Sat.Jun 04, 2022 - Fri.Jun 10, 2022

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NLP, NLU, and NLG: What’s The Difference? A Comprehensive Guide

KDnuggets

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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An In-Depth Data Mesh Discussion with Zhamak Dehghani

Jesse Anderson

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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The Future Is Hybrid Data, Embrace It

Cloudera

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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Bringing The Modern Data Stack To Everyone With Y42

Data Engineering Podcast

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

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Apache Airflow® Best Practices for ETL and ELT Pipelines

Whether you’re creating complex dashboards or fine-tuning large language models, your data must be extracted, transformed, and loaded. ETL and ELT pipelines form the foundation of any data product, and Airflow is the open-source data orchestrator specifically designed for moving and transforming data in ETL and ELT pipelines. This eBook covers: An overview of ETL vs.

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Learn MLOps with This Free Course

KDnuggets

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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A Model Implementation

Teradata

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.

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More Trending

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Simplify Data Security For Sensitive Information With The Skyflow Data Privacy Vault

Data Engineering Podcast

Summary The best way to make sure that you don’t leak sensitive data is to never have it in the first place. The team at Skyflow decided that the second best way is to build a storage system dedicated to securely managing your sensitive information and making it easy to integrate with your applications and data systems. In this episode Sean Falconer explains the idea of a data privacy vault and how this new architectural element can drastically reduce the potential for making a mistake wit

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Python: The programming language of machine learning

KDnuggets

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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How to Elastically Scale Apache Kafka Clusters on Confluent Cloud

Confluent

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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#ClouderaLife Spotlight: Hassan Mirza

Cloudera

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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Apache Airflow®: The Ultimate Guide to 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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Scaling Appsec at Netflix (Part 2)

Netflix Tech

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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A Structured Approach To Building a Machine Learning Model

KDnuggets

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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Stateful Streams with Apache Pulsar and Apache Flink

Rock the JVM

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

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Streaming Edge Data Collection and Global Data Distribution

Cloudera

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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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.

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Is the 4-Year Degree Obsolete?

Elder Research

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

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How is Data Mining Different from Machine Learning?

KDnuggets

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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Accelerate testing in Apache Airflow through DAG versioning

Zalando Engineering

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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Data Engineering Annotated Monthly – May 2022

Big Data Tools

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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15 Modern Use Cases for Enterprise Business Intelligence

Large enterprises face unique challenges in optimizing their Business Intelligence (BI) output due to the sheer scale and complexity of their operations. Unlike smaller organizations, where basic BI features and simple dashboards might suffice, enterprises must manage vast amounts of data from diverse sources. What are the top modern BI use cases for enterprise businesses to help you get a leg up on the competition?

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Apache Hop 2.0 released!

know.bi

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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Data Science is Overrated, Here’s Why

KDnuggets

Think twice before jumping on the data science bandwagon.

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How Confluent Treats Incidents in the Cloud

Confluent

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.

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Data Engineering Annotated Monthly – May 2022

Big Data Tools

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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Prepare Now: 2025s Must-Know Trends For Product And Data Leaders

Speaker: Jay Allardyce, Deepak Vittal, Terrence Sheflin, and Mahyar Ghasemali

As we look ahead to 2025, business intelligence and data analytics are set to play pivotal roles in shaping success. Organizations are already starting to face a host of transformative trends as the year comes to a close, including the integration of AI in data analytics, an increased emphasis on real-time data insights, and the growing importance of user experience in BI solutions.

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How Do We Transform and Model Data at Cloud Academy?

Cloud Academy

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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Understanding Functions for Data Science

KDnuggets

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

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MongoDB vs DynamoDB Head-to-Head: Which Should You Choose?

Rockset

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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Building An External Data Product Is Different. Trust Me. (but read this anyway)

Monte Carlo

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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How to Drive Cost Savings, Efficiency Gains, and Sustainability Wins with MES

Speaker: Nikhil Joshi, Founder & President of Snic Solutions

Is your manufacturing operation reaching its efficiency potential? A Manufacturing Execution System (MES) could be the game-changer, helping you reduce waste, cut costs, and lower your carbon footprint. Join Nikhil Joshi, Founder & President of Snic Solutions, in this value-packed webinar as he breaks down how MES can drive operational excellence and sustainability.

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Roadmap to Becoming a Successful Data Engineer

Rock the JVM

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

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3 Ways Understanding Bayes Theorem Will Improve Your Data Science

KDnuggets

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

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Top 18 Data Science Facebook Groups

KDnuggets

Join the best data science groups on Facebook to share insights and experiences, ask for guidance, and build valuable connections.

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Every Engineer Should and Can Learn Machine Learning

KDnuggets

Read this interview with Sourabh Bajaj of co:rise, discussing the evolution of the ML role, how he designed the course to connect with today’s business needs, and how he thinks students can apply the covered topics at the end of each course!

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The Cloud Development Environment Adoption Report

Cloud Development Environments (CDEs) are changing how software teams work by moving development to the cloud. Our Cloud Development Environment Adoption Report gathers insights from 223 developers and business leaders, uncovering key trends in CDE adoption. With 66% of large organizations already using CDEs, these platforms are quickly becoming essential to modern development practices.