Sat.Jun 18, 2022 - Fri.Jun 24, 2022

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Introducing Objectiv: Open-source product analytics infrastructure

KDnuggets

Collect validated user behavior data that’s ready to model on without prepwork. Take models built on one dataset and deploy & run them on another.

Datasets 160
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Data Orchestration Trends: The Shift From Data Pipelines to Data Products

Simon Späti

Data consumers, such as data analysts, and business users, care mostly about the production of data assets. On the other hand, data engineers have historically focused on modeling the dependencies between tasks (instead of data assets) with an orchestrator tool. How can we reconcile both worlds? This article reviews open-source data orchestration tools (Airflow, Prefect, Dagster) and discusses how data orchestration tools introduce data assets as first-class objects.

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Trending Sources

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5 Steps to land a high paying data engineering job

Start Data Engineering

1. Introduction 2. Steps 2.1. Choosing companies to work for 2.2. Optimizing your Linkedin & resume 2.3. Landing interviews 2.4. Preparing for interviews 2.5. Offers & Negotiation 3. Conclusion 4. Further reading 5. Reference 1. Introduction The data industry is booming! & data engineering salaries are skyrocketing. But landing a new job is not an easy task.

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Azure Data Factory: Script Activity

Azure Data Engineering

While we have discussed various ways for running custom SQL code in Azure Data Factory in a previous post , recently, a new activity has been added to Azure Data Factory called Script Activity , which provides a more flexible way of running custom SQL scripts. Azure Data Factory: Script Activity As shown in the screenshot above, this activity supports execution of custom Data Query Language (DQL) as well as Data Definition Language (DDL) and Data Manipulation Language (DML).

SQL 130
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Mastering Apache Airflow® 3.0: What’s New (and What’s Next) for Data Orchestration

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.

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20 Basic Linux Commands for Data Science Beginners

KDnuggets

Essential Linux commands to improve the data science workflow. It will give you the power to automate tasks, build pipelines, access file systems, and enhance development operations.

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Dynamic Task Mapping in Apache Airflow

Marc Lamberti

Dynamic Task Mapping is a new feature of Apache Airflow 2.3 that puts your DAGs to a new level. Now, you can create tasks dynamically without knowing in advance how many tasks you need. This feature is for you if you want to process various files, evaluate multiple machine learning models, or process a varied number of data based on a SQL request. Excited?

SQL 130

More Trending

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The Future of the Data Lakehouse – Open

Cloudera

Cloudera customers run some of the biggest data lakes on earth. These lakes power mission critical large scale data analytics, business intelligence (BI), and machine learning use cases, including enterprise data warehouses. In recent years, the term “data lakehouse” was coined to describe this architectural pattern of tabular analytics over data in the data lake.

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Data Science Career: 7 Expectations vs Reality

KDnuggets

Let’s get into some of the expectations of data scientists – and the reality they face.

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Managing Hybrid Cloud Data with Cloud-Native Kubernetes APIs

Confluent

Set up a hybrid cloud environment with Confluent for Kubernetes to enable seamless cloud and on-preem integrations, a cloud-native, declarative API, and cluster linking.

Cloud 59
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Combining The Simplicity Of Spreadsheets With The Power Of Modern Data Infrastructure At Canvas

Data Engineering Podcast

Summary Data analysis is a valuable exercise that is often out of reach of non-technical users as a result of the complexity of data systems. In order to lower the barrier to entry Ryan Buick created the Canvas application with a spreadsheet oriented workflow that is understandable to a wide audience. In this episode Ryan explains how he and his team have designed their platform to bring everyone onto a level playing field and the benefits that it provides to the organization.

Metadata 130
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Agent Tooling: Connecting AI to Your Tools, Systems & Data

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.

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Are You Ready for Cloud Regulations?

Cloudera

Across the globe, cloud concentration risk is coming under greater scrutiny. The UK HM Treasury department recently issued a policy paper “ Critical Third Parties to the Finance Sector.” The paper is a proposal to enable oversight of third parties providing critical services to the UK financial system. The proposal would grant authority to classify a third party as “critical” to the financial stability and welfare of the UK financial system, and then provide governance in order to minimize the p

Cloud 83
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Plotting and Data Visualization for Data Science

KDnuggets

In this article, we examine various types of plots used in data science and machine learning.

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Tutorial: Import Relational Data Into Neo4j with Apache Hop - Neo4j Output

know.bi

This guide will teach you the process of exporting data from a relational database (MySQL) and importing it into a graph database (Neo4j). You will learn how to take data from the relational system and to the graph by translating the schema and using Apache Hop as import tools. This Tutorial uses a specific data set, but the principles in this tutorial can be applied and reused with any data domain.

MySQL 52
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Pipeline Academy on Hiatus

Pipeline Data Engineering

It’s time to share some important news with you: we’re taking time off to focus on our health and families, the launch of new data engineering cohorts is on hold until further notice. Health and family Running a bootstrapped company in times of repeated economic crises and data industry vibe shifts is a gift and a curse at the same time. No surprises here: it can be highly rewarding and joyful, but it can be exhausting and stressful as well.

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How to Modernize Manufacturing Without Losing Control

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

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International Women in Engineering Day (June 23rd)

Zalando Engineering

What were the biggest learnings in your career so far? And what advice would you give your younger self today? How do you get ahead in your career? We’re celebrating International Women in Engineering Day by talking to three senior Zalando Women in Tech: Mahak Swami , Engineering Manager; Floriane Gramlich , Director of Product Payments; and Ana Peleteiro Ramallo , Head of Applied Science.

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Super Study Guide: A Free Algorithms and Data Structures eBook

KDnuggets

Check out Super Study Guide: Algorithms and Data Structures, a free ebook covering foundations, data structures, graphs, and trees, sorting and searching.

Algorithm 146
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Applying Data Pipeline Principles in Practice: Exploring the Kafka Summit Keynote Demo

Confluent

How to use data pipelines, unlock the benefits of real-time data flow, and achieve seamless data streaming and analytics at scale with Confluent.

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What is the Rationale for Scrum Teams Implementing Short Sprints?

U-Next

Scrum is a framework for developing complicated products under the Agile product development umbrella. The term scrum is also used during a sprint to describe the daily standup sessions. A sprint is one iteration of a continuous development cycle that is timed. During a Sprint, the team must complete a set amount of work and prepare it for review. Sprints are the smallest and most reliable time intervals used by scrum teams.

Process 52
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The Ultimate Guide to Apache Airflow DAGS

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

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Joining Streaming and Historical Data for Real-Time Analytics: Your Options With Snowflake, Snowpipe and Rockset

Rockset

We’re excited to announce that Rockset’s new connector with Snowflake is now available and can increase cost efficiencies for customers building real-time analytics applications. The two systems complement each other well, with Snowflake designed to process large volumes of historical data and Rockset built to provide millisecond-latency queries , even when tens of thousands of users are querying the data concurrently.

Kafka 52
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Why You Need To Learn More Than One Programming Language!

KDnuggets

Will your skills get outdated if you survive on one programming language for your career? Read on to find out.

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Data Sanitization with Vitess

Yelp Engineering

Our community of users will always come first, which is why Yelp takes significant measures to protect sensitive user information. In this spirit, the Database Reliability Engineering team implemented a data sanitization process long ago to prevent any sensitive information from leaving the production environment. The data sanitization process still enables developers to test new features and asynchronous jobs against a complete, real time dataset without complicated data imports.

MySQL 52
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5G Disruptions in Manufacturing 4.0

Teradata

Companies have started to explore deployment of 5G networks across their value chains. This post will look at the impact of 5G on manufacturing value chain activities.

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Apache Airflow® Best Practices: DAG Writing

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!

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What is the difference between hashing and encryption?

U-Next

The distinction between hashing and encryption is that hashing refers to converting permanent data into message digests, but encryption operates in two ways: decoding and encoding the data. Hashing serves to maintain the information’s integrity, while md5 encryption and decryption are used to keep data out of the hands of third parties. Encryption and Hashing difference appears to be indistinguishable, yet they are not.

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Comprehensive Guide to the Normal Distribution

KDnuggets

Drop in for some tips on how this fundamental statistics concept can improve your data science.

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Getting Started with Scala Slick

Rock the JVM

Discover Slick: The popular Scala library for seamless database interactions

Scala 52
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10 Best Online Data Science Courses Hand-Picked for You

Emeritus

Data is the new oil. In a crude, unrefined form, it is of no real use. But once it is cleaned and processed, its value shoots up. From understanding customer behavior to sales performance, everything makes more sense when data is analyzed the right way. The ability to take existing data, and process it with… The post 10 Best Online Data Science Courses Hand-Picked for You appeared first on Emeritus Online Courses.

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How to Achieve High-Accuracy Results When Using LLMs

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

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What is the benefit of using digital data?

U-Next

Introduction. People naturally spend a substantial portion of their day online now that digital media has become an essential part of their lives. As a result, digital platforms have become a very familiar location for individuals worldwide, and people have begun to trust the information provided on digital platforms. The term refers to any electronic information on our computers or cell phones.

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Tech visionaries to address accelerating machine learning, unifying AI platforms and more at the AI Hardware Summit & Edge AI Summit

KDnuggets

Tech visionaries to address accelerating machine learning, unifying AI platforms and taking intelligence to the edge, at the fifth annual AI Hardware Summit & Edge AI Summit, Santa Clara.

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Managing Big Data Quality And 4 Reasons To Go Smaller

Monte Carlo

When it comes to big data quality, bigger data isn’t always better data. But at times we are guilty of forgetting this. At some point in the last two decades, the size of our data became inextricably linked to our ego. The bigger the better. We watched enviously as FAANG companies talked about optimizing hundreds of petabyes in their data lakes or data warehouses.

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Slick Tutorial

Rock the JVM

This article is brought to you by Yadu Krishnan , a new contributor to Rock the JVM. He’s a senior developer and constantly shares his passion for new languages, libraries and technologies. He also loves writing Scala articles, especially for newcomers. This is a beginner-friendly article to get started with Slick, a popular database library in Scala.

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Optimizing The Modern Developer Experience with Coder

Many software teams have migrated their testing and production workloads to the cloud, yet development environments often remain tied to outdated local setups, limiting efficiency and growth. This is where Coder comes in. In our 101 Coder webinar, you’ll explore how cloud-based development environments can unlock new levels of productivity. Discover how to transition from local setups to a secure, cloud-powered ecosystem with ease.