Automation in Data Science Workflows
KDnuggets
MARCH 27, 2023
Will data science, known for replacing innately iterative work with automation, become automated? Will data scientists’ jobs be automated too?
KDnuggets
MARCH 27, 2023
Will data science, known for replacing innately iterative work with automation, become automated? Will data scientists’ jobs be automated too?
ArcGIS
MARCH 27, 2023
Check out this blog for a quick overview of some key geoprocessing enhancements in ArcGIS Pro 3.1.
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KDnuggets
MARCH 27, 2023
Data science is an intelligent and powerful technology. By knowing how to use data science in mobile app development you can achieve great results.
databricks
MARCH 27, 2023
Cybersecurity is a big data problem: The growing volume and complexity of data flowing in and out of enterprises have created new cybersecurity.
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Many organizations today are unlocking the power of their data by using graph databases to feed downstream analytics, enahance visualizations, and more. Yet, when different graph nodes represent the same entity, graphs get messy. Watch this essential video with Senzing CEO Jeff Jonas on how adding entity resolution to a graph database condenses network graphs to improve analytics and save your analysts time.
KDnuggets
MARCH 27, 2023
Microsoft announces Visual ChatGPT for talking, drawing, and editing with visual foundation models.
databricks
MARCH 27, 2023
The importance and impact of data in healthcare is greater than it has ever been, with access to truly large-scale datasets and powerful.
Data Engineering Digest brings together the best content for data engineering professionals from the widest variety of industry thought leaders.
Towards Data Science
MARCH 27, 2023
A peek into the different query optimizers and how they work Continue reading on Towards Data Science »
Confluent
MARCH 27, 2023
Preview of Confluent’s Washington, DC Data in Motion event. This event, largely focused on how data in motion can aid in meeting government modernization goals, and will feature a number of government technology leaders sharing successes and challenges.
Precisely
MARCH 27, 2023
Leading innovators across virtually every industry are striving to leverage the power of data for competitive advantage. Often, businesses struggle to realize tangible benefits from their digital transformation investments. In the rush to innovate, they often fail to achieve the results they were looking for because they miss key aspects of their enterprise data strategy.
ArcGIS
MARCH 27, 2023
Discussion of a hex-binned snowflake styled thematic map map with shared styles
Speaker: Scott Sehlhorst
We know we want to create products which our customers find to be valuable. Whether we label it as customer-centric or product-led depends on how long we've been doing product management. There are three challenges we face when doing this. The obvious challenge is figuring out what our users need; the non-obvious challenges are in creating a shared understanding of those needs and in sensing if what we're doing is meeting those needs.
Confluent
MARCH 27, 2023
Evi Schneider focuses on European campaign management. She tells us how her professional development at data streaming pioneer Confluent will continue.
Acceldata
MARCH 27, 2023
Learn the key elements required for data teams to build great data products.
Lyft Engineering
MARCH 27, 2023
Authors: Remco van Bree , Ben Radler Contributors : Alex Ilyenko , Ben Radler , Francisco Souza , Garrett Heel , Nathan Hsieh , Remco van Bree , Shu Zheng , Alex Hartwell , Brian Witt “Load testing in production is great.” We know what you’re thinking — testing in production is one of the cardinal sins of software development. However, at Lyft we have come to realize that load testing in production is a powerful tool to prepare systems for unexpected bursty traffic and peak events.
Acceldata
MARCH 27, 2023
Data observability took top billing at this year's Gartner Data & Analytics Summit. Learn about the various data observability topics from the event.
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.
Rockset
MARCH 27, 2023
This is part two in Rockset’s Making Sense of Real-Time Analytics on Streaming Data series. In part 1 , we covered the technology landscape for real-time analytics on streaming data. In this post, we’ll explore the differences between real-time analytics databases and stream processing frameworks. In the coming weeks we’ll publish the following: Part 3 will offer recommendations for operationalizing streaming data, including a few sample architectures Part 4 will feature a case study highlightin
LinkedIn Engineering
MARCH 27, 2023
At LinkedIn, one of our most important goals is to offer a top-notch experience for all of our customers. Purchasing is a big part of that customer experience, and it is not as straightforward as many people would think. It can be complex and difficult to navigate, which makes the LinkedIn Business Platform such an important tool for delivering high-quality experiences to LinkedIn sales representatives (our internal consumers) and also customers of our products and services.
Cloudera
MARCH 27, 2023
The best description of untrusted data I’ve ever heard is, “We all attend the QBR – Sales, Marketing, Finance – and present quarterly results, except the Sales reports and numbers don’t match Marketing numbers and neither match Finance reports. We argue about where the numbers came from, then after 45 minutes of digging for common ground, we chuck our shovels and abandon the call in disgust.
Snowflake
MARCH 27, 2023
Snowflake is continuing its strong momentum and investments in geospatial analytics with a package of new features, plus integration with a novel pipeline authoring tool from CARTO. Snowflake users can now benefit from better handling of non-compliant spatial objects during ingestion, and a package of functions for performing orientation transformations—all available in public preview.
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.
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