Wed.Apr 05, 2023

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Introducing Entity-Centric Data Modeling for Analytics

Preset

Entity-centric modeling is a data modeling approach focusing on enriching tabular datasets with useful "features" to enable segmentation, cohort creation, and complex classification analyses easier.

Datasets 111
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The BEST Resources to Level Up Your Data Streaming Knowledge!

Confluent

All the best data streaming resources, tips, and guides to help you learn introductory concepts, streaming architecture basics, common tools and technologies, and more.

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Top 19 Skills You Need to Know in 2023 to Be a Data Scientist

KDnuggets

Skills like the ability to clean, transform, statistically analyze, visualize, communicate, and predict data.

Data 110
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Optimizing VS Code for dbt on Mac

Towards Data Science

A Guide to Maximize Your dbt Productivity in Visual Studio Code (Image from Unsplash ) If you are struggling to get VS Code and dbt to work well together, you are not alone. Integrating them can be challenging, but it will improve your modeling efficiency. That is why I am sharing the setup that has worked for me. In this article, I’ll cover topics like upgrading your terminal so you can quickly recall commands, making use of extensions that allow you to build models faster, and setting up forma

Coding 78
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Beyond the Basics of A/B Tests: Highly Innovative Experimentation Tactics You Need to Know

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.

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How to Build a Scalable Data Architecture with Apache Kafka

KDnuggets

Learn about Apache Kafka architecture and its implementation using a real-world use case of a taxi booking app.

Kafka 106
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Preview the New Workspace Browser

databricks

To simplify navigating in Databricks, we are releasing a new workspace browsing experience. The new Workspace Browser makes it easier for you to.

IT 81

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Visual Data modeling using erwin Data Modeler on the Databricks Lakehouse Platform

databricks

This is a collaborative post between Databricks and Quest Software. We thank Vani Mishra, Director of Product Management at Quest Software for her.

Data 72
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Avec Snowflake, Peaksys concilie pour Cdiscount une data platform unique et le cloisonnement des données entre toutes les filiales 

Snowflake

Le leader français du e-commerce, désormais également fournisseur de services professionnels, s’équipe de la data platform Snowflake pour renforcer ses usages data en interne et avec son écosystème. Objectif : garantir la disponibilité, les performances et la cohérence des data au sein de l’ensemble de ses filiales. Cdiscount : du commerce en ligne aux services orientés B2B Figure historique du commerce en ligne français, créée en 1998 et marketplace depuis 2011, Cdiscount s’appuie aujourd’hui s

Hadoop 52
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The Rise of Empty Queries OR Why You Can’t Always Just Re-Run That Failed Job

Monte Carlo

When you set up a query to run in your data warehouse one of four things will happen: It runs successfully. Hooray, you have the data you need! The query is marked as successfully run. It fails. Boo! The failure could have been caused by timeout, missing fields referenced, permission issues or something else entirely. You reluctantly trudge along your root cause analysis journey.

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Modernizing Data Warehousing with Snowflake and Hybrid Data Vault

Snowflake

Two different data modeling approaches—dimensional data modeling and Data Vault—each have their own pros and cons. But by using a hybrid approach, you can have the best of both worlds. Modernizing a data warehouse with Snowflake Data Cloud is a smart investment that can provide significant benefits to businesses of all sizes, today more than ever as data models become ever more complex.

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From Developer Experience to Product Experience: How a Shared Focus Fuels Product Success

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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Unlock complex campaigns with Braze Currents and RudderStack

RudderStack

With the Braze Currents integration, you can stream continuous, near real-time event data to RudderStack and route it across your entire stack.

IT 57
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A Data Science Approach to Tallying Teslas on the Road

Elder Research

The post A Data Science Approach to Tallying Teslas on the Road appeared first on Elder Research.

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Why Analytics Engineers Are the New Must-Hire for Data Teams

Ascend.io

The data landscape evolves at an astonishing pace. New tech, new best practices, and new roles are constantly emerging and changing the way teams create value from data. Over the last few years, tools and platforms in the data space have been removing the burden of managing and maintaining outdated architectures and codebases. As the technology matures, there’s a constant pattern of “moving up the stack” and bringing data teams closer to business exposure and decisions.