. You can follow his blog at http://www.vinayshukla.com/

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Digital Transformation and Data Management: What Developers and IT Need to Know

Businesses of every size are challenged by the demand for ‘digital transformation’. As business units increasingly expect a consumer-like experience from internal IT, integrating on-premises infrastructure with agile cloud environments presents serious data management challenges. DX is a process, not a single project, and that’s where many challenges lie. And that’s what we’re going to talk about today, with me is Piet Loubser, VP Product and Solutions Marketing at Hortonworks.

  • How to manage multi-cloud environments
  • The need for enterprise-wide commitment
  • Mobility and digital transformation
  • Transforming products, processes and the customer experience
  • Digital transformation for the Dev Team: Cloud, DevOps and the agile data environment

Bio: Piet Loubser serves as Vice President of Product and Solutions Marketing at Hortonworks where he is responsible for the positioning and GTM of the entire Hortonworks product and solution portfolio. His professional career includes more than 30 years in the Hi-Tech industry driving product, market and business development strategies in numerous companies transforming technology vision and GTM to accelerate growth. Prior to Hortonworks, Piet held executive leadership positions in marketing and sales at Informatica, HP, SAP and Business Objects. During his time at Business Objects and Informatica he was part of the leadership team that drove the strategies to grow and scale the companies growing from mid-size into market leaders with more a $1bn in annual revenues. Piet holds a B.S. degree in computer science and applied mathematics from the University of Stellenbosch in South Africa.

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Real-Time Security: Managing Governance and Security In the Big Data Age

Organizations struggle to manage the increasing amount of data, driven by demands for better analytics, social media sentiment, and streaming data flooding the enterprise. In our increasingly hybrid IT environment, with workloads shifting from on-premises to the cloud and back, the need for solid data governance and security is greater than ever, as evidenced by recent breaches such as the recent Equifax fiasco.

What factors are impacting governance and security, and how can you ensure your organization’s data doesn’t end up in the wrong hands – or the 6 o’clock news?

Register for this TechBytes series presented by Slashdot Media and sponsored by Hortonworks to hear industry expert Srikanth Venkat discuss how we arrived here, and what every business can do to improve its governance and security profile.

Viewers will learn:

  • Why traditional solutions can’t keep up with data in motion OR at rest
  • How metadata, lineage, and access all impact governance and security
  • Where digital transformation helps, and where it’s part of the problem
  • How to apply data science and business dynamics at scale to drive innovation
  • Why managing an expanding attack surface has become a big data challenge

Don’t hesitate, register now for this complimentary TechBytes series, and help ensure regulatory, security and governance challenges don’t sidetrack your business’ IT goals.

Bio: Srikanth Venkat is currently Senior Director of Product Management at Hortonworks where he heads Security & Governance portfolio of products. Srikanth is passionate about AI technologies especially as they pertain to Big Data and automated learning systems. Prior to Hortonworks, he has held multiple leadership roles in Product Management, Strategy & Planning as well as Technology Architecture across many global organizations including Telefonica Group, Cisco-Webex, Salesforce.com, Proofpoint Inc. and Hewlett-Packard. He holds a PhD in Engineering, MBA and Masters in Global Management.

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Data Architecture Optimization

Hortonworks Data Platform (HDP®), built on Hadoop, offers the ability to capture all structured and emerging types of data, keep it longer, and apply traditional and new analytic engines to drive business value, all in an economically feasible fashion. In particular, organizations are breathing new life into Enterprise Data Warehouse (EDW)-centric data architectures by integrating HDP to take advantage of its capabilities and economics. Download our whitepaper to learn more about the benefits of an optimized data architecture.
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How Big Data in the Cloud Drives the Connected Data Architecture

More and more companies are taking the journey to become truly data-driven — a smart, strategic shift for the future. But this journey presents some unique challenges. The high costs and resulting inflexibility of moving large computing infrastructures online has sparked interest in how cloud computing may alleviate some of the hurdles faced by today’s organizations in leveraging Big Data. Download our whitepaper to see how your organization can best leverage big data.
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Maximize Big Data in the Cloud

Today’s modern enterprise has options when it comes to computing: on-premises and in the cloud. Each has its own unique benefits. However, when it comes to Apache Hadoop, deploying it in the cloud offers additional benefits. Download our whitepaper to see how Apache Hadoop's cloud computing can help your organization.

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Scaling Your Organization With the Cloud

No matter your organization's size or type, data is your most valuable asset. As you continue to store and analyze customer and company data, on-premises deployment solution is no longer a cost-effective or scalable option.

Historically, organizations have used physical hardware to run programs or store data. Today, the information age has evolved into cloud computing as the preferred modern IT solution. To better understand how cloud computing can help your organization, download our whitepaper to learn more.

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