KDnuggets
OCTOBER 11, 2022
A Data Science Enablement Team consists of people from various departments like marketing, sales, product development, etc. They are responsible for providing the necessary tools and resources to help the data scientists do their job more efficiently.
Cloudera
OCTOBER 11, 2022
A recent VentureBeat article , “4 AI trends: It’s all about scale in 2022 (so far),” highlighted the importance of scalability. I recommend you read the entire piece, but to me the key takeaway – AI at scale isn’t magic, it’s data – is reminiscent of the 1992 presidential election, when political consultant James Carville succinctly summarized the key to winning – “it’s the economy”.
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KDnuggets
OCTOBER 11, 2022
This article serves as a beginner’s guide to web scraping using Python and looks at the different frameworks and methods you can use, outlined in simple terms.
WeCloudData
OCTOBER 11, 2022
Objectives This tutorial is one part of a containers series of tutorials that will walk the reader through installation of tools that can run applications in containers. By the end of these tutorials the reader will be able to Install services (container engines) that can run containers using tools such as LXD/LXC, Docker, or Podman. […] The post Install and Run Containers on Linux Virtual Machines – LXD/LXC appeared first on WeCloudData.
Speaker: Timothy Chan, PhD., Head of Data Science
Are you ready to move beyond the basics and take a deep dive into the cutting-edge techniques that are reshaping the landscape of experimentation? 🌐 From Sequential Testing to Multi-Armed Bandits, Switchback Experiments to Stratified Sampling, Timothy Chan, Data Science Lead, is here to unravel the mysteries of these powerful methodologies that are revolutionizing how we approach testing.
KDnuggets
OCTOBER 11, 2022
The post explains three popular frameworks, PySpark, Dask, and Ray, and discusses various factors to select the most appropriate one for your project.
Monte Carlo
OCTOBER 11, 2022
Precise endeavors must be done to exacting standards in clean environments. Surgeons scrub in, rocket scientists work in clean rooms, and data scientists…well we try our best. We’ve all heard the platitude, “garbage in, garbage out,” so we spend most of our time doing the most tedious part of the job: data cleaning. Unfortunately, no matter how hard we scrub, poor data quality is often too pervasive and invasive for a quick shower.
Data Engineering Digest brings together the best content for data engineering professionals from the widest variety of industry thought leaders.
U-Next
OCTOBER 11, 2022
The work on IDS or Intrusion Detection System was done during the years 1984 and 1986. Dorothy Denning and Peter Neumann created the Intrusion Detection Expert System with the initial iteration of the IDS (IDES). IDS is a term used to describe a method that may recognize or detect the existence of invasive activity. . In a larger sense, this refers to all the procedures used to identify the unlawful computer or network usage.
Propel Data
OCTOBER 11, 2022
The main difference between data lakes and data warehouses is data lakes allow unstructured data, but data warehouses need structured data.
Rockset
OCTOBER 11, 2022
Introduction Managing streaming data from a source system, like PostgreSQL, MongoDB or DynamoDB, into a downstream system for real-time analytics is a challenge for many teams. The flow of data often involves complex ETL tooling as well as self-managing integrations to ensure that high volume writes, including updates and deletes, do not rack up CPU or impact performance of the end application.
WeCloudData
OCTOBER 11, 2022
Objectives This tutorial is one part of a containers series of tutorials that will walk the reader through installation of tools that can run applications in containers. By the end of these tutorials the reader will be able to Install services (container engines) that can run containers using tools such as LXD/LXC, Docker, or Podman. Launch simple applications packaged in containers from template container images.
Speaker: Anne Steiner and David Laribee
As a concept, Developer Experience (DX) has gained significant attention in the tech industry. It emphasizes engineers’ efficiency and satisfaction during the product development process. As product managers, we need to understand how a good DX can contribute not only to the well-being of our development teams but also to the broader objectives of product success and customer satisfaction.
dbt Developer Hub
OCTOBER 11, 2022
IMPORTANT: This document serves as the temporary location for information on how to design and structure your metrics. It is our intention to take this content and turn it into a Guide, like How we structure our dbt projects , but we feel that codifying information in a Guide first requires that metrics be rigorously tested by the community so that best practices can arise.
WeCloudData
OCTOBER 11, 2022
Objectives This tutorial is one part of a containers series of tutorials that will walk the reader through installation of tools that can run applications in containers. By the end of these tutorials the reader will be able to Install services (container engines) that can run containers using tools such as LXD/LXC, Docker, or Podman. Launch simple applications packaged in containers from template container images.
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