EMC at Hadoop Summit San Jose 2016

Erin K. Banks

Portfolio Marketing Director at EMC
Erin K. Banks has been in the IT industry for almost 20 years. She is the Portfolio Marketing Director for Big Data at EMC. Previously she worked at Juniper Networks in Technical Marketing for the Security Business Unit. She has also worked at VMware and EMC as an SE in the Federal Division, focused on Virtualization and Security. She holds both CISSP and CISA accreditations. Erin has a BS in Electrical Engineering and is an author, blogger, and avid runner. You can find her on social media at @Banksek

Once again another Hadoop Summit conference is upon us and this time it is in San Jose and of course we will be attending. We will be in Booth # 703 and we have several sessions, Including a keynote that we hope you will be able to attend. Here is a quick snapshot of the sessions

Hadoop Summit San Jose

Navigating the World of User Data Management and Data Discovery

on June 29th at 11:30 AM

 

Building a Data Analytics PaaS for Smart Cities

on June 29th at 4:10 PM

 

Gaining Richer Insights and Business Outcomes with the EMC Big Data Portfolio (Keynote)

on June 30th at 10:15 AM

 

We also have a 40-minute technical session on June 28th at 2:50 PM in Liffy Hall 1

Increasing Hadoop Resiliency and Performance with EMC Isilon

Isilon is a core platform for EMC Big Data Solutions that improves Hadoop Resiliency, Operations and Performance.  There has been limited analysis on the impact failures (disk, compute, namenode, datanode) have on Hadoop Performance and data driven operations.  Even if you are not an EMC customer today, this lecture will provide valuable insights on why such failures affect Hadoop’s performance and operations and how EMC Isilon better addresses these issues to limit impact of various failure scenarios.

We look forward to seeing you there and don’t forget to tweet with hashtag #HS16SJ

Visit EMC – Exclusive MongoDB Storage Partner @ MongoDB Conference

Erin K. Banks

Portfolio Marketing Director at EMC
Erin K. Banks has been in the IT industry for almost 20 years. She is the Portfolio Marketing Director for Big Data at EMC. Previously she worked at Juniper Networks in Technical Marketing for the Security Business Unit. She has also worked at VMware and EMC as an SE in the Federal Division, focused on Virtualization and Security. She holds both CISSP and CISA accreditations. Erin has a BS in Electrical Engineering and is an author, blogger, and avid runner. You can find her on social media at @Banksek

EMC Storage - MongoDB
On June 28 – 29, 2016 EMC, we will be at the MongoDB conference and on the expo floor in Booth #3. This year we will be focusing on “Modernize and Innovate” and will have a great session that you we hope you can attend. We will have a

45 minute – Lunch and Learn on June 29 @ 1240 – 1410

Title: Modernize to Innovate, Operating Infrastructure at Scale.

Abstract: MongoDB is the next generation database allowing you to build modern applications.  However, managing the underlying infrastructure as you attempt to scale presents a daunting challenge.  Modernizing your storage architecture by leveraging flash, software defined storage, converged infrastructure, and rack scale systems, companies can ensure they drive high efficiencies and gain the most agility for their MongoDB applications.  In this session we will go into detail around this strategy and highlight a few customer use-cases.

As the Exclusive Strategic Storage Partner of MongoDB we are truly excited to have this opportunity to show you our portfolio and ways that it helps you modernize and innovate.

Don’t forget to tweet using the #MDBW16 hashtag

 

Strata+Hadoop London 2016

Erin K. Banks

Portfolio Marketing Director at EMC
Erin K. Banks has been in the IT industry for almost 20 years. She is the Portfolio Marketing Director for Big Data at EMC. Previously she worked at Juniper Networks in Technical Marketing for the Security Business Unit. She has also worked at VMware and EMC as an SE in the Federal Division, focused on Virtualization and Security. She holds both CISSP and CISA accreditations. Erin has a BS in Electrical Engineering and is an author, blogger, and avid runner. You can find her on social media at @Banksek

London here we come… starting June 1 through June 3, we will be at the SOLD OUT Strata+Hadoop World at ExCel LondonSHW london banner

We will be in stand #408 over the three days and on Tuesday, June 2 at 1455, Sebastian Darrington, CTO for Big Data and Analytics in EMEA will be presenting “Developing a Successful Big Data Strategy”. This session will take place in Capital Suite 7 and here is an abstract for the session:

Many businesses have undertaken Big Data projects, but for every successful project, there are dozens that have failed or have stagnated. Customers are realizing they need to understand both the business outcomes and technology in order to target their goals more accurately. They need to tackle the challenges of Hadoop at scale, the maturity of the organization, and how it affects their strategy. Whether you are an innovator, a late adopter, or somewhere in between, join us as we explore the reasons why such projects hit obstacles, what typical challenges are experienced, and how to overcome them along your own Big Data journey.SHW London booth

If you want more information on this conference, check out our ECN page for this conference

 

 

Big Data Conversation with Splunk

Erin K. Banks

Portfolio Marketing Director at EMC
Erin K. Banks has been in the IT industry for almost 20 years. She is the Portfolio Marketing Director for Big Data at EMC. Previously she worked at Juniper Networks in Technical Marketing for the Security Business Unit. She has also worked at VMware and EMC as an SE in the Federal Division, focused on Virtualization and Security. She holds both CISSP and CISA accreditations. Erin has a BS in Electrical Engineering and is an author, blogger, and avid runner. You can find her on social media at @Banksek

I had the opportunity to talk with Jon Rooney, Senior Director, IT Solutions Marketing, from Splunk a couple of weeks ago. It was a great chance for me to know more about Splunk and of course I had to ask him his thoughts on Big Data. He was kind enough to allow our conversation to be a part of my Big Data Conversation series. Splunk

A little background about Splunk though Jon’s voice… Splunk helps you make sense of machine data and machine data is the largest and fastest growing component of Big Data. The most under used data comes from the massive amounts of data from applications, devices, servers, network end points and are often under-used because of how difficult is can be to capture, store and analyze using outdated. Our Big Data story is about real-time machine data. We keep your systems up and running and we keep you more secure.

 

EB: How does your company define Big Data?

JR: Splunk wouldn’t define it differently then anyone else. We believe that the jumping off point to Big Data is volume, velocity, and variety. All the data that is too unwieldy to put in to traditional databases and is difficult to keep up with.  The business press would discuss Big Data with Hadoop and state it was all about dumping together all your e-commerce and company transactions, and develop sentiment analysis about what people wrote on Twitter and product reviews. This is the human generated part of Big Data but the machine generated part of Big Data is actually the bigger portion of that and the harder to manage at scale. If you look at what people were doing with that data like pattern recognition, you can do that through batch but we focus on real-time data. Yes, we have that historical piece but It is much more valuable to do while it is happening then doing it post-mortem which is the traditional way of doing it.

 

EB: Do you feel the majority of organizations associate Big Data with Hadoop?

JR: I don’t think our customers do but the broader business and tech media, in the past 6 – 8 years, use “how does Amazon know what to recommend you” and “how does the CDC know that there are flu infections based on what they see on twitter”. Those are examples that ground Big Data vs “how do you look at millions of transactions through an API end point to see response time”. These are also Big Data examples and what Splunk does.

 

EB: How do you see Big Data changing in the future?

JR: People over time, as it becomes normalized, will see the scale of “big” change. The goalpost on what “big” means will move. People will remove the requirement that it is Big Data if you can’t cleanly fit in to a relationship database. Right now if you have to put it in to a NoSQL database, it is Big Data but that is not necessarily true. Right now there is a tight coupling between NoSQL databases and Big Data and I think that will change just as architectures change. You need to have the solution fit your architecture better and not because it handles petabytes of data. It now becomes another storage strategy that isn’t solely driven by volume, velocity, and variety. There are other architectural considerations that can help you make a decision.

 

EB: What is the biggest myth about Big Data?

JR:There are a lot. One of them is that not many people have figured it out and that there are only a handful of businesses that are driven by Big Data. There is the myth that people over estimate the sophistication of analysis done in Big Data, everyone thinks that everyone is doing what Amazon is doing when instead people are doing simple correlations.

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