Data Wrangling and Predictive Analytics for the 2019 Cricket World Cup Using PySpark & Python
**Note: When using or referencing the content here, please be mindful of ESPNCricInfo terms of use. At Qubole, we don’t just like Cricket, we love…
**Note: When using or referencing the content here, please be mindful of ESPNCricInfo terms of use. At Qubole, we don’t just like Cricket, we love…
Data storage isn’t as simple as it once seemed. Intricate machines and technologies now collect an incredible breadth of data — over 2.5 quintillion bytes…
Anyone in AdTech knows the market is incredibly fragmented. Despite rapid growth — 38 percent from 2016 to 2017 — a considerable share of the…
A company’s big data infrastructure is key to its business success. For one leading advertising software platform, this infrastructure collects and processes billions of advertising…
This blog is a customer guest post written by Ibotta. Ibotta is a mobile technology company that is transforming the traditional rebates industry by providing…
The concept of self-service is one that dominates much of our lives today — we can ring up our own groceries, pump our gas, and…
If big data frameworks had a popularity contest, Apache Spark would be the attractive, trendy option everyone wants to be seen with. First developed at…
The following is a recap from a Bellevue Artificial Intelligence Meetup event hosted by Qubole and held with Expedia on July 20th, 2018. The topics…
Have you ever wondered why you receive personalized promotions and offers in the mail from various retail and telecom giants? Many of these promotions are…
Introducing the 2018 Big Data Trends and Challenges Survey, sponsored by Qubole In its second year, the 2018 Big Data Trends and Challenges Survey report*…
Free access to Qubole for 30 days to build data pipelines, bring machine learning to production, and analyze any data type from any data source.
See what our Open Data Lake Platform can do for you in 35 minutes.