KDnuggets

APRIL 4, 2023

Artificial education is changing the game for students and educators nationwide. Learn more about how AI is shaping STEM education in 2023 and beyond.

Education 106

Education 106

Confluent

APRIL 4, 2023

Machine learning and data streaming are a perfect match, but have diverging tech stacks. How can we overcome the pitfalls of SQL and the gulf between languages?

Machine Learning 104

Machine Learning SQL Data 104

KDnuggets

APRIL 4, 2023

Tutorial on data cleaning techniques using Python.

Python 157

Python Data Data Science 157

ArcGIS

APRIL 4, 2023

ArcGIS Pro 3.1 introduces a new layer type—catalog layers—and this blog covers how they could be used in your analytic workflows.

Building 110

Building Datasets Data Management Management 110

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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.

Database

KDnuggets

APRIL 4, 2023

Learn how Bard, Bing, ChatGPT, GitHub Copilot, and Hugging Face are improving data scientists' work life.

Data Science 120

Data Science Data 120

databricks

APRIL 4, 2023

Databricks is excited to announce the release of several exciting new Workflows features that will simplify the way you create and launch automated.

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Snowflake

APRIL 4, 2023

At Snowflake, we like data. And we appreciate people who also like data—and like working with it. Snowflake Marketplace is designed with that in mind: giving people and organizations a place to easily find, try, and buy data and applications that can help them build more and do more with data. Earlier this year we removed the log-in requirement for Snowflake Marketplace so anyone can browse the over 1,800 product listings (as of Jan 31, 2023) at any time.

Cloud 52

Cloud Accessible Accessibility Project 52

phData: Data Engineering

APRIL 4, 2023

At phData we try to be at the forefront of new technologies and capabilities that might benefit our customers. Today we want to introduce Fivetran’s support for Amazon S3 with Apache Iceberg, investigate some of the implications of this feature, and learn how it fits into the modern data architecture as a whole. What is This New Feature? Fivetran today announced support for Amazon Simple Storage Service (Amazon S3) with Apache Iceberg data lake format.

Data Lake 52

Data Lake Amazon Web Services Data Cleanse Data Warehouse 52

Tweag

APRIL 4, 2023

Data is the key input for software systems and decision-making processes. Effective tools and engineering practices for storing, aggregating, and refining data with machine learning are essential for maximizing its value. Data engineering solutions should be reliable, correct, and perform at scale. We apply DataOps, MLOps, and functional programming principles to make this a reality.

Data Engineering 52

Data Engineering Data Engineer Engineering Machine Learning 52

know.bi

APRIL 4, 2023

We're two months into what more or less organically has become the bi-monthly release cycle for Apache Hop, so here's the next Apache Hop 2.4.0 release!

BI 52

BI Data Engineering Data Engineer Engineering 52

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.

Certification

ArcGIS

APRIL 4, 2023

A blog outlining the new tools developed by Spatial Statistics team for ArcGIS Pro 3.

Data Science 52

Data Science Data 52

LinkedIn Engineering

APRIL 4, 2023

Authors: Viktoras Truchanovicius and Selina Zhang At LinkedIn, developer productivity and happiness has always been a priority. It is critical for our engineering leaders to understand how efficiently and effectively their teams are operating to continuously deliver value-added features for our members and build an industry-leading engineering culture.

MySQL 122

MySQL Datasets Software Engineer Software Engineering 122

DoorDash Engineering

APRIL 4, 2023

DoorDash offers our summer interns the opportunity to fully integrate with Engineering teams to get the kind of real industry experience that is not taught in the classroom. This is the third blog post in a series of articles showcasing our 2022 summer intern projects. If you missed the first or second article the links are here and here. You can read about each project below.

Project 74

Project Banking Kafka Database 74

Monte Carlo

APRIL 4, 2023

Today, I’m excited to announce Monte Carlo’s new Fivetran integration , giving mutual customers the ability to accelerate data incident detection and resolution by adding monitoring to data pipelines at the point of creation. With today’s announcement, Monte Carlo becomes the first data company to bring data observability to the entire orchestration layer, this coming after integrations with Airflow, dbt Core and dbt Cloud were announced in 2022.

ETL Tools 52

ETL Tools Data Pipeline Business Intelligence Data Warehouse 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

Snowflake

APRIL 4, 2023

Less than half of organizations have methods to track and rightsize their SaaS usage. The same percentage of organizations offboard employees from SaaS apps they don’t actually use. What’s the result? Nearly one-third of SaaS licenses purchased by organizations go underutilized or wasted, according to the State of ITAM Report by Flexera. On the flip side, some organizations have implemented software asset management (SAM) solutions to save money on their SaaS purchases.

Management 52

Management Portfolio Data Ingestion Machine Learning 52

Monte Carlo

APRIL 4, 2023

Today, I’m excited to announce Monte Carlo’s new Fivetran integration , giving mutual customers the ability to accelerate data incident detection and resolution by adding monitoring to data pipelines at the point of creation. With today’s announcement, Monte Carlo becomes the first data company to bring data observability to the entire orchestration layer, this coming after integrations with Airflow, dbt Core and dbt Cloud were announced in 2022.

ETL Tools 52

ETL Tools Data Pipeline Business Intelligence Data Warehouse 52

Mutt Data

APRIL 4, 2023

The Modern Data Stack: A Neccesary Foundation Over the last months you’ve heard a lot about the Modern Data Stack, be it from our series of posts on the matter, LinkedIn, or the web itself. We’ve gone over the game-changing benefits of implementing a Modern Data Stack and hopefully established that it is a necessary foundation for companies to effectively scale and eventually build ML and AI capabilities upon to gain a competitive advantage.

Raw Data 40

Raw Data Data Warehouse AWS Data Governance 40

Monte Carlo

APRIL 4, 2023

The modern data stack consists of multiple interdependent data systems all working together. Data anomalies and incidents can be introduced across any point of this pipeline, which can make root cause analysis a fragmented and frustrating multi-tab process. Was it a query changed within Snowflake? A modified dbt model? Failed Airflow job? None of the above?

BI 64

BI Data Ingestion Metadata Data Pipeline 64

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

Monte Carlo

APRIL 4, 2023

Data mesh vs data warehouse is an interesting framing because it is not necessarily a binary choice depending on what exactly you mean by data warehouse (more on that later). Both are popular data management frameworks that help teams leverage their data effectively, but they do so in very different ways and with different overarching goals. Despite their differences, however, both approaches require high-quality, reliable data in order to function.

Data Warehouse 52

Data Warehouse Data Governance Data Architecture 52