KDnuggets

JULY 19, 2022

The skills you have need maintenance and occasional updates. Doing an interesting data science project is what will keep you from getting rusty.

Project 129

Project Data Science Data 129

Cloudera

JULY 19, 2022

The dynamic and interconnected world of global ecommerce, crypto currencies, and alternative payments places increased pressure on anti-financial crime measures to keep pace and transform alongside these initiatives. Consumers worldwide are projected to use mobile devices to make more than 30.7 billion ecommerce transactions by 2026, a five-fold increase over the 6.1 billion predicted for 2022.

Banking 85

Banking Education Media Machine Learning 85

KDnuggets

JULY 19, 2022

DataCamp has launched their Free Week, running now through to 11.59 pm ET on 24 July. For this whole week, anyone, anywhere, and anytime can have unlimited access to their site. Try it out now!

Accessible 105

Accessible Accessibility Data IT 105

InData Labs

JULY 19, 2022

In the Information Age, the world runs on data and lots of it. Artificial intelligence (AI) data management is becoming an essential tool for helping organizations to leverage the massive amount of data that is helping them make better business decisions and giving us a better sense of our world. Human beings have substantial limitations. Запись How AI is being used in data management впервые появилась InData Labs.

Data Management 52

Data Management Management Data IT 52

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.

Data Science

KDnuggets

JULY 19, 2022

And so true to the origins of its name, Apache Druid is shapeshifting - with the addition of a new multi-stage query engine.

Engineering 108

Engineering IT Data Engineering Data Engineer 108

Meltano

JULY 19, 2022

Data processing has three distinct stages: an extract stage where data is extracted from a store like a database, a load stage where the data is loaded into an analytic database or system, and a transform stage where data is modified to a form suitable for analysis. Combined, these three stages are often referred to as ELT (extract, load, transform).

Building 52

Building Python Database Project 52

Yelp Engineering

JULY 19, 2022

As part of our effort to connect users with great local businesses, Yelp sends out tens of millions of emails every month. In order to support the scale of those sends, we rely on third-party Email Service Providers (ESPs) as well as our internal email system, Mercury. Delivering the emails is just part of the challenge—we also need to give email developers a way to craft sophisticated templates that conform to our Yelp design guidelines.

Designing 52

Designing Engineering Systems 52

Propel Data

JULY 19, 2022

Snowflake data platform allows many virtual warehouses in one account, but multi-cluster virtual warehouses are an Enterprise-only feature.

Data Analytics 40

Data Analytics Data 40

AltexSoft

JULY 19, 2022

“New is always better.”. Barney Stinson, a fictional character from the CBS show How I Met Your Mother. No matter how ridiculous it may sound, the famous quote is applicable to the technology world in many ways. In the last few decades, we’ve seen a lot of architectural approaches to building data pipelines , changing one another and promising better and easier ways of deriving insights from information.

Architecture 52

Architecture Data Lake Medical Datasets 52

Monte Carlo

JULY 19, 2022

As companies increasingly invest in data and analytics, the need to build a robust and effective data team becomes a top-line priority. We spoke with Jacob Follis, Chief Innovation Officer at Collaborative Imaging, to learn how he sets strategy for his lean but growing data organization, what’s in his stack, and his favorite KPIs to measure data team success.

Healthcare 40

Healthcare Hospitality Data Science Insurance 40

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.

Engineering