KDnuggets

JULY 5, 2022

Leverage the powerful data wrangling tools in R’s dplyr to clean and prepare your data.

Data Preparation 160

Data Preparation Data Data Science 160

Data Engineering Podcast

JULY 3, 2022

Summary The ecosystem for data tools has been going through rapid and constant evolution over the past several years. These technological shifts have brought about corresponding changes in data and platform architectures for managing data and analytical workflows. In this episode Colleen Tartow shares her insights into the motivating factors and benefits of the most prominent patterns that are in the popular narrative; data mesh and the modern data stack.

Architecture 100

Architecture Metadata MongoDB MySQL 100

Teradata

JULY 5, 2022

In the current age of AI, all digital transformations must be analytics-led. Learn the 7 steps needed to realize the promise of an analytics-led digital transformation.

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Rockset

JULY 8, 2022

June was a month packed with big data and analytics conferences, and we kicked the summer off with the trifecta of MongoDB World in New York, Snowflake Summit in Las Vegas and The Databricks Data+AI Summit in San Francisco. Rockset Rocked Coast-to-Coast New York City: MongoDB World Show attendees watch Rockset demo at MongoDB World 2022 Team Rockset at MongoDB World 2022 At MongoDB World, we spoke to hundreds of people excited to be back at an in-person industry conference and learn how they can

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MongoDB AWS Data Lake Big Data 52

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In Airflow, DAGs (your data pipelines) support nearly every use case. As these workflows grow in complexity and scale, efficiently identifying and resolving issues becomes a critical skill for every data engineer. This is a comprehensive guide with best practices and examples to debugging Airflow DAGs. You’ll learn how to: Create a standardized process for debugging to quickly diagnose errors in your DAGs Identify common issues with DAGs, tasks, and connections Distinguish between Airflow-relate

Data Pipeline

KDnuggets

JULY 4, 2022

Learn about the data science VSCode extensions for super productivity and better user experience.

Data Science 160

Data Science Data Programming 160

Data Engineering Podcast

JULY 3, 2022

Summary The perennial challenge of data engineers is ensuring that information is integrated reliably. While it is straightforward to know whether a synchronization process succeeded, it is not always clear whether every record was copied correctly. In order to quickly identify if and how two data systems are out of sync Gleb Mezhanskiy and Simon Eskildsen partnered to create the open source data-diff utility.

Data Integration 100

Data Integration MongoDB MySQL Scala 100

Meltano

JULY 7, 2022

Gone are the days when success meant keeping data teams small and getting your insights quickly with tools built in-house. Data is taking on a new level of importance to businesses, and expectations are changing. Reliability, consistency, and accuracy are of greater importance than ever before, and the old ways of data don’t support that, leaving DataOps professionals frustrated.

Software Engineering 52

Software Engineering Software Engineer BI Data Workflow 52

KDnuggets

JULY 8, 2022

The combination of several machine learning algorithms is referred to as ensemble learning. There are several ensemble learning techniques. In this article, we will focus on boosting.

Machine Learning 155

Machine Learning Algorithm 155

Confluent

JULY 7, 2022

How Confluent’s data streaming platform enriches real-time stock market data directly into Databricks’ Lakehouse for powerful data modeling, risk management, and analytics.

Management 52

Management Data 52

Rockset

JULY 6, 2022

This is the fifth post in a series by Rockset's CTO and Co-founder Dhruba Borthakur on Designing the Next Generation of Data Systems for Real-Time Analytics. We'll be publishing more posts in the series in the near future, so subscribe to our blog so you don't miss them! Posts published so far in the series: Why Mutability Is Essential for Real-Time Data Analytics Handling Out-of-Order Data in Real-Time Analytics Applications Handling Bursty Traffic in Real-Time Analytics Applications SQL and Co

NoSQL 52

NoSQL SQL Systems PostgreSQL 52

Speaker: Tamara Fingerlin, Developer Advocate

Apache Airflow® 3.0, the most anticipated Airflow release yet, officially launched this April. As the de facto standard for data orchestration, Airflow is trusted by over 77,000 organizations to power everything from advanced analytics to production AI and MLOps. With the 3.0 release, the top-requested features from the community were delivered, including a revamped UI for easier navigation, stronger security, and greater flexibility to run tasks anywhere at any time.

Data

Yelp Engineering

JULY 5, 2022

One of the core tenets for our infrastructure and engineering effectiveness teams at Yelp is ensuring we have a best-in-class developer experience. Our React monorepo codebase has steadily grown as developers create new React components, but our existing React Styleguidist (Styleguidist, for short) development environment has failed to scale in parallel.

Designing 52

Designing Engineering 52

KDnuggets

JULY 8, 2022

Bounding box deep learning has several benefits that make it well-suited for video annotation.

Deep Learning 144

Deep Learning IT 144

Data Science Blog: Data Engineering

JULY 4, 2022

Already familiar with the term big data, right? Despite the fact that we would all discuss Big Data, it takes a very long time before you confront it in your career. Apache Spark is a Big Data tool that aims to handle large datasets in a parallel and distributed manner. Apache Spark began as a research project at UC Berkeley’s AMPLab, a student, researcher, and faculty collaboration centered on data-intensive application domains, in 2009.

Hadoop 52

Hadoop Big Data Datasets Scala 52

U-Next

JULY 2, 2022

If multitenancy is quite new to you, this blog is for you! A beginner-friendly and concise guide to cloud computing via multitenancy. Introduction To Multitenancy In Cloud Computing. Multiple tenants are included in multitenancy, and a collection of personnel, assets, or applications is referred to here. The multi-tenant service design has been developed to allow numerous consumers to connect the same mechanism at once.

Cloud Computing 52

Cloud Computing Cloud Architecture Database 52

Speaker: Alex Salazar, CEO & Co-Founder @ Arcade | Nate Barbettini, Founding Engineer @ Arcade | Tony Karrer, Founder & CTO @ Aggregage

There’s a lot of noise surrounding the ability of AI agents to connect to your tools, systems and data. But building an AI application into a reliable, secure workflow agent isn’t as simple as plugging in an API. As an engineering leader, it can be challenging to make sense of this evolving landscape, but agent tooling provides such high value that it’s critical we figure out how to move forward.

Systems

Propel Data

JULY 5, 2022

Propel Data is excited to announce support for Snowflake. Developers are now able to build on top of GraphQL APIs powered by Snowflake data.

Building 40

Building Data Analytics Data 40

KDnuggets

JULY 8, 2022

Learn essential DVC commands to version large datasets and track and manage the machine learning experiments.

Data Science 138

Data Science Datasets Machine Learning Data 138

Monte Carlo

JULY 7, 2022

Editor’s Note : We ran into Andrew at our London IMPACT event in early 2022. At the time, he was one of a very few people using the term “data contract.” Not only was he using the term, but his implementation was generating results. Data contracts have since became one of the most discussed topics in data engineering. For posterity, we have preserved Barr’s forward that examines what was then a very nascent trend, but we have also added an updated data contract FAQ as an addendum.

Data Warehouse 52

Data Warehouse Software Engineering Software Engineer Data 52

U-Next

JULY 4, 2022

The chances are tremendously more that you will land a successful career in the data science field after reading this blog than without reading it. So, you know the drill! Introduction To Data Science Career. Data science career has been evolving, and it is in high demand. Data science is involved in the process of collecting and analysing data. It helps organisations in a great way to manage and use a huge amount of data to make important decisions related to the business.

Data Science 40

Data Science Data Architect Data Mining Recruitment 40

Speaker: Andrew Skoog, Founder of MachinistX & President of Hexis Representatives

Manufacturing is evolving, and the right technology can empower—not replace—your workforce. Smart automation and AI-driven software are revolutionizing decision-making, optimizing processes, and improving efficiency. But how do you implement these tools with confidence and ensure they complement human expertise rather than override it? Join industry expert Andrew Skoog as he explores how manufacturers can leverage automation to enhance operations, streamline workflows, and make smarter, data-dri

Manufacturing

KDnuggets

JULY 4, 2022

Also: Decision Tree Algorithm, Explained; 20 Basic Linux Commands for Data Science Beginners; 15 Python Coding Interview Questions You Must Know For Data Science; Naïve Bayes Algorithm: Everything You Need to Know.

Data Science 137

Data Science Algorithm Python Coding 137

KDnuggets

JULY 7, 2022

We've been long working on improving the user experience in UGC products with machine learning. Following this article's advice, you will avoid a lot of mistakes when creating a recommendation system, and it will help to build a really good product.

Systems 123

Systems Machine Learning Building IT 123

KDnuggets

JULY 6, 2022

Looking for a straightforward guide to tech title salaries? Look no further!

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KDnuggets

JULY 5, 2022

Striving for a new generic way to structure analytics data, so models built on one data set can be deployed and run on another.

Data 123

Data Data Science 123

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With Airflow being the open-source standard for workflow orchestration, knowing how to write Airflow DAGs has become an essential skill for every data engineer. This eBook provides a comprehensive overview of DAG writing features with plenty of example code. You’ll learn how to: Understand the building blocks DAGs, combine them in complex pipelines, and schedule your DAG to run exactly when you want it to Write DAGs that adapt to your data at runtime and set up alerts and notifications Scale you

Data Engineering

KDnuggets

JULY 6, 2022

N-gram is a sequence of n words in the modeling of NLP. How can this technique be useful in language modeling?

Process 120

Process 120

KDnuggets

JULY 4, 2022

Python is the most popular programming language in the world. Master it with this free crash course.

Python 120

Python Programming Language Programming IT 120

KDnuggets

JULY 7, 2022

Take advantage of your existing data whether it be for testing, training ML models, or unlocking data analysis. Answer nuanced scientific questions, enable better testing, and support business decisions with the synthetic data that looks, feels, and behaves like your production data - because it’s made from your production data.

Data Engineer 119

Data Engineer Data Engineering Engineering Data 119

KDnuggets

JULY 6, 2022

12 Essential VSCode Extensions for Data Science; Statistics and Probability for Data Science; Free Python Crash Course; Linear Machine Learning Algorithms: An Overview; 7 Steps to Mastering Python for Data Science.

Data Science 112

Data Science Algorithm Python Machine Learning 112

Speaker: Tamara Fingerlin, Developer Advocate

In this new webinar, Tamara Fingerlin, Developer Advocate, will walk you through many Airflow best practices and advanced features that can help you make your pipelines more manageable, adaptive, and robust. She'll focus on how to write best-in-class Airflow DAGs using the latest Airflow features like dynamic task mapping and data-driven scheduling!

Data

KDnuggets

JULY 4, 2022

The tools used in the development cycle for Machine Learning and the managing of the models require MLOps - Machine Learning Operations.

Machine Learning 112

Machine Learning Management 112

KDnuggets

JULY 7, 2022

Coming to think of technical debt in ML systems leads to the additional overhead of ML-related issues on top of typical software engineering issues.

Software Engineering 108

Software Engineering Software Engineer Engineering Systems 108

KDnuggets

JULY 5, 2022

In this article, we discuss the importance of linear regression in data science and machine learning.

Data Science 108

Data Science Machine Learning Data 108

U-Next

JULY 2, 2022

Market trends suggest that salaries of cloud engineering-associated jobs will skyrocket soon. Learn more here. Introduction To Cloud Engineer Salary. More and more businesses are recognising the benefits of using cloud computing in their day-to-day operations, which has led to the development of the cloud computing industry. According to Grand View Research, the global cloud computing market revenues were valued at around $267 billion in 2019.

Cloud 40

Cloud Cloud Computing Engineering Amazon Web Services 40

Speaker: Ben Epstein, Stealth Founder & CTO | Tony Karrer, Founder & CTO, Aggregage

When tasked with building a fundamentally new product line with deeper insights than previously achievable for a high-value client, Ben Epstein and his team faced a significant challenge: how to harness LLMs to produce consistent, high-accuracy outputs at scale. In this new session, Ben will share how he and his team engineered a system (based on proven software engineering approaches) that employs reproducible test variations (via temperature 0 and fixed seeds), and enables non-LLM evaluation m

Software Engineer