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

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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.

Project 130
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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 159
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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.

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From Developer Experience to Product Experience: How a Shared Focus Fuels Product Success

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.

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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.

Process 120
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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. .

More Trending

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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

Metadata 100
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Escaping the Prison of Forecasting

Teradata

Retail and CPG businesses are trapped by the disconnect between today’s digital customers and long-established demand forecasting and supply-chain processes. Find out more.

Retail 97
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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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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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Peak Performance: Continuous Testing & Evaluation of LLM-Based Applications

Speaker: Aarushi Kansal, AI Leader & Author and Tony Karrer, Founder & CTO at Aggregage

Software leaders who are building applications based on Large Language Models (LLMs) often find it a challenge to achieve reliability. It’s no surprise given the non-deterministic nature of LLMs. To effectively create reliable LLM-based (often with RAG) applications, extensive testing and evaluation processes are crucial. This often ends up involving meticulous adjustments to prompts.

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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 104
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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 ,

Bytes 52
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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.

Algorithm 116
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How to Build an Experimentation Culture for Data-Driven Product Development

Speaker: Margaret-Ann Seger, Head of Product, Statsig

Experimentation is often seen as an aspirational practice, especially at smaller, fast-moving companies who are strapped for time and resources. So, how can you get your team making decisions in a more data-driven way while continuing to remain lean and maintaining ship velocity? In this webinar, Margaret-Ann Seger, Head of Product at Statsig, will teach you how to build an experimentation culture from the ground-up, graduating from just getting started with data-driven development to operating

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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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How To Create Data Trust Within Your Organization

Monte Carlo

My Painful Data Trust Experience Many years ago, an exec approached me after a contentious meeting and asked, “Shane, so is the data trustworthy?” Perhaps you can relate. My response at the time probably did not build confidence: “Some of it, if not precise, is at least directionally useful.” I’ve been pondering this question and my unsatisfying response recently as I talk to data leaders about what data quality metric they should use to communicate data reliability, whether that be to executive

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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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AI for Ukraine is a new educational project from AI HOUSE to support the Ukrainian tech community

KDnuggets

“AI for Ukraine” is a series of workshops and lectures held by international artificial intelligence experts to support the development of Ukraine’s tech community during the war. This is a non-commercial educational project by AI HOUSE – a company focused on building the AI/ML community in Ukraine and is part of the Roosh tech ecosystem.

Education 108
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Entity Resolution Checklist: What to Consider When Evaluating Options

Are you trying to decide which entity resolution capabilities you need? It can be confusing to determine which features are most important for your project. And sometimes key features are overlooked. Get the Entity Resolution Evaluation Checklist to make sure you’ve thought of everything to make your project a success! The list was created by Senzing’s team of leading entity resolution experts, based on their real-world experience.

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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.

Retail 52
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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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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.

Scala 52
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Tuning XGBoost Hyperparameters

KDnuggets

Hyperparameter tuning is about finding a set of optimal hyperparameter values which maximizes the model's performance, minimizes loss, and produces better outputs.

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The Path to Product Excellence: Avoiding Common Pitfalls and Enhancing Communication

Speaker: David Bard, Principal at VP Product Coaching

In the fast-paced world of digital innovation, success is often accompanied by a multitude of challenges - like the pitfalls lurking at every turn, threatening to derail the most promising projects. But fret not, this webinar is your key to effective product development! Join us for an enlightening session to empower you to lead your team to greater heights.

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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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Degree Data Science

U-Next

A multidisciplinary area called Data Science makes it possible to draw information from organised and unorganised data. Read on to learn more about succeeding with a degree in this field. Introduction – What is Data Science? The field of study known as Data Science focuses on extracting knowledge from massive volumes of data utilising numerous science techniques, programs, and procedures.

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How Does Snowflake Storage Work? (Databases & Schemas) | Propel Data Analytics Blog

Propel Data

Databases and schemas ("namespaces") are used to organize data in Snowflake storage, which uses a columnar format internally for analytics.

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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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Reimagined: Building Products with Generative AI

“Reimagined: Building Products with Generative AI” is an extensive guide for integrating generative AI into product strategy and careers featuring over 150 real-world examples, 30 case studies, and 20+ frameworks, and endorsed by over 20 leading AI and product executives, inventors, entrepreneurs, and researchers.

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Big Query DML Statements Technique: A small Guide

Knoldus

Reading Time: 3 minutes In this blog we are going to learn about some of the key Big Query DML statements. Data plays an integral part in any organisation. With the data-driven nature of modern organisations, almost all businesses and their technological decisions are based on the available data. Let’s assume that we have an application distributed across multiple servers in different regions of a cloud service provider, and Continue Reading The post Big Query DML Statements Technique: A s

Cloud 52
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Machine Learning Interview Questions

U-Next

Before heading out for a Machine Learning interview, find time to go through this quick recap blog on the fundamentals of Machine Learning. Introduction to Machine Learning Interview Questions. Data Science and Machine Learning are two of the most widely used technologies around the globe nowadays. This thorough blog includes some of the most typical Machine Learning interview questions to assist you in reviewing all the essential knowledge and abilities to achieve your desired position.

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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.

Process 92
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KDnuggets News, August 10: Free AI for Beginners Course • Most In-demand Artificial Intelligence Skills To Learn In 2022

KDnuggets

Free AI for Beginners Course • Most In-demand Artificial Intelligence Skills To Learn In 2022 • Getting Started with SQL Cheatsheet • 3 Free Statistics Courses for Data Science • The Complete Collection of Data Science Projects – Part 1.

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The Big Payoff of Application Analytics

Outdated or absent analytics won’t cut it in today’s data-driven applications – not for your end users, your development team, or your business. That’s what drove the five companies in this e-book to change their approach to analytics. Download this e-book to learn about the unique problems each company faced and how they achieved huge returns beyond expectation by embedding analytics into applications.