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Analytics

Discover and Explore Data Faster with the CDP DDE Template

It is hard to believe if you have had previous experience with setting up, sizing, and deploying a distributed search engine service that this is possible. Imagine how many times IT has lost valuable time spending hours trying to understand Apache Solr application requirements and map them into how to best size and deploy the Solr service. Time that is lost to Line of Business as well.

The Advantages Of Live Data-Streaming In The Competitive Financial Services Sector (Part III)

Live data-streaming offers businesses exciting new opportunities to transform the way they operate, leveraging real-time insights to drive better decision making and enhance operational efficiency. To find out more about how streaming data might impact the financial services sector I sat down for a chat with Dinesh Chandrasekhar, Head of Product Marketing in Cloudera’s Data-in-Motion Business Unit.

The unexpected benefits of COVID-19 in Japan

The way that people do business in Japan has radically changed as a result of COVID-19. Historically, the Japanese have been very much about face to face relationship selling where you establish relationships and build trust but now everything has to be done remotely or online. Like everyone else, the Japanese are really keen to keep doing business so they've actually embraced the remote way of doing things which has been quite interesting to watch and had some unexpected benefits.

Episode 9: Introduction to Indexes

In this episode, we learn about a very important technique for making database queries faster: indexes! Indexes are a very powerful technique and are critical to understanding how databases work under the hood. In this lesson we talk about how database indexes make use of the binary search algorithm to speed up queries. We also cover the trade-offs associated with using database indexes, and why it might not be a good idea to use too many indexes.

EP.1 The Past, Present, and Future of the Data Cloud w/ Frank Slootman, Chairman & CEO of Snowflake

As founder and CEO of Snowflake, Frank Slootman, has had a first-hand look at the rise of the data cloud. In fact, he helped coin the very term "data cloud." He is a pioneer in helping organizations migrate their data to the cloud, manage it there, and make it accessible for machine learning and other sophisticated analytics techniques. On this episode, Frank speaks about some of the powerful new capabilities enabled by the cloud data platform, including the ability to share data with ease and convenience that was not possible before. #RISEOFTHEDATACLOUD

MLOps for Python: Real-Time Feature Analysis

Data scientists today have to choose between a massive toolbox where every item has its pros and cons. We love the simplicity of Python tools like pandas and Scikit-learn, the operation-readiness of Kubernetes, and the scalability of Spark and Hadoop, so we just use all of them. What happens? Data scientists explore data using pandas, then data engineers use Spark to recode the same logic to scale or with live streams or operational databases.