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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Apache Hadoop technology is transforming the economics and dynamics of big data initiatives by supporting new processes and architectures that can help cut costs, increase revenue and create competitive advantage. An effective big data integration solution delivers simplicity, speed, scalability, functionality and governance to produce consumable data. To cut through this misinformation and develop an adoption plan for your Hadoop big data project, you must follow a best practices approach that takes into account emerging technologies, scalability requirements, and current resources and skill levels.

Read the white paper and learn:

  • Three important guidelines to follow when optimizing big data integration workloads
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  • Five fundamental big data integration best practices

Help your organization minimize risks and costs and maximize ROI for your Hadoop projects.

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IBM Db2 Hosted offers the same functionality as its on-premises equivalent, and is powered by the secure, high-performance IBM Cloud.

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