hadoopsummit

The more systems you have to support, the more complexity, and complexity kills
- Matthew Hunt @instantmatthew - Bloomberg on #theCUBE
#Hadoop

One exciting thing now is the power of consolidation. This only opened up recently. The systems for ticker reporting is different from the systems for historical analytics. They don’t have to be separate any more - Bloombert's Matthew Hunt on #theCUBE

We're seeing more opportunity to consolidate on fewer systems and still deliver breadth of functionality
- Matthew Hunt @instantmatthew - Bloomberg on #theCUBE
#Hadoop

The increasing maturity of frameworks for distributed systems allow more commercial and opensource movement up the stack
- Matthew Hunt @instantmatthew - Bloomberg on #theCUBE
#Hadoop

Spark is a distributed computing platform that unifies a number of different functionalities
- Matthew Hunt @instantmatthew - Bloomberg on #theCUBE
#Hadoop

Bloomberg has nearly 4,000 engineers. We want to abstract as much of the infrastructure complexities away from the developers as possible. -- Matthew Hunt @instantmattheew on #theCUBE

You still need storage and a database and a way to do computation
- Matthew Hunt @instantmatthew - Bloomberg on #theCUBE
#Hadoop

When you have 10,000 machines & they are changing all the time, you need a way to express infrastructure in a repeatable way. Bloomberg's Matthew Hunt @instantmatthew on #theCUBE

All these things are classic enterprise software hardening
- Matthew Hunt @instantmatthew - Bloomberg on #theCUBE
#Hadoop

It's about making things work in production, in reality.
- Matthew Hunt @instantmatthew - Bloomberg on #theCUBE

You can go through a @Docker tutorial in a day.
- Matthew Hunt @instantmatthew - Bloomberg on #theCUBE
#Hadoop

Where all this is heading & how it will come together is much clearer to most people than it was a year ago. Bloomberg's Matthew Hunt @instantmatthew on #theCUBE

"We are seeing an era of innovation here that is like the railroad," John @Furrier on #tueCUBE

Hadoop is clearly growing, Hadoop will clearly be standard., John @Furrier on #theCUBE

@ggilbert41 talking about the lack of solutions. Still opportunities for maturity.

Ultimately we will get to the point where Hadoop is a utility like railroads, like electricity. We need to rationalize all the Apache projects so practitioners can have one platform, not a collection of projects. Wikibon's George Gilbert @ggilbert on #theC

One caution: Learn from others and avoid the severe fragmentation of solutions.

Wandisco has this data fabric. It could be in Hadoop, an RDBMS, EMC storage, & we will make it so you don’t care where it is. Wikibon's George Gilbert @ggilbert on #theCUBE

The relationships are huge. We are seeing people who left early adopters and now are in new startups. It takes a while for these things to go - theCUBE Host Jeff Frick

Too many focus on Amplification vs. Quality in the conversation. #socialmedia

A big question two or three Hadoop Summits ago was when will we see the applications. It feels like we are getting close to that - #theCUBE Host Jeff Frick

Amara's Law:
We tend to overestimate the effect of a technology in the short run and underestimate the effect in the long run.

Enterprise needs a balance of choice: Not 1-size-fits-all, and not fragmented.

At the end of the day, tech is just an enabler. It's about business value.

Yahoo uses it, Google uses it, it works. Let's get past the question of does Hadoop work. - SiliconAngle's Jeff Frick on #theCUBE.

The relational databases may go away, but SQL will still be here. We need full SQL support. Infoobjects CEO Reshi Yadev on #theCUBE.

Big Data projects are multi-year because more and more old stuff is moved to Hadoop and more new analysis are added and insights come from it - Infoobjects CEO Reshi Yadev on #theCUBE.

Data Driven Solutions from@meditativesoul

@JeffFrick Question: Is Spark HANA for the rest of us?

@jefffrick Question: What are some of Infoobjects customers? Is it working with large enterprises?

We enable a business user to interact with the data on #hadoop -@ajayranand on @theCUBE

. @arianagradow these guys at @kyvosinsights have self service BI and it's completely open and massively scalable

. @arianagradow love how OLAP Cube enters the conversation on @theCUBE

In the "new age of data" it's difficult to fit tons of data into an enterprise data warehouse. Hadoop is flexible and can scale. We marry the two. -@ajayranand on @theCUBE

We are breaking the barriers of OLAP scalability with “Cubes on Hadoop” at unprecedented scale. -@ajayranand on @theCUBE

We have the ability to incorporate new data into OLAP Cube and analyze the data in real time -@ajayranand on @KyvosInsights on @theCUBE

. @arianagradow the keyword of business value comes up over and over again; services are leading #bigdata

. @arianagradow identify use cases is first step to help customers sell it thru the company

We get calls from IT guys inviting us in to find use cases & sell them to business leaders -- 2impetustech CEO Praveen Kankariva

Every application is giving us a new use case that we had not thought of - @imputustech CEO Praveen Kankariva.

People want to be liberated from proprietary vendors, and they are predisposed to open source - StreamAnalytix CEO Anand Venugopal on #theCUBE.

Delivering the promise of Big Data is the opportunity of a lifetime for us. Very large companies are comfortable working with us because of the value we can bring - @imputustech CEO Praveen Kankariva on #theCUBE.

Enterprise IT is in an area to differentiate and drive value and revenue not just a cost center

Delivering on the promise of #bigdata for large enterprises is what we do. We view this as a defining opportunity of a lifetime. -@impetustech on #theCUBE

One of the things we are doing with #SQL is that we are trying to integrate with #Spark. It also depends on what customers are doing and what they want to do with the data. - @adrianaZubiri @IBMbigdata

#womenintech @adrianaZubiri on theCUBE at #hadoopsummit

IBM treats Hadoop as totally open & supports all modern data formats. Then we add a strong optimizer, very strong SQL and other services so you can port applications easily -- IBM's Adriana Zubiri on #theCUBE

. @BertLatamore news is breaking that IBM is investing heavily in Spark I'll be broadcasting live on Monday from SF covering this big announcement http://www.bloomberg...

.@Oracle says that they have been working on #SQL on #hadoop for over 37 years says @ggilbert41

one indicator of leadership in #bigdata ia Data Virtualization like startups like Primary Data

Thinking all data will be in one place is naive. People are not going to move the data out of their data warehouses. Some customers have multiple data warehouses from multiple vendors. IBM's Adriana Zubiri on #theCUBE.

Certainly integrating with Spark is the coolest thing we are working on right now - #IBM 's @AdrianaZubiri on #theCUBE

From a geek standpoint, running something on top of a platform it was never intended to run on is pretty cool. That's SQL on Hadoop. #IBM 's @AdrianaZubiri on #theCUBE.

IBM published the first independently audited benchmark of SQL on Hadoop in October, showing we have the fastest implementation. Nobody has challenged that - #IBM 's @AdrianaZubiri on #theCUBE.