Gartner predicts 70% of big data projects will fail due to lack of skills and integration challenges, yet new results from a survey by Dimensional Research show IT confidence in achieving big data success is 87%. In this webinar David Gehringer from Dimensional Research and David Hsieh from Qubole will discuss the survey results that illuminate big data reality gap and discuss pragmatic actions you can take to avoid becoming part of this alarming trend.
Take a Deep Dive into the Results with David and David
Sixty-five percent of IT teams recognize that to get to ubiquitous access to data and analytics, they need to enable a self-service DataOps approach. And most respondents — 87 percent — felt confident to extremely confident that they could deliver self-service analytics. Yet, respondents characterized their big data processes as still in the earliest stages of maturity: only 8 percent of respondents consider their big data initiatives to be fully mature.
Don’t miss this unique opportunity to understand where your company sits compared to others on the Big Data Maturity Model.
Sr. Vice President, Marketing at Qubole, David has more than two decades of experience with Software-as-a-Service, cloud and data warehouse technologies, and most recently served as vice president of marketing at Instart Logic. He also held executive marketing positions with Ubiquiti Networks, Cisco, Webex Communications, Inc. and Sybase, and successfully helped lead both LBMS and Ubiquiti Networks through their IPO processes. In his role as senior vice president of marketing, Hsieh heads Qubole’s brand and marketing strategy, as well as lead generation and sales enablement. Hsieh has a Bachelor’s degree in Fine Arts from Northwestern University.
David brings 15 years of marketing and product management experience to Dimensional Research. David is recognized as a technology industry leader who has consistently demonstrated that fact-based decisions drive revenue and success more reliably than a lucky guess. David’s expertise is in conducting and using research to identify target rich markets, perfect positioning and messaging, and optimize sales models for successful products and services. Before joining Dimensional Research, David held key leadership positions in technology companies. Most recently, David served as Vice President of Marketing at Fanfare where he created and led the market for test automation. Prior to Fanfare, David was Vice President of Marketing at Actional Corporation, a leading provider of Web services management software. He drove Actional’s product and marketing strategy, which resulted in Actional’s acquisition by Progress Software in 2006. Before Actional, David held various international marketing and product management positions at Mercury Interactive. David began his career in the game industry working for Sierra Online in product and brand management roles. David holds BS degrees in both mechanical and aeronautical engineering from University of California, Davis.
Qubole is a significantly more polished product than EMR. Data scientists can explore their data in S3, create tables and query those tables all via an easy-to-use web UI
Qubole’s fantastic support has been key in our successful deployment. They continue to deliver of new features and revisit the ones that we ask for
Our goal at MediaMath was to take our existing industry leading infrastructure to the next level handling new complex analytics tasks. Qubole has helped us enable this goal with minimal risk.
Instead of worrying about provisioning clusters of machines or job flows or whatever, Qubole lets you focus on your data and your queries … The Qubole guys have been extremely helpful!
The service spins up users’ clusters only when a job is started, then automatically scales or contracts them based on the workload, and spins the servers down once the job is done.
Qubole’s Hadoop and Hive interfaces are vastly superior to the default CLIs, which scare business analysts and hinder meaningful analyses of the gaming logs that we collect. With Qubole, business analysts are self-sufficient in using a Big Data platform to meet their advanced analytic needs.
Online Gaming Company
top-performing technologies in the data industry are definitely taking aim at democratizing data tools and bringing the power of data to smaller businesses. This is a major change in the data industry, and Qubole Data Service is a great example
I’m very happy to be using Qubole in production. Qubole has saved me a lot of time, effort, and trouble in getting my data processing pipelines up and running. My data pipelines process Appnexus data in Amazon S3 which is then stored in Vertica. The engineering team understands the complexities and provided awesome support!
Real-time Ads Retargeting Startup
There’s a whole world of web companies, SMBs and other non-Facebooks or Yahoos that will want to use Hadoop but not want to run it in-house…offering a cloud service makes it easier for these users to get started with the platform and for Qubole to keep improving.
Qubole offers a big data ETL and exploration service through auto-scaling Hadoop clusters with a web user interface for data exploration and integration with various data sources. The service can do (nearly) everything EMR can do, and it goes further
Big Data Republic
Simba knows Big Data access. Qubole knows Big Data. Qubole’s founders authored Apache Hive, built key parts of the Hadoop eco-system and brought Apache HBase to Facebook
“The integration of Tableau and Qubole makes it faster and easier for our customers to operationalize Big Data…lowers the resource barriers to deriving the benefits of Big Data because customers can deploy our joint solution seamlessly and cost effectively.”