StrataHadoop

. @JimMcHugh #1 issue not being talked about here

Big - it is part of the governance conversation. HIPAA, PII, financial privacy regulations, etc. Its part of the deal.

I think security goes hand in hand with data quality. HUGE as the Donald would say...

It's key to unlocking the next wave of use case adoption. There are many many financial services-focused use cases that would benefit hugely (read "compliance monitoring") that require security to enable

@RexBackman Yes security is HUUUUGGGE

With all the recent hacks in the news, its definitely important. The way to avoid missing something is to have a single pane of view of security across all the stack. See recent HWX white paper: http://hortonworks.c...

very important ! #splunk 6.3 ships with data integrity checks at scale.

security is critical - which is why many CISOs trust Splunk. Nice write-up on audit features, encryption, role-based access, etc. here: http://docs.splunk.c...

@RexBackman @JimMchugh yep - govenance and data security are key issues as #Hadoop in the enterprise continues to extend beyond initial use cases to production deployment

the age old dilemma: huge for IT, a nuisance for developers. Security at scale is a major headache, and a lack of a central security model/service in Hadoop that new execution engines can subscribe to is yet another market oppty. early days

So important that someone needs to ask how the #Hadoop security interoperates with existing enterprise security. Seems like the community diverging on this one. Thoughts?

HWX is also helping foster community around OpenSOC to rapidly detect and respond to advanced security threats: http://hortonworks.c...

Scalability, management, and performance, as well as being able to communicate use cases and ways to make benefits come out of the often-formidable investment in a timely manner.

Also what about "machine learning" washing.. how do you tell which vendor has the "real deal"?

integration for a full solution offering

"Benefits" = Solving business problems. That is the key. Quicker to solve affords the company advantages in the market.

I think a vendor who can bring a useful story to a customer showing how their tech will help the customer... is how you get through ML-washing and BD-washing and so forth. Infra and software solutions together make a big difference there.

Removing barriers to adoption will enable a win for everyone. That can be delivered through packaged services offerings, joint solutions with integrators and ISVs, proprietary components around the edge of the open core, or all of the above

@furrier, it comes down who can iterate fast, develop and test new algorithms and generate business value. Canned machine learning algorithms rarely work out of box for the real problems.

look for the guys with lots of committers ;) https://hadoop.apach...

the basic functions of Hadoop (data ingest, storage, mgmt) may be commoditizing, but the execution engines and programming models are still evolving rapidly and offer good chances to differentiate

@abajwa_hdp Also look for the people with lots of technological differentiation and improvement. Number of committers isn't an independent metric :)

By showcasing how enterprises of all sizes are generating value faster, with lower level of skills and cost than ever before. There is a lot of differentiation in the glue between the different ecosystem products.

Spark will turbo charge Hadoop ecosystem and make Hadoop invisible but relevant

for this year it's number 1

Agree with Jim here

supercharge hadoop! many people are more excited about how they work together.

Perceptions of Spark rendering Hadoop obsolete seem off-base to me

Invisible Hadoop is the panacea for a true unified data engine and Spark is leading the way to make it a realty

Spark may make MapReduce less popular/critical, but remember, we still have companies making a living selling Usenet access. And people still use AIX and HP/UX in production :)

Spark supercharges Hadoop, not replacing it. Spark could make MapReduce not as important. http://www.forbes.co...

#ApacheSpark will supercharge the ever fluid Hadoop ecosystem, will make few of the ecosystem products irrelevant (it's been happening even before Spark), will unlock new analytics value from other products (e.g. noSQL). So true dat! to the top 3

Big Data Analytics require a robust data store, capable of running different workloads. The underlying data infra running on Spark or MR, on a hardened, scalable & agile platform will be the key.

I'm looking forward to seeing what Flink and some of the other new bits are going to do in the ecosystem.

Spark will supercharge Hadoop ecosystem! As an example see how it integrates with hadoop components like: Hive, ORC and Phoenix http://hortonworks.c... https://gist.github....

Spark has really streamlined Platfora's data prep engine. We just released our 5.0 revision, which is Spark-driven - Spark enables more insight, earlier in the workflow. Better for end users, but MapReduce is still needed to do the heavy lifting

love open source model for content!!!

so do we!

Still wishing we were in person at a bar ...

@friea same same

welcome aboard

this is why the vendor community needs more than hype - solutions with outcomes driving decisions

It's hard to accurately measure ROI on big data use cases. Solutions that are obviously strategic and/or clearly remove a huge chunk of cost are moving forward without formal ROIs

We held our annual Customer Advisory Board mtg yesterday. Astonishing breadth and depth of use cases on Platfora. All strategic, and no one (that I know of) has formally measured ROI post-deployment

Yikes! Enterprise Management Associates (EMA) did a study of Splunk customers and consistently saw a return on investment of 200 percent or more in year #1 http://www.splunk.co...

last week at #splunkconf end users from well over 100 organizations - @CiscoIT Target Sony MetLife FINRA TIAA-CREF Comcast & Bechtel to name a few - led sessions sharing use cases, business value & best practices https://conf.splunk....

Faster business insights => Better ROI. Accelerate insights with a industry leading, proven and validated Cisco's UCS Integrated Infrastructure for Big Data. For more details http://www.cisco.com...

Welcome to NYC and Strata, Team @splunk. What's Splunk doing these days?

Splunk & Cisco have taking our partnership to a new level - awesome 6.3 on #CiscoUCS performance benchmarks, a new CVD, joint solutions, new integrations & more.

the recent benchmark results on #CiscoUCS was impressive ;) http://blogs.cisco.c...

I'm a big fan of @JimMchugh's video on 6x performance with Splunk 6.3 on #CiscoUCS https://vimeo.com/13... .... @raghu_nambiar did a great job on @theCUBE too https://www.youtube....

@ReneeYao1 #Splunk 6x search performance on #CiscoUCS !

Raghu nailed it on @theCUBE on his unified end to end story - Cisco has the edge secured :-)

@furrier you have to admit my walk-on paparazzi role on @theCUBE made it that much more awesome ... ;)

@wissamaa UP TO 6x search performance. :)

That was definitely cool.