KDnuggets

JUNE 10, 2022

This article aims to quickly cover the similarities and differences between NLP, NLU, and NLG and talk about what the future for NLP holds.

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Cloudera

JUNE 7, 2022

We live in a hybrid data world. In the past decade, the amount of structured data created, captured, copied, and consumed globally has grown from less than 1 ZB in 2011 to nearly 14 ZB in 2020. Impressive, but dwarfed by the amount of unstructured data, cloud data, and machine data – another 50 ZB. In fact, the total amount of data is expected to nearly triple by 2025.

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IT Unstructured Data Data Architecture Government 112

Data Engineering Podcast

JUNE 5, 2022

Summary Cloud services have made highly scalable and performant data platforms economical and manageable for data teams. However, they are still challenging to work with and manage for anyone who isn’t in a technical role. Hung Dang understood the need to make data more accessible to the entire organization and created Y42 as a better user experience on top of the "modern data stack" In this episode he shares how he designed the platform to support the full spectrum of technical ex

MongoDB 100

MongoDB MySQL Data Lake Data Warehouse 100

Teradata

JUNE 9, 2022

How do you take the first steps to free the power of analytics from on-premise systems whilst protecting valuable data and de-risking transformation? Find out more.

Systems 85

Systems Data 85

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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

JUNE 6, 2022

Learn to train and track your experiments, create ML pipelines, model deployment, monitor the performance in production, and adopt best practices from DevOps.

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Cloudera

JUNE 10, 2022

Here at Cloudera, we’re committed to helping make the lives of data practitioners as painless as possible. For data scientists, we continue to provide new Applied Machine Learning Prototypes (AMPs), which are open source and available on GitHub. These pre-built reference examples are complete end-to-end data science projects. In Cloudera Machine Learning (CML), you can deploy them with the single click of a button, bringing data scientists that much closer to providing value.

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Machine Learning Data Science Project Systems 102

Confluent

JUNE 7, 2022

How to elastically scale Kafka clusters from 0 to 100 MB/s and back with automatic cluster resizing, data rebalancing, real-time consumption optimization, and monitoring in seconds.

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Kafka Cloud Data 81

KDnuggets

JUNE 6, 2022

You can't avoid learning Python if you work on machine learning problems. You need to know what other people's code means and you need to convey your ideas to them too.

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Programming Language Machine Learning Python Programming 159

Cloudera

JUNE 8, 2022

In this #ClouderaLife Spotlight Hassan talks about three life themes that have kept him moving and motivated: learning from his father’s work ethic despite his family’s forcible displacement from their country of origin, his early experience with organized sports, and the value of mentorship. Hassan describes how these experiences led him to give back to his family and community by becoming a Mental Health First Aider and a mentor for refugees seeking a better life.

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Consulting Recruitment Finance Certification 95

Netflix Tech

JUNE 6, 2022

By Astha Singhal , Lakshmi Sudheer , Julia Knecht The Application Security teams at Netflix are responsible for securing the software footprint that we create to run the Netflix product, the Netflix studio, and the business. Our customers are product and engineering teams at Netflix that build these software services and platforms. The Netflix cultural values of ‘Context not Control’ and ‘Freedom and Responsibility’ strongly influence how we do Security at Netflix.

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Software Engineer Software Engineering Professional Services Education 71

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

Rock the JVM

JUNE 9, 2022

Discover how to integrate Apache Pulsar with Apache Flink: perform advanced data enrichment using state from multiple topics

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Data 52

KDnuggets

JUNE 10, 2022

This article gives you a glimpse of how to approach a machine learning project with a clear outline of an easy-to-implement 5-step process.

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Machine Learning Building Project Process 158

Cloudera

JUNE 9, 2022

In the first blog of the Universal Data Distribution blog series , we discussed the emerging need within enterprise organizations to take control of their data flows. From origin through all points of consumption both on-prem and in the cloud, all data flows need to be controlled in a simple, secure, universal, scalable, and cost-effective way. With the rapid increase of cloud services where data needs to be delivered (data lakes, lakehouses, cloud warehouses, cloud streaming systems, cloud busi

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Data Collection Data Lake Unstructured Data Retail 94

Elder Research

JUNE 9, 2022

The post Is the 4-Year Degree Obsolete? appeared first on Elder Research.

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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

Monte Carlo

JUNE 9, 2022

Adopting a cloud data warehouse like Snowflake is an important investment for any organization that wants to get the most value out of their data. The Forrester’s Total Economic Impact of Snowflake report uncovered a customer ROI of 612% with total benefits of more than $21 million across three years. ? This immediate value is just scratching the surface.

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IT Healthcare Raw Data Data Warehouse 52

KDnuggets

JUNE 8, 2022

How about we take a closer look at data mining and machine learning so we know how to catch their different ends?

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Data Mining Machine Learning Data 156

Zalando Engineering

JUNE 9, 2022

Introduction In the Performance Marketing department, we run paid advertisement campaigns for Zalando. To do so, we build services that allow us to manage campaigns, optimize and distribute content, and measure the performance of the campaigns at scale. Talking about measurement, one of the core systems we’ve built and continuously extended over the years is our so-called marketing ROI (return on investment) pipeline.

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Database Coding Python Data Preparation 52

Big Data Tools

JUNE 8, 2022

It’s the start of June. That means it’s time to start taking summer vacations and enjoying some fresh juice alongside your fresh news! Hi, I’m Pasha Finkelshteyn , and I’ll be your guide through this month’s news. I’ll offer my impressions of recent developments in the data engineering space and highlight new ideas from the wider community.

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Data Engineering Data Engineer Engineering Kafka 52

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

know.bi

JUNE 8, 2022

The Apache Hop PMC and community released Apache Hop 2.0.0 late last week. This is the second major release of the platform and the first major release after Hop graduated as a Top-Level ASF Project.

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Project 52

KDnuggets

JUNE 7, 2022

Think twice before jumping on the data science bandwagon.

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Data Science Data 138

Confluent

JUNE 8, 2022

Fast infrastructure growth often comes with issues. Don't panic - learn from them! Here's how we analyze, monitor, and fix incidents at Confluent, and what we do to prevent risk.

Cloud 52

Cloud 52

Big Data Tools

JUNE 8, 2022

It’s the start of June. That means it’s time to start taking summer vacations and enjoying some fresh juice alongside your fresh news! Hi, I’m Pasha Finkelshteyn , and I’ll be your guide through this month’s news. I’ll offer my impressions of recent developments in the data engineering space and highlight new ideas from the wider community.

Data Engineering 52

Data Engineering Data Engineer Engineering Kafka 52

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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

Cloud Academy

JUNE 7, 2022

How Do We Transform and Model Data at Cloud Academy? “Data is the new gold”: a common phrase over the last few years. For all organizations, data and information have become crucial to making good decisions for the future and having a clear understanding of how they’re making progress — or otherwise. At Cloud Academy, we strive to make data-informed decisions.

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Cloud Data Warehouse Raw Data Business Intelligence 52

KDnuggets

JUNE 9, 2022

Most data science problems boil down to finding the mathematical function that describes the relationship between feature and target variables.

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Data Science Data 134

Rockset

JUNE 7, 2022

Note: We have updated this post to reflect comments and corrections we received from readers. We thank those who sent in comments for helping us make this post more accurate and useful. — Editor Databases are a key architectural component of many applications and services. Traditionally, organizations have chosen relational databases like SQL Server, Oracle , MySQL and Postgres.

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MongoDB NoSQL Relational Database Non-relational Database 52

Monte Carlo

JUNE 7, 2022

The data world moves unapologetically fast. It seems like just last year we started talking about how data teams were transitioning from providing a service, to treating data like a product or even building internal products across a decentralized data mesh architecture. Wait, that was *checks notes* January of this year?? Wow. Who knows, maybe Ferris Bueller became a data engineer.

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Building Raw Data Architecture Machine Learning 52

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

Rock the JVM

JUNE 5, 2022

Discover key insights from one of Rock the JVM's standout students on building a successful career in Data Engineering

Data Engineering 52

Data Engineering Data Engineer Engineering Data 52

KDnuggets

JUNE 7, 2022

Mastery of this intuitive statistical concept will advance your credibility as a decision-maker.

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Data Science Data 134

Jesse Anderson

JUNE 7, 2022

In 2021 I had the pleasure to first get to know and speak with Zhamak Dheghani, Director of Emerging Technologies at ThoughtWorks, in season one of the Data Dream Team series. Zhamak is a software engineer and architect who is (in)famously known as the founder of the data mesh concept, a paradigm shift in how we manage data-driven value at scale. I interviewed Zhamak last season as more of an introduction to Data Mesh.

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Software Engineer Software Engineering Generalist Data 130

Monte Carlo

JUNE 6, 2022

For many data teams, the past 5 years has witnessed an evolution of technology, teams, and processes that calls to mind another significant period in time: the Industrial Revolution. From the late 18th century to mid-19th century, the Industrial Revolution transformed economies with new tools, cheaper power sources, and more streamlined ways of organizing work in factories.

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Machine Learning Government Algorithm Data 52

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