Sat.Aug 06, 2022 - Fri.Aug 12, 2022

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Data Transformation: Standardization vs Normalization

KDnuggets

Increasing accuracy in your models is often obtained through the first steps of data transformations. This guide explains the difference between the key feature scaling methods of standardization and normalization, and demonstrates when and how to apply each approach.

Data 160
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ShortCircuitOperator in Apache Airflow: The guide

Marc Lamberti

The ShortCircuitOperator in Apache Airflow is simple but powerful. It allows skipping tasks based on the result of a condition. There are many reasons why you may want to stop running tasks. Let’s see how to use the ShortCircuitOperator and what you should be aware of. By the way, if you are new to Airflow, check my courses here ; you will get at a special discount.

Coding 130
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How to gather requirements for your data project

Start Data Engineering

1. Introduction 2. Gathering requirements 2.1. Identify the end-users 2.2. Help end-users define the requirements 2.3. End-user validation 2.4. Deliver iteratively 2.5. Handling changing requirements/new features 3. Conclusion 4. Further reading 5. Reference 1. Introduction Data engineers are often caught off guard by undefined end-user assumptions.

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Getting Started with Stream Processing: The Ultimate Guide

Confluent

Whether you’re new to stream processing or evaluating real-time data use cases, learn how stream processing works, its benefits, and the best way to get started.

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A Guide to Debugging Apache Airflow® DAGs

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

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The Importance of Experiment Design in Data Science

KDnuggets

Do you feel overwhelmed by the sheer number of ideas that you could try while building a machine learning pipeline? You can not take the liberty of trying all possible ways to arrive at a solution - hence we discuss the importance of experiment design in data science projects.

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Optimize Your Machine Learning Development And Serving With The Open Source Vector Database Milvus

Data Engineering Podcast

Summary The optimal format for storage and retrieval of data is dependent on how it is going to be used. For analytical systems there are decades of investment in data warehouses and various modeling techniques. For machine learning applications relational models require additional processing to be directly useful, which is why there has been a growth in the use of vector databases.

More Trending

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Serverless Stream Processing with Apache Kafka, Azure Functions, and ksqlDB

Confluent

Confluent’s ksqlDB product offers powerful, serverless stream processing tools that maximize Kafka on Azure.

Kafka 105
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5 Key Data Science Trends & Analytics Trends

KDnuggets

Let’s have a look at some of the key tech trends on the horizon right now.

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Useful Lessons And Repeatable Patterns Learned From Data Mesh Implementations At AgileLab

Data Engineering Podcast

Summary Data mesh is a frequent topic of conversation in the data community, with many debates about how and when to employ this architectural pattern. The team at AgileLab have first-hand experience helping large enterprise organizations evaluate and implement their own data mesh strategies. In this episode Paolo Platter shares the lessons they have learned in that process, the Data Mesh Boost platform that they have built to reduce some of the boilerplate required to make it successful, and so

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Virtual Production?—?A Validation Framework For Unreal Engine

Netflix Tech

Virtual Production?—?A Validation Framework For Unreal Engine By Adam Davis, Jimmy Fusil, Bhanu Srikanth and Girish Balakrishnan Game Engines in Virtual Production The use of Virtual Production and real time technologies has markedly accelerated in the past few years. At Netflix, we are always thrilled to see technology enable new ways of telling stories, and the use of these techniques on some of our shows like 1899 and Super Giant Robot Brothers has given us a front row seat to this exciting e

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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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How Universal Data Distribution Accelerates Complex DoD Missions

Cloudera

We’ve come a long way since 1778 when George Washington’s spies gathered and shared military intelligence on the British Army’s tactical operations in occupied New York. But information broadly, and the management of data specifically, is still “the” critical factor for situational awareness, streamlined operations, and a host of other use cases across today’s tech-driven battlefields. .

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Free AI for Beginners Course

KDnuggets

Microsoft has put together an AI course for beginners, consisting of a 12 week, 24 lesson curriculum, available for free to all.

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Expert Roundtable: Batch vs Streaming in the Modern Data Stack [Video]

Rockset

I had the pleasure of recently hosting a data engineering expert discussion on a topic that I know many of you are wrestling with – when to deploy batch or streaming data in your organization’s data stack. Our esteemed roundtable included leading practitioners, thought leaders and educators in the space, including: Ben Rogojan , aka Seattle Data Guy , is a data engineering and data science consultant (now based in the Rocky Mountain city of Denver) with a popular YouTube channel , Medium blog ,

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Artificial Intelligence Career 2022

U-Next

Introduction. The present era is truly the golden age of technology. Due to the mass-scale adaptation of the latest technologies like the Internet, our life and its objectives are technology bound. We no longer rely on manual methods to get essential things done. For instance, communication services are real-time. We no longer require humans or pigeons to communicate for the most part.

Medical 52
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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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How to Use Apache Iceberg in CDP’s Open Lakehouse

Cloudera

In June 2022, Cloudera announced the general availability of Apache Iceberg in the Cloudera Data Platform (CDP). Iceberg is a 100% open-table format, developed through the Apache Software Foundation , which helps users avoid vendor lock-in and implement an open lakehouse. . The general availability covers Iceberg running within some of the key data services in CDP, including Cloudera Data Warehouse ( CDW ), Cloudera Data Engineering ( CDE ), and Cloudera Machine Learning ( CML ).

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The Evolution From Artificial Intelligence to Machine Learning to Data Science

KDnuggets

By the end of this article, you should be able to distinguish between these concepts.

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ZIO Streams: A Long-Form Introduction

Rock the JVM

Unlock the Power of ZIO Streams: Your Comprehensive Guide to a Key ZIO Ecosystem Abstraction

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Best Artificial Intelligence Books 2022

U-Next

Introduction. Over the past few years, Artificial Intelligence (AI) has made significant progress in imitating human intellect. Nearly every organization today depends on AI, including retail, banking, and healthcare industries. You might spend some time reading these Top Artificial Intelligence Books for Self-Learning to understand something about AI and its ideas.

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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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The future of data architecture is hybrid: choosing your hybrid-first data strategy starts at Cloudera Now 2022

Cloudera

With all of the buzz around cloud computing, many companies have overlooked the importance of hybrid data. Many large enterprises went all-in on cloud without considering the costs and potential risks associated with a cloud-only approach. The truth is, the future of data architecture is all about hybrid. Hybrid data capabilities enable organizations to collect and store information on premises, in public or private clouds, and at the edge — without sacrificing the important analytics needed to

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Top Posts August 1-7: Most In-demand Artificial Intelligence Skills To Learn In 2022

KDnuggets

Most In-demand Artificial Intelligence Skills To Learn In 2022 • The 5 Hardest Things to Do in SQL • 10 Most Used Tableau Functions • Decision Trees vs Random Forests, Explained • Decision Tree Algorithm, Explained.

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ZIO Streams: A Long-Form Introduction

Rock the JVM

Unlock the Power of ZIO Streams: Your Comprehensive Guide to a Key ZIO Ecosystem Abstraction

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Top Cyber Security Tools To Know About In 2022

U-Next

The significance of cyber security tools like Kali Linux needs an instant realization. It includes network forensics, programming, cryptography, encryption, etc., which you can learn here. Introduction To Cyber Security Tools. Dependence on the cyber world will be an ever-growing phenomenon in the following time. Today, our cyber dependency is everywhere, from the health sector to education, banking to business enterprises.

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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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Getting Started with Cloudera Stream Processing Community Edition

Cloudera

Cloudera has a strong track record of providing a comprehensive solution for stream processing. Cloudera Stream Processing (CSP), powered by Apache Flink and Apache Kafka, provides a complete stream management and stateful processing solution. In CSP, Kafka serves as the storage streaming substrate, and Flink as the core in-stream processing engine that supports SQL and REST interfaces.

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6 Ways Businesses Can Benefit From Machine Learning

KDnuggets

Machine learning is gaining popularity rapidly in the business world. Discover the ways that your business can benefit from machine learning.

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Data Engineers Spend Two Days Per Week Firefighting Bad Data, Data Quality Survey Says

Monte Carlo

New! Check out our latest 2023 data quality survey. Just about everyone who talks about data quality (including us!) cites the Gartner survey that poor data quality costs organizations an average $12.9 million every year. It’s a great finding to shed light on the business cost of bad data, but it was time to dig a bit deeper. So we decided to partner with Wakefield Research to survey more than 300 data professionals about: The details around the number of data incidents and how long it tak

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Working As A Business Analyst

U-Next

Introduction – Who Is A Business Analyst? Through data analysis, Business Analysts assist an organization in enhancing its operations, goods, services, and software. These adaptable employees operate in business and IT sectors to close the gap and boost productivity. Through data analysis, Business Analysts assist organizations in optimizing their operations, goods, services, and software.

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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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#ClouderaLife Spotlight: Preety Vatvani

Cloudera

Preety Vatvani, working out of Cloudera’s Singapore office, is Cloudera’s first lead development team lead. Her role is to recruit and work with a team of interns interested in a career in technology sales, and train them so they can field inside sales opportunities and gain valuable early career experience. In this #ClouderaLife Spotlight we talked to Preety about how she got this program off the ground.

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September 26-30: SIAM Conference on Mathematics of Data Science (Hybrid)

KDnuggets

Join researchers, practitioners, educators, and students from around the world working in industry, government, laboratories, and academia for this thought-provoking conference.

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What is Apache Airflow Used For?

ProjectPro

With over 8 million downloads, 20000 contributors, and 13000 stars, Apache Airflow is an open-source data processing solution for dynamically creating, scheduling, and managing complex data engineering pipelines. It is one of the most effective and reliable tools used by data engineers for orchestration, logging, and scheduling workflows or data pipelines.

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Best Approach For Resume screening by Machine Learning-Part 1

Knoldus

Reading Time: 3 minutes Introduction Resume screening is the process of determining whether a candidate is qualified for a role based on his or her education, experience, and other information captured on their resume. It’s a form of pattern matching between a job’s requirements and the qualifications of a candidate based on their resume. The goal of screening resumes is to decide whether to move a candidate forward – Continue Reading The post Best Approach For Resume screening by Machine Learni

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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