Data engineering Drive higher business outcomes by operationalizing AI platforms and improving the efficiency of data pipelines on cloud. Explore data engineering Accelerators Leverage our pre-built analytics assets and proprietary frameworks to accelerate data-to-value for your business. Explore acceler...
Feature engineering for interest-based age classification machine-learning classification feature-selection feature-engineering data-analysis CommunityBot 1 modified9 hours ago 3votes 1answer 244views How to build a symmetric similarity model on top of embeddings?
Data warehouse: The data engineering team used TiDB as their on-premises data warehouse. However, each consumer team had their own perspective of data needed for analysis. As this siloed architecture evolved, it resulted in expensive storage and operational costs to mainta...
The pattern for this model is Red Hat in November 1999 when it became the largest open source company in the world with the acquisition of Cygnus, which was the first business to provide custom engineering and support services for free software. A relatively small number of companies are develo...
Riley Predumhas professionally worked in several areas of data such as product and data analytics, and in the realm of data science and data/analytics engineering. He has a passion for writing and teaching and enjoys contributing learning materials to online communities focused on both learning in...
We assembled a panel of superstars (Bob Muglia, Barr Moses, Benn Stancil, Douglas Laney, and Tristan Handy) for the first Great Data Debate of 2023.Watch the recording here. Data Science Data Engineering Deep Dives Notes From Industry
Master Data Science and Artificial Intelligence @ Eindhoven University of Technology Master's Degree in Data Science and Computer Engineering @ University of Granada The Data Science Toolbox ^ back to top ^ This section is a collection of packages, tools, algorithms, and other useful items in the...
The Snap software engineering team deployed Intel Tiber App-Level Optimization with no required service code changes on a small number of clusters to prove its value before expanding. Soon it was deployed on 350,000 vCores, providing an average of 13% cost reduction across 32 clusters, with mor...
Apache Spark is an in-memory data processing and analytics engine that can run on clusters managed by Hadoop YARN, Mesos and Kubernetes or in a standalone mode. It enables large-scale data engineering and analytics for both batch and streaming applications, as well as machine learning and ...
lambda and AWS components or similar tech stack on other cloud. 6. Experiences on real time data processing, streaming data processing will be strong plus 7boss. Have experiences on Python/Java programming 8. Strong skills building positive relationships across Product and Engineering. 9. Able to...