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

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Data News — Week 22.45

Christophe Blefari

Mastodon and Hadoop are on a boat. ( credits ) Hey you, 11th of November was usually off for me. Since I've started my freelancing activities I don't really follow the usual calendar, working whenever I need/want. I mainly work 3 to 4 days a week. Which is awesome but it has a major drawback I never took a break longer than 1 week. Which, yeah, kinda sucks.

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Cruel Changes at Twitter

The Pragmatic Engineer

👋 Hi, this is Gergely with a bonus, free issue of the Pragmatic Engineer Newsletter. We cover one out of five topics in today’s subscriber-only The Scoop issue. To get this newsletter every week, subscribe here. Last Thursday, I covered the turmoil at Twitter , of how people worked long hours through the weekend and how most expected layoffs of about 50%.

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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.

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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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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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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 159
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Seeing through hardware counters: a journey to threefold performance increase

Netflix Tech

By Vadim Filanovsky and Harshad Sane In one of our previous blogposts, A Microscope on Microservices we outlined three broad domains of observability (or “levels of magnification,” as we referred to them)?—?Fleet-wide, Microservice and Instance. We described the tools and techniques we use to gain insight within each domain. There is, however, a class of problems that requires an even stronger level of magnification going deeper down the stack to introspect CPU microarchitecture.

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More Trending

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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.

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Approaches to Text Summarization: An Overview

KDnuggets

This article will present the main approaches to text summarization currently employed, as well as discuss some of their characteristics.

Process 160
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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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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.

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

Speaker: Jay Allardyce, Deepak Vittal, and Terrence Sheflin

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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Ozone Write Pipeline V2 with Ratis Streaming

Cloudera

Cloudera has been working on Apache Ozone, an open-source project to develop a highly scalable, highly available, strongly consistent distributed object store. Ozone is able to scale to billions of objects and hundreds petabytes of data. It enables cloud-native applications to store and process mass amounts of data in a hybrid multi-cloud environment and on premises.

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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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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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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.

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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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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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Confusion Matrix, Precision, and Recall Explained

KDnuggets

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

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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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A Product Management Program Designed To Get You Industry Ready In Just 6 Months!

U-Next

The world today is brimming with new-age technologies that have burst open a door of opportunities for every single one of us. Determination to experiment, the grit to consistently upskill, and the courage to try something new is all it takes to own a thriving career in any of your chosen fields. . Irrespective of previous education or inclination, one skill-based domain that is extremely popular today is Product Management.

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Improving the Accuracy of Generative AI Systems: A Structured Approach

Speaker: Anindo Banerjea, CTO at Civio & Tony Karrer, CTO at Aggregage

When developing a Gen AI application, one of the most significant challenges is improving accuracy. This can be especially difficult when working with a large data corpus, and as the complexity of the task increases. The number of use cases/corner cases that the system is expected to handle essentially explodes. 💥 Anindo Banerjea is here to showcase his significant experience building AI/ML SaaS applications as he walks us through the current problems his company, Civio, is solving.

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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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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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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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Probability Distribution Explained: Formula, Types, and Uses 

U-Next

Introduction . As an interdisciplinary field, Data Science has gained popularity. It extracts relevant facts and insights from structured, unstructured, and semi-structured datasets using scientific approaches, algorithms, methods, and tools. Companies expand their businesses, improve production, and anticipate customer needs using these data and insights.

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The Ultimate Guide To Data-Driven Construction: Optimize Projects, Reduce Risks, & Boost Innovation

Speaker: Donna Laquidara-Carr, PhD, LEED AP, Industry Insights Research Director at Dodge Construction Network

In today’s construction market, owners, construction managers, and contractors must navigate increasing challenges, from cost management to project delays. Fortunately, digital tools now offer valuable insights to help mitigate these risks. However, the sheer volume of tools and the complexity of leveraging their data effectively can be daunting. That’s where data-driven construction comes in.

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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.

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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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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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Business Intelligence 101: How To Make The Best Solution Decision For Your Organization

Speaker: Evelyn Chou

Choosing the right business intelligence (BI) platform can feel like navigating a maze of features, promises, and technical jargon. With so many options available, how can you ensure you’re making the right decision for your organization’s unique needs? 🤔 This webinar brings together expert insights to break down the complexities of BI solution vetting.

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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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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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Scaling our customer review system for peak traffic

Booking.com Engineering

Abstract : Customer reviews is a high-traffic system, which requires scaling to meet peak usage times. Our scaling solution? A consistent hashing algorithm that allowed for scaling without removing any of our availability zones from receiving traffic. We also optimally utilized our hardware in the process — all with no noticeable impact on users. Review system high level architecture About the article: Reviews on Booking.com are essential to our guests to make their best possible decision when s

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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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Driving Responsible Innovation: How to Navigate AI Governance & Data Privacy

Speaker: Aindra Misra, Senior Manager, Product Management (Data, ML, and Cloud Infrastructure) at BILL

Join us for an insightful webinar that explores the critical intersection of data privacy and AI governance. In today’s rapidly evolving tech landscape, building robust governance frameworks is essential to fostering innovation while staying compliant with regulations. Our expert speaker, Aindra Misra, will guide you through best practices for ensuring data protection while leveraging AI capabilities.