November, 2022

article thumbnail

Who is Still Hiring Software Engineers and EMs?

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. This article was updated in December 2022. In the midst of gloomy news about hiring freezes and layoffs, let's highlight companies which are growing  and hiring.

article thumbnail

Data News — Week 22.47

Christophe Blefari

Capturing the news ( credits ) Hello you, I hope this data news finds you well. Time flies to be honest. I've launched in a rush an Advent of Data. The goal is simple, in December: 24 data people will produce 24 data gems. Every day a new piece of content will be release on a dedicated website. If you wanna join the initiative please reply, we are still looking for a few slots to be filled in.

Data 130
Insiders

Sign Up for our Newsletter

This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.

article thumbnail

DuckDB: Getting started for Beginners

Marc Lamberti

DuckDB is an in-process OLAP DBMS written in C++ blah blah blah, too complicated. Let’s start simple, shall we? DuckDB is the SQLite for Analytics. It has no dependencies, is extremely easy to set up, and is optimized to perform queries on data. In this hands-on tutorial, you will learn what DuckDB is, how to use it, and why it is essential for you.

Datasets 130
article thumbnail

Tame The Entropy In Your Data Stack And Prevent Failures With Sifflet

Data Engineering Podcast

Summary The problems that are easiest to fix are the ones that you prevent from happening in the first place. Sifflet is a platform that brings your entire data stack into focus to improve the reliability of your data assets and empower collaboration across your teams. In this episode CEO and founder Salma Bakouk shares her views on the causes and impacts of "data entropy" and how you can tame it before it leads to failures.

Data Lake 130
article thumbnail

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?

article thumbnail

A Diatribe against Data Contracts and their Abuses.

Confessions of a Data Guy

Ok, so I don’t really mean all that. Or do I? I have no idea what the future holds. Sometimes it’s easy to pick out the winners, like Databricks and Snowflake, you can see, feel, and taste the results of those data products, a delicious and delectable bounty to feast upon. Other things are harder […] The post A Diatribe against Data Contracts and their Abuses. appeared first on Confessions of a Data Guy.

Data 130
article thumbnail

Enabling The People, Enabling The Data with Kulani Likotsi

Jesse Anderson

My guest this week is Kulani Likotsi , the Head of Data Management and Data Governance at one of the four biggest banks in Africa. She’s had a rising career journey going from an analyst, to a Business Intelligence developer, to the data warehouse team, to the data governance team. I was impressed with Kulani’s volunteer spirit. Whenever there was a need, she volunteered.

More Trending

article thumbnail

Data News — Week 22.46

Christophe Blefari

Scracthing the surface ( credits ) Hey you, a new Friday means data news. This week feels a bit like old data news with a variety of articles on different cool topics while I navigate through the actual data trends. Next Monday I'll present "How to build a data dream team" at Y42 meetup. I'll share in next week edition a written form of my talk.

Python 130
article thumbnail

How Much Math Do You Need in Data Science?

KDnuggets

There exist so many great computational tools available for Data Scientists to perform their work. However, mathematical skills are still essential in data science and machine learning because these tools will only be black-boxes for which you will not be able to ask core analytical questions without a theoretical foundation.

article thumbnail

A Look At The Data Systems Behind The Gameplay For League Of Legends

Data Engineering Podcast

Summary The majority of blog posts and presentations about data engineering and analytics assume that the consumers of those efforts are internal business users accessing an environment controlled by the business. In this episode Ian Schweer shares his experiences at Riot Games supporting player-focused features such as machine learning models and recommeder systems that are deployed as part of the game binary.

Systems 130
article thumbnail

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.

article thumbnail

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.

article thumbnail

See, Build, Test, Experiment: Using Data Science to Change the World with Erick Webbe

Jesse Anderson

My guest this week is Erick Webbe , Head of Data Science at bol.com. Bol.com is the biggest online retailer in northwestern Europe, serving about 12 million customers, as a general retailer similar to Amazon.com. Erick has a Master’s degree in Applied Physics. His background in physics forms a basis for his philosophy on life and work. That’s a “philosophy that I still apply to my work every single day […] we think about how we can best help them overcome that problem or solve it, and then

article thumbnail

The Scoop: Tech Layoffs in 2022

The Pragmatic Engineer

I get a lot of scoop sent by readers (thank you!). Sadly, in 2022, a good part of the scoop is about companies laying off people. Some of this scoop has not been reported before. I don't want to broadcast layoffs on Twitter or LinkedIn continuously, but also don't want this information to be lost. This page collects scoops I receive, some of which might not have been reported elsewhere.

article thumbnail

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.

BI 130
article thumbnail

Introduction to Pandas for Data Science

KDnuggets

The Pandas library is core to any Data Science work in Python. This introduction will walk you through the basics of data manipulating, and features many of Pandas important features.

article thumbnail

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.

article thumbnail

Build Data Products Without A Data Team Using AgileData

Data Engineering Podcast

Summary Building data products is an undertaking that has historically required substantial investments of time and talent. With the rise in cloud platforms and self-serve data technologies the barrier of entry is dropping. Shane Gibson co-founded AgileData to make analytics accessible to companies of all sizes. In this episode he explains the design of the platform and how it builds on agile development principles to help you focus on delivering value.

Building 130
article thumbnail

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.

Bytes 145
article thumbnail

How to Build and Deploy Scalable Machine Learning in Production with Apache Kafka

Confluent

Apache Kafka’s Streams API embeds Machine Learning into any app or microservice (Java, Docker, Kubernetes, etc.) to add business value.

article thumbnail

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%.

article thumbnail

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.

article thumbnail

Doing More with Less: 5 Ways Leading Organizations Maximize the Value of their Data

Teradata

"Doing more with less” is a familiar refrain echoing through the halls of many organizations. To answer this call, businesses are searching for efficiency gains & turning to data to unlock savings.

Data 98
article thumbnail

If I Had To Start Learning Data Science Again, How Would I Do It?

KDnuggets

While different ways to learn Data Science for the first time exist, the approach that works for you should be based on how you learn best. One powerful method is to evolve your learning from simple practice into complex foundations, as outlined in this learning path recommended by a physicist who turned into a Data Scientist.

article thumbnail

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
article thumbnail

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.

article thumbnail

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.

article thumbnail

Stream Processing, CEP, Event Sourcing, and Data Streaming Explained

Confluent

What is stream processing, or complex event processing (CEP), and how does it work? Learn about real-time data and event stream analytics in this tutorial.

Process 126
article thumbnail

The Scoop: Turmoil at Twitter

The Pragmatic Engineer

👋 Hi, this is Gergely with a bonus, free issue of the Pragmatic Engineer Newsletter. We cover one out of six topics in today’s subscriber-only The Scoop issue. To get this newsletter every week, subscribe here. On Wednesday, 26 October, Elon Musk entered Twitter’s headquarters in San Francisco with a sink, marking his arrival at the company he’d just bought.

article thumbnail

Teradata Recognized as a Designated Member of the Amazon SageMaker Ready Program

Teradata

Teradata has joined the Amazon SageMaker Ready Program which differentiates Teradata as an AWS Partner Network member with a product that works with Amazon SageMaker & fully supports AWS customers.

article thumbnail

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
article thumbnail

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.

article thumbnail

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.

MongoDB 130
article thumbnail

For your eyes only: improving Netflix video quality with neural networks

Netflix Tech

by Christos G. Bampis , Li-Heng Chen and Zhi Li When you are binge-watching the latest season of Stranger Things or Ozark, we strive to deliver the best possible video quality to your eyes. To do so, we continuously push the boundaries of streaming video quality and leverage the best video technologies. For example, we invest in next-generation, royalty-free codecs and sophisticated video encoding optimizations.

Media 119
article thumbnail

Apache Kafka Goes 1.0

Confluent

The mission-critical deployments, the robust feature set, the long history all say that Kafka is an Enterprise-capable product. Apache Kafka is going 1.0!

Kafka 105
article thumbnail

How DoorDash Secures Data Transfer Between Cloud and On-Premise Data Centers

DoorDash Engineering

As DoorDash’s business grows, engineers strive for a better network infrastructure to ensure more third-party services could be integrated into our system while keeping data securely transmitted. Due to security and compliance concerns, some vendors handling such sensitive data cannot expose services to the public Internet and therefore host their own on-premise data centers.

Cloud 97
article thumbnail

What Is Entity Resolution? How It Works & Why It Matters

Entity Resolution Sometimes referred to as data matching or fuzzy matching, entity resolution, is critical for data quality, analytics, graph visualization and AI. Learn what entity resolution is, why it matters, how it works and its benefits. Advanced entity resolution using AI is crucial because it efficiently and easily solves many of today’s data quality and analytics problems.