Sat.Nov 05, 2022 - Fri.Nov 11, 2022

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Build Better Data Products By Creating Data, Not Consuming It

Data Engineering Podcast

Summary A lot of the work that goes into data engineering is trying to make sense of the "data exhaust" from other applications and services. There is an undeniable amount of value and utility in that information, but it also introduces significant cost and time requirements. In this episode Nick King discusses how you can be intentional about data creation in your applications and services to reduce the friction and errors involved in building data products and ML applications.

Building 130
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Introduction to Historical Loads – for Data Engineers.

Confessions of a Data Guy

There are probably few things in life that will strike more fear and tumult in the heart of the Data Engineer than historical loads. You know, on the surface it seems like such an innocent thing. How could it possibly be, just take a bunch of data stored somewhere and shove it into a table. […] The post Introduction to Historical Loads – for Data Engineers. appeared first on Confessions of a Data Guy.

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3 Useful Python Automation Scripts

KDnuggets

The post highlights three useful applications of using python to automate simple desktop tasks. Stay tuned till the end of the post to find the reference for a bonus resource.

Python 154
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Machine Learning for Fraud Detection in Streaming Services

Netflix Tech

By Soheil Esmaeilzadeh , Negin Salajegheh , Amir Ziai , Jeff Boote Introduction Streaming services serve content to millions of users all over the world. These services allow users to stream or download content across a broad category of devices including mobile phones, laptops, and televisions. However, some restrictions are in place, such as the number of active devices, the number of streams, and the number of downloaded titles.

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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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Clean Up Your Data Using Scalable Entity Resolution And Data Mastering With Zingg

Data Engineering Podcast

Summary Despite the best efforts of data engineers, data is as messy as the real world. Entity resolution and fuzzy matching are powerful utilities for cleaning up data from disconnected sources, but it has typically required custom development and training machine learning models. Sonal Goyal created and open-sourced Zingg as a generalized tool for data mastering and entity resolution to reduce the effort involved in adopting those practices.

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#ClouderaLife Spotlight: Timur Nersesov, Senior Manager of Professional Services Strategy

Cloudera

We celebrate Veterans and Remembrance Day by honoring those who have served in the military. To commemorate this special occasion, we will spotlight Clouderan Timur Nersesov. . Timur was nine when he immigrated to the US. His first memory upon entering the country was a view of the Statue of Liberty and the World Trade Center from the portal window of a plane.

More Trending

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New Series: Creating Media with Machine Learning

Netflix Tech

By Vi Iyengar , Keila Fong , Hossein Taghavi , Andy Yao , Kelli Griggs , Boris Chen , Cristina Segalin , Apurva Kansara , Grace Tang , Billur Engin , Amir Ziai , James Ray , Jonathan Solorzano-Hamilton Welcome to the first post in our multi-part series on how Netflix is developing and using machine learning (ML) to help creators make better media?—?

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What Is a Cybersecurity Audit and How Is It Helpful for Your Business?

U-Next

Introduction . Cybersecurity audits are an essential part of maintaining a secure business. They can help you identify weaknesses in your system, understand how much risk your company faces from cyber security threats and prevent costly data breaches. . This article will explain a security audit and why it’s so important for businesses today.

IT 78
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Diagnose and Debug Apache Kafka Issues: Understanding Increased Request Rate, Response Time, and/or Broker Load

Confluent

The next time you hit a snag in your Kafka cluster, take some time to diagnose and debug. Before committing to making changes to your applications, it’s important to understand what’s causing your problem and uncover the underlying ailment.

Kafka 57
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Understanding Bias-Variance Trade-Off in 3 Minutes

KDnuggets

This article is the write-up of a Machine Learning Lighting Talk, intuitively explaining an important data science concept in 3 minutes.

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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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Using Vehicle Data to Drive Subscription Services

Teradata

The new era of automotive sales will leverage software-defined elements of the vehicle experience that can be tuned, activated or upgraded dependent on the customers preferences.

Data 52
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How Spotify uses Machine Learning?

ProjectPro

Curious about how Spotify generates recommendations for its users? To know more about how Spotify uses AI and how Spotify uses machine learning to personalize the user experience , continue reading this article till the end. With over 82 million songs, 4 billion playlists, and 456M users, Spotify is a name to reckon with in the streaming industry. Spotify is an audio-streaming application owned by Daniel Ek and Martin Lorentzon.

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The Slow, Agonizing Death of the Customer Data Platform

Monte Carlo

At the start of the last decade, circa 2010, marketers found themselves with a problem: marketing tech was messy and out of control. Their customer and prospect data was in the CRM, but the way they spliced and diced their audiences varied based on the communication method and tool. Different segments existed across email and SMS to digital ads and everything in between.

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Confusion Matrix, Precision, and Recall Explained

KDnuggets

Learn these key machine learning performance metrics to ace data science interviews.

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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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Disaster Recovery In Cloud Computing: All You Need To Know

U-Next

Introduction . We’ve all heard the horror stories of companies that lost their data in a disaster. It’s not just businesses—losing your data can be disastrous for anyone. The cloud computing industry is booming, but it’s also still new, so there are lots of ways you could lose your data online. The cloud computing industry is expected to generate nearly 400 billion dollars in revenue by 2021.

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Data Engineering Annotated Monthly – October 2022

Big Data Tools

Greetings from sunny Berlin! Yes, it’s still 20+ °C here – perfect conditions for sitting down on your balcony with the latest issue of your favorite Annotated! 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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What is the Best Big Data Engineer Salary and How to Get it

Emeritus

As you read this, people across the world are texting, posting on social media, and searching on Google, adding to the growing volume of big data. And as big data’s quantity increases so does its significance for companies. Big data has become a pivotal resource to generate information and make insightful decisions. However, it would… The post What is the Best Big Data Engineer Salary and How to Get it appeared first on Emeritus Online Courses.

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Python Control Flow Cheatsheet

KDnuggets

The latest KDnuggets cheatsheet focuses on Python flow control, how we manage the execution order of statements in a program. Check it out for a quick start.

Python 110
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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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Top Upcoming Data Science Trends for 2023

U-Next

It’s that time of the year that excites all tech enthusiasts around the world. As data scientists, we read articles about the industry, consume videos and podcasts on the topic and immerse ourselves in this domain all through the year. And as experts, we also take pride in ‘visualizing’ specific trends for an upcoming year based on the events and occurrences of the current one. .

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Data Engineering Annotated Monthly – October 2022

Big Data Tools

Greetings from sunny Berlin! Yes, it’s still 20+ °C here – perfect conditions for sitting down on your balcony with the latest issue of your favorite Annotated! 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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Adapted Switch-back Testing to Quantify Incrementality for App Marketplace Search Ads

DoorDash Engineering

At DoorDash, we use experimentation as one of the robust approaches to validate the incremental return on the marketing investment. However, performing incrementality tests on advertising platforms can be challenging due to various reasons. Nevertheless we strive to creatively apply proven testing approaches to enable scientifically rigorous experimental designs wherever and whenever possible.

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Announcing a Blog Writing Contest, Winner Gets an NVIDIA GPU!

KDnuggets

KDnuggets and NVIDIA are announcing a blog-writing contest with a GPU focus, with the winner receiving an RTX 3080 Ti GPU!

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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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Customer Attrition: Definition, Churn Rate Analysis, and Prediction

U-Next

Introduction . For most businesses, accurately forecasting customer attrition rate and proactively preventing it represents a significant additional potential revenue source. A healthy relationship with customers is important for several reasons. First, when customers feel valued and appreciated, they are more likely to continue doing business with a company.

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Introducing Confluent Platform 7.3

Confluent

Hardening the innovative feature set introduced in recent releases, Confluent Platform 7.3 enables you to modernize your tech stack, reduce TCO and ops burden, and accelerate the development of stream processing pipelines.

Process 52
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Beyond the Hype: Is the Metaverse built on foundations of hype? by Colin Eberhardt

Scott Logic

In this episode, I’m joined by my colleague Ollie, and guests Johanna from Finnish National Gallery, and Lilly , a Blockchain & Web3 Specialist. As we’re discussing quite a challenging and volatile topic, I should state that the opinions raised in this podcast are personal views rather than the views of any current or former employer. In our conversation we ask the question “what is Web3.0”, and explore what it means to be a decentralised technology.

Cloud 52
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Top Posts October 31 – November 6: How to Select Rows and Columns in Pandas

KDnuggets

How to Select Rows and Columns in Pandas Using [ ],loc, iloc,at and.iat • 15 Free Machine Learning and Deep Learning Books • Decision Tree Algorithm, Explained • Should I Learn Julia? • 7 Techniques to Handle Imbalanced Data.

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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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The Importance of Cyber Security in Banking Sector

U-Next

Introduction . Cybersecurity is increasingly becoming a major concern for banks and financial institutions. With the growing number of online transactions and the increasing instances of cyber-attacks, it has become essential for banks to secure their data and protect themselves from cyber security threats. . Banks are using various strategies, such as firewalls, antivirus software, etc., to protect their systems from hackers but they need to go beyond that and implement effective cybersecurit

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How Cloud Academy Is Using Cube to Win the Data Challenge

Cloud Academy

At Cloud Academy , we manage a lot of data every day. We have different sources we get data from such as feedback, events, and platform usage, and we need to get it, apply transformations, and finally present the data to our internal stakeholders and our customers. Because of the variety of the data that we provide, we recently implemented Cube , a Headless BI solution.

Cloud 52
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How Striim Extends Azure Synapse Link

Striim

We recently announced that Striim is a participant in Microsoft’s Intelligent Data Platform partner ecosystem. We’re also excited to share that Striim extends Synapse Link to add support for additional source systems. There’s no question about the benefits of Azure Synapse. Whether it’s around on-demand usage, the ability to reduce high CapEx projects and increase cost savings, or enabling insight-driven decisions as fast as possible, Synapse can be an integral piece to your digital transformat

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Map out your journey towards SAS Certification

KDnuggets

Nearly 50% of certification holders said it was easier to find new jobs, enter new career fields and land job interviews. Read on to learn about every resource you’ll need from start to finish to receive your SAS certification.

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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.