The Pragmatic Engineer

JANUARY 12, 2023

👋 Hi, this is Gergely with a bonus, free issue of the Pragmatic Engineer Newsletter. We cover one and a half out of eight topics in today’s subscriber-only issue, Inside Pollen's Transparent Compensation Data. If you’re not yet a subscriber, you also missed this week’s deep-dive on Becoming a Fractional CTO. To get this newsletter every week, subscribe here.

Software Engineer 179

Software Engineer Software Engineering Engineering Raw Data 179

Confessions of a Data Guy

JANUARY 12, 2023

Anyone who’s been roaming around the forest of Data Engineering has probably run into many of the newish tools that have been growing rapidly around the concepts of Data Warehouses, Data Lakes, and Lake Houses … the merging of the old relational database functionality with TB and PB level cloud-based file storage systems. Tools like […] The post Simplify Delta Lake Complexity with mack. appeared first on Confessions of a Data Guy.

Data Lake 162

Data Lake Relational Database Data Warehouse Data Engineering 162

Start Data Engineering

JANUARY 12, 2023

Introduction Sample project Code design patterns 1. Functional design 2. Factory pattern 3. Strategy pattern 4. Singleton, & Object pool patterns Python helpers 1. Typing 2. Dataclass 3. Context Managers 4. Testing with pytest 5. Decorators Misc Conclusion Further reading References Introduction Using the appropriate code design pattern can make your code easy to read, extensible, and seamless to modify existing logic, debug, and enable developers to onboard quicker.

Designing 147

Designing Coding Python Data Pipeline 147

Seattle Data Guy

JANUARY 12, 2023

A data warehouse consultant plays an important role in companies looking to become data-driven. They help companies design and deploy centralized data sets that are easy to use and reliable. But in order to understand why you need a data warehouse consultant we should take a step back. In this article we will not only… Read more The post Data Warehouse Consultants – What Do They Do And Why You Need One appeared first on Seattle Data Guy.

Consulting 130

Consulting Data Warehouse Data Designing 130

Speaker: Timothy Chan, PhD., Head of Data Science

Are you ready to move beyond the basics and take a deep dive into the cutting-edge techniques that are reshaping the landscape of experimentation? 🌐 From Sequential Testing to Multi-Armed Bandits, Switchback Experiments to Stratified Sampling, Timothy Chan, Data Science Lead, is here to unravel the mysteries of these powerful methodologies that are revolutionizing how we approach testing.

Data Science

KDnuggets

JANUARY 12, 2023

Python Matplotlib Cheat Sheets • Free Data Management with Data Science Learning with CS639 • How to Select Rows and Columns in Pandas Using [ ],loc, iloc,at and.iat • Creating a Web Application to Extract Topics from Audio with Python • More Data Science Cheatsheets.

Python 115

Python Data Science Data Management Management 115

Precisely

JANUARY 12, 2023

The pressure is mounting. Data privacy regulations are constantly evolving, and customer preferences and expectations are high and on the move. That means businesses want to provide hyper-personalized experiences, but they also need to ensure they’re using, sharing, and protecting customer data with the utmost integrity. And with the rising focus on environmental, social, and governance (ESG), businesses can no longer rely on quality products alone to win and maintain the support of customers, e

Government 80

Government Data Integration Data Programming 80

Teradata

JANUARY 12, 2023

A team of Teradata data scientists & industry experts worked alongside a U.S. insurance company to develop a solution that would predict the onset of heart failure 6 months in advance. Find out more.

Insurance 75

Insurance Data 75

KDnuggets

JANUARY 12, 2023

What is the Google Data Analytics Certification? And, more importantly, is it still worth getting it in 2023?

Certification 126

Certification Data Analytics Data IT 126

databricks

JANUARY 12, 2023

On the heels of the initial release of H3 support in Databricks Runtime (DBR), we are happy to share ground-breaking performance improvements with.

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KDnuggets

JANUARY 12, 2023

This guide will discuss what data imputation is as well as the types of approaches it supports.

Data 122

Data IT Machine Learning 122

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.

Engineering

Trio

JANUARY 12, 2023

Node.js powers many of the modern real-time web applications you’re likely familiar with. It’s a scalable JavaScript runtime environment widely used to build online games, messengers, video platforms, and more. Technology companies like Netflix, Uber, Trello, and others use Node to create both rich user interfaces (UIs) and server-side environments.

Technology 59

Technology Building Engineering 59

databricks

JANUARY 12, 2023

One of the domains where better decisions mean a better society is the Public Sector. Each and every one of us has a.

Data 74

Data 74

Eventbrite Engineering

JANUARY 12, 2023

Product development at Eventbrite is a practice centered around understanding what our customers need, so we can enhance current features or build new products. In order to achieve this, our product team collaborates across multiple disciplines throughout the company to ensure we’re thinking about customer needs from all angles. Who is involved in product development?

Engineering 52

Engineering Building 52

Acceldata

JANUARY 12, 2023

Data observability helps FinOps teams identify trends, patterns, and potential issues that may not be immediately apparent from looking at the data in isolation.

Data 52

Data 52

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.

Building

Monte Carlo

JANUARY 12, 2023

Editor’s Note: Nestle acquired Freshly in October 2020. For Freshly, food isn’t the only thing that needs to be delivered fresh and fast; our data also needs to be reliable, timely, and most importantly, accurate. To achieve this, we invested in a cloud-based data platform architecture (often referred to as a ‘modern data platform’) that enables us to deliver insights quickly to data consumers across the company.

Architecture 52

Architecture Building Data Warehouse BI 52

Scott Logic

JANUARY 12, 2023

Over the summer, in partnership with Scott Logic, the Institute for Government (IfG) ran a series of roundtable discussions with senior civil servants and government experts on the topic of Data Sharing in Government. This is the third in a series of blog posts in which I reflect on the key themes that came out of those discussions. You can read the first two posts in the series here: ‘ Why you should get the right people in the room from the start ’ and ‘ Rules help you go faster ’.

Government 45

Government Data Building Designing 45