September Starts Strata + Hadoop World NYC
Strata + Hadoop World in NYC, set for the end of September, is quickly coming up. The Strata + Hadoop World Conference is a unique experience that helps attendees tap into the opportunity that big data presents. Hadoop, an open-source software framework for storing and processing big data, has become so popular because its unique architecture enables organizations to gain new analytic insights and operational efficiencies through the use of multiple-standard, low-cost, high-speed, parallel processing nodes operating on very large sets of data. Attending Strata + Hadoop World can help attendees learn how to leverage their data assets across industries and disciplines, and put that data into real business applications.
The use of Hadoop accomplishes two goals: massive data storage and faster processing of that data. Yet Big Data security was not a primary goal in the design of Hadoop.
Traditional IT security controls should be put in place as the basis for securing Hadoop, such as standard perimeter protection of the computing environment and monitoring user and network activity with log management. But even in the most tightly controlled computing environments, infrastructure protection by itself cannot protect an organization from cyberattacks and data breaches.
Best practices for securing Hadoop includes taking a data-centric security approach, which allows for de-identifying the data as close to its source as possible. With data-centric security, sensitive field-level data elements are replaced with usable, yet de-identified, equivalents that retain their format, behavior, and meaning. This means you modify only the sensitive data elements so they are no longer real values – and thus are no longer sensitive – but they still look like legitimate data.
HPE Security at Strata + Hadoop World NYC
Strata + Hadoop World NYC is a great place to gain knowledge on data security strategies for all your Hadoop and Big Data projects. This year, HPE is a Zettabyte sponsor and will be at Booth #319, and HPE Security – Data Security, an Exabyte Sponsor, will be at Booth #412. Strata + Hadoop World has over 200 sessions covering all aspects of data. Here are two you won’t want to miss:
Trusted IoT and big data ecosystems
Reiner Kappenberger (HPE Security – Data Security)
Time: 2:05pm–2:45pm, Wednesday, September 28, 2016
Location: 1 E 14
Reiner Kappenberger explores the new standards and innovations enabling architects and developers to take a “build it in” approach to security in early design phases for big data and IoT systems, explaining why emerging technologies such as format-preserving encryption are rapidly delivering more trusted big data and IoT ecosystems without altering application behavior or device functionality.
A new “Sparkitecture” for modernizing your data warehouse
Jack Gudenkauf (Hewlett Packard Enterprise)
Time: 1:15pm–1:55pm Wednesday, September 28, 2016
Location: 1B 03/04
Jack Gudenkauf explores how organizations have successfully deployed tiered hyperscale architecture for real-time streaming with Spark, Kafka, Hadoop, and Vertica and discusses how advancements in hardware technologies such as nonvolatile memory, SSDs, and accelerators are changing the role of big data and big analytics platforms in an overall enterprise-data-platform strategy.
Short on time while at Strata + Hadoop world? Stop by the HPE Booth #319 for our 10-minnute data security theatre sessions:
Big Data Security Challenges
Security for data at rest ensures that data is protected when it is present on the disk. But security at rest does not protect you when data is flowing across such systems, or when data is in use for analytics and business processes. Data lakes are becoming very popular these days. End-to-end data protection comes to the rescue to ensure compliance with industry guidelines.
Enable Secure Data Sharing and Analytics in Hadoop with 5 Key Steps
In the past, cyber-attackers had to search for high-value information across a wide range of systems. But now with centralized data, hackers can focus on a known, single target. Even when key information is secured in the organization there is still a high risk that sensitive information can be re-identified by utilizing multiple data sets. Learn how to protect big data in Hadoop and understand how protecting the information is possible without removing the benefits, or paying a performance penalty.
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