Data is everywhere. And to thrive, even to survive, in this next economic cycle, companies need to not only re-tool their infrastructure, but they also need to remodel their approach to data to create a truly self-service and on-demand culture. It is no longer an option for business leaders to wait a month, a week, or even a day for analysis that will help drive decisions. And back of the napkin models with gut decisions do not enable predictable success…so businesses need to change.Please join Ashish Thusoo, Co-Founder and CEO of Qubole—a big data as a service company—and former head of Facebook’s Data Infrastructure team that pioneered the self-service data infrastructure model as he shares just how he did this at Facebook.
After this webcast, you will have learned:
About Ashish Thusoo, Co-Founder and Chief Executive Officer – Qubole
Before co-founding Qubole, Ashish ran Facebook’s Data Infrastructure team; under his leadership, the team built one of the largest data processing and analytics platforms in the world. This platform achieved not just the bold aim of making data accessible to analysts, engineers, and data scientists, but drove the “big data” revolution. In the process of scaling Facebook’s Big Data infrastructure, he helped drive the creation of a host of tools, technologies, and templates that are used industry wide today.
About Ravi Murthy, Director of Engineering at Facebook
Ravi Murthy is the Director of Engineering for Analytics Infrastructure at Facebook. He leads development of the big data platform for one of the largest data warehouses in the world. It is responsible for crunching petabytes of data, to enable better products and services for Facebook’s 1-billion+ active users. His teams develop popular open source software such as Presto, Hive and Hadoop(Corona), as well as systems for real-time stream processing (Scribe and Puma), in-memory analytics (Scuba), and graph analytics (Giraph).
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.”