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Dataworks Summit US 2017: June 13-14 (San Jose, CA)

Dataworks Summit US 2017 (Formerly Hadoop Summit)

Dataworks Summit US 2017
June 13-14 2017
San Jose, CA

Register 

“DataWorks Summit with Hadoop Summit is the premier event for business and technical audiences who want to learn how data is transforming business and the underlying technologies that are driving that change.”
 

Official Event Page

Event Details:

    • Date: June 13th – June 15th 2017
    • San Francisco, CA

 

Check Out theCUBE’s Coverage of Dataworks/Hadoop Summit Events From 2016:


Guests Interviewed on theCUBE


Itamar Ankorian
CMO, Attunity

If streaming data’s breaking up databases, what can put them together?
As pretty as it sounds, “streaming data” in an actual database is not the elegant, unbroken chain that data scientists and developers wish it were, according to Itamar Ankorion, chief marketing officer at Attunity Inc. Read the full blog post with highlights from his interview at SiliconANGLE.com.


Nadeem Ashghar
Field CTO and Global Head Technical Alliances/Partner Engineering, Hortonworks

IBM-Hortonworks partnership focuses on machine learning
In an industry where collaboration provides the strength to grow, Hortonworks Inc. and IBM are ramping up their partnership by aggregating Hortonworks Data Platform with the IBM Data Science Experience to create new integrated solutions that will advance both companies’ technology agendas in their core areas of expertise. Read the full blog post with highlights from his interview at SiliconANGLE.com.


Rob Bearden
CEO, Hortonworks

Data science is the issue, not Hadoop, says expert
Apache Hadoop, the open-source-based software used for storing, processing and analyzing big data, has taken its share of lumps over the past year based on its integration complexity and concerns about data governance. Yet, the news that IBM Corp. and Hortonworks Inc. will be teaming up to infuse combined data management platforms with machine learning and artificial intelligence shows that these two major players aren’t backing away from Hadoop at all. In fact, they appear to be doubling down on the beleaguered distributed computing technology. Read the full blog post with highlights from his interview at SiliconANGLE.com.


Jeff Bettencourt
SVP Marketing, DataTorrent

Are instant, big data apps ready for primetime?
Docker Inc. made its container technology for distributed software applications an overnight hit by putting an easy button on them. Can DataTorrent Inc., founded by Yahoo engineers, do the same for analytics? Read the full blog post with highlights from his interview at SiliconANGLE.com.


Ron Bodkin
VP & GM, Artificial Intelligence, Teradata

Teradata’s challenge: How to get value from deep learning results
It’s one thing to apply deep learning and artificial intelligence tools to data. It’s another to realize meaningful results that can make a real difference in your business. Teradata Corp. is seeking to address the value proposition by focusing on use cases and solutions that get to the core of a company’s mission and customers. Read the full blog post with highlights from his interview at SiliconANGLE.com.


Alex Chen
Director, File & Object Storage, IBM

IBM-Hortonworks partnership focuses on machine learning
In an industry where collaboration provides the strength to grow, Hortonworks Inc. and IBM are ramping up their partnership by aggregating Hortonworks Data Platform with the IBM Data Science Experience to create new integrated solutions that will advance both companies’ technology agendas in their core areas of expertise. Read the full blog post with highlights from his interview at SiliconANGLE.com.


George Chow
Technology Fellow, Simba Technologies

Does counting milliseconds in streaming data make a difference in business?
Counting milliseconds in streaming data latency may not seem thrilling at first, but software developers ought to pay attention to the use cases ‘event-by-event streaming’ enables, according to George Chow, senior director of technology at Simba Technologies Inc., a Magnitude Software Company. Read the full blog post with highlights from his interview at SiliconANGLE.com.


Jamie Engesser
VP Product Management, Hortonworks

Will IBM-Hortonworks deal help telcos stop the churn?
A big problem among telecom companies today is churn, subscribers who leave a particular service provider and move to another. Understanding why customers leave and how to reduce churn is a major goal for any firm in the telecom space. And that’s why a recently announced partnership between IBM Corp. and Hortonworks Inc. is raising hopes that a solution may finally be at hand. Read the full blog post with highlights from his interview at SiliconANGLE.com.


Scott Gnau
CTO, Hortonworks

Modernizing data infrastructure: Hortonworks and Syncsort partner to unlock legacy system data
It’s a year and a half into the partnership between Hortonworks Inc. and Syncsort Inc. that is centered around modernizing legacy data stores and infrastructure. The results so far? The synergy between Syncsort’s high-performance data integration and Hortonworks’ modern data architecture solutions is creating a seamless experience for their common customers, according to Chief Technology Officers from both companies. Read the full blog post with highlights from his interview at SiliconANGLE.com.

Open collaboration key for data science to mature into a technology
As data analytics matures from a science into a technology, companies are shifting their focus toward making products out of the advanced models generated by their data science organizations. Hortonworks Inc., a company known for supporting Apache Hadoop, with its open data management platform, is focused on turning data models into products, according to Scott Gnau, chief technology officer of Hortonworks. Read the full blog post with highlights from his interview at SiliconANGLE.com.


Joe Goldberg
Innovation Evangelist, BMC Software

BMC evolves ‘jobs-as-code’ approach to building and running automation
Building applications is a complex business. Deploying them is even more so, because there are just too many variables and interactions to consider. Because of this, companies need automation to streamline their tech pipelines. Read the full blog post with highlights from his interview at SiliconANGLE.com.


David Hseih
CMO, Qubole

Complexity is killing big data, says Qubole
Enterprises answering complex big data problems with similarly complex software “solutions” are burying themselves deeper in the weeds, according to David Hseih, senior vice president of marketing at Qubole Inc. Read the full blog post with highlights from his interview at SiliconANGLE.com.


Josh Klahr
VP Product, AtScale

AtScale’s work with GoDaddy yields interesting BI results
When AtScale Inc. released its “Hadoop Maturity Survey” in 2015, some industry observers were surprised that business intelligence had become the number one workload on the open source platform for big data management, Hadoop (in front of data science), given the problems of scaling information technology solutions. But a customer partnership between AtScale and GoDaddy Inc., fostered by two executives who formerly worked together at Yahoo, is showing promising results in solving a thorny problem: how to do BI effectively on a massive big data platform. Read the full blog post with highlights from his interview at SiliconANGLE.com.


Madhu Kochar
VP, Analytics Product Development & Client Success, IBM

Will IBM-Hortonworks deal help telcos stop the churn?
A big problem among telecom companies today is churn, subscribers who leave a particular service provider and move to another. Understanding why customers leave and how to reduce churn is a major goal for any firm in the telecom space. And that’s why a recently announced partnership between IBM Corp. and Hortonworks Inc. is raising hopes that a solution may finally be at hand. Read the full blog post with highlights from her interview at SiliconANGLE.com.


David Lyle
VP, Business Transformation Services, Informatica

Applying artificial intelligence to metadata opens new business insights
Every modern company collects data, and some collect quite a lot. However, that data is useless if no one can find it. Likewise, drawing out the most powerful insights requires a context for that data. This is the function of metadata, the data about data. Applying artificial intelligence to metadata gives computers the power to do what they do best in processing data, according to David Lyle, vice president of business transformation services at Informatica Corp. Read the full blog post with highlights from his interview at SiliconANGLE.com.


Asad Mahmood
Analytics Cloud Solutions Specialist, Federal Healthcare at IBM

Data centers under pressure: IBM partners to find chip solutions
The massive rise in business-critical information flowing through information technology systems today has put enormous pressure on enterprise data centers to keep up with demand. With chips finally reaching physical limitations in processing power and no longer governed by Moore’s law, companies such as IBM Corp. are increasingly joining forces with other industry leaders to find new solutions. Read the full blog post with highlights from his interview at SiliconANGLE.com.


Arun Murthy
Founder & VP Engineering, Hortonworks

Drowning in the data lake, companies seek out predictive analytics tools
Whether it’s shopping for a pair of shoes or running a large multi-tier data center, everyone is looking for value. The increasing complexity involved in managing the vast store of raw data, the data lake, has information technology executives looking for tools that can perform predictive analytics accurately and rapidly while making a real contribution to the bottom line. Read the full blog post with highlights from his interview at SiliconANGLE.com.


Prashanthi Paty
Data Engineering, GoDaddy/h4>

AtScale’s work with GoDaddy yields interesting BI results
When AtScale Inc. released its “Hadoop Maturity Survey” in 2015, some industry observers were surprised that business intelligence had become the number one workload on the open source platform for big data management, Hadoop (in front of data science), given the problems of scaling information technology solutions. But a customer partnership between AtScale and GoDaddy Inc., fostered by two executives who formerly worked together at Yahoo, is showing promising results in solving a thorny problem: how to do BI effectively on a massive big data platform. Read the full blog post with highlights from her interview at SiliconANGLE.com.


Donna Prlich
Sr. VP of Products & Solutions, Pentaho

Use cases, easing data complexity driving tech, says Pentaho CPO
One thing is clear in the age of digital transformation: It’s all about business outcomes. Regardless of the type of technology, the industry as a whole is now revolutionizing businesses one use case at a time. And a primary goal in the digital world is to ease data complexity to get to those outcomes more quickly. Read the full blog post with highlights from her interview at SiliconANGLE.com.


Sri Raghavan
Senior Global Marketing Leader, Teradata

More ways to misread customers: the problem with more data for marketers
Why are marketing conversion rates stuck at one percent despite increasing customer touchpoints and analysis tools? Read the full blog post with highlights from his interview at SiliconANGLE.com.


Arvind Rajagopalan
Director – Global Technology Services at Verizon

If streaming data’s breaking up databases, what can put them together?
As pretty as it sounds, “streaming data” in an actual database is not the elegant, unbroken chain that data scientists and developers wish it were, according to Itamar Ankorion, chief marketing officer at Attunity Inc. Read the full blog post with highlights from his interview at SiliconANGLE.com.


Bill Schmarzo
CTO Dell EMC Services Big Data, EMC

Data’s value? It’s all about the end game, says Dean of Big Data
Most of us have heard about the “three V’s” of data: volume, variety and velocity. Yet there’s a fourth “V” that is getting plenty of attention these days, especially in the C-suite: value. This is leading one particular executive at Dell EMC to encourage others in the enterprise computing world to think about the value of data in different ways. Read the full blog post with highlights from his interview at SiliconANGLE.com.


Rob Thomas
VP & GM, IBM Analytics

Data science is the issue, not Hadoop, says expert
Apache Hadoop, the open-source-based software used for storing, processing and analyzing big data, has taken its share of lumps over the past year based on its integration complexity and concerns about data governance. Yet, the news that IBM Corp. and Hortonworks Inc. will be teaming up to infuse combined data management platforms with machine learning and artificial intelligence shows that these two major players aren’t backing away from Hadoop at all. In fact, they appear to be doubling down on the beleaguered distributed computing technology. Read the full blog post with highlights from his interview at SiliconANGLE.com.


Nathan Trueblood
Vice President of Product Management, DataTorrent

Are instant, big data apps ready for primetime?
Docker Inc. made its container technology for distributed software applications an overnight hit by putting an easy button on them. Can DataTorrent Inc., founded by Yahoo engineers, do the same for analytics? Read the full blog post with highlights from his interview at SiliconANGLE.com.


Raj Verma
President & COO, Hortonworks

Hortonworks views open-source as key to world’s data management
It’s been 10 years since Apache Hadoop, open-source-based software used for storing, processing and analyzing big data, was brought into the technology picture. And executives at Hortonworks Inc. are increasingly focused on a single word to describe both its success and long-term mission: community. Read the full blog post with highlights from his interview at SiliconANGLE.com.


Linton Ward
Distinguished Engineer, Power Systems OpenPOWER Solutions, IBM

Data centers under pressure: IBM partners to find chip solutions
The massive rise in business-critical information flowing through information technology systems today has put enormous pressure on enterprise data centers to keep up with demand. With chips finally reaching physical limitations in processing power and no longer governed by Moore’s law, companies such as IBM Corp. are increasingly joining forces with other industry leaders to find new solutions. Read the full blog post with highlights from her interview at SiliconANGLE.com.


Tendü Yogurtçu
CTO, Syncsort

Modernizing data infrastructure: Hortonworks and Syncsort partner to unlock legacy system data
It’s a year and a half into the partnership between Hortonworks Inc. and Syncsort Inc. that is centered around modernizing legacy data stores and infrastructure. The results so far? The synergy between Syncsort’s high-performance data integration and Hortonworks’ modern data architecture solutions is creating a seamless experience for their common customers, according to Chief Technology Officers from both companies. Read the full blog post with highlights from her interview at SiliconANGLE.com.


 

 

For More Information : Contact theCUBE

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