Seattle Data Guy

AUGUST 9, 2023

Learning about how to data models from basic star schemas on the internet is like learning data science using the IRIS data set. It works great as a toy example. But it doesn’t match real life at all. Data modeling in real life requires you fully understand the data sources and your business use cases.… Read more The post Why Is Data Modeling So Challenging – How To Data Model For Analytics appeared first on Seattle Data Guy.

Data Science 246

Data Science Data Consulting IT 246

The Pragmatic Engineer

AUGUST 10, 2023

👋 Hi, this is Gergely with a bonus, free issue of the Pragmatic Engineer Newsletter. In every issue, I cover topics related to Big Tech and startups through the lens of engineering managers and senior engineers. In this article, we cover one out of five topics from today’s subscriber-only The Pulse issue. To get full issues twice a week, subscribe here.

Engineering 191

Engineering Recruitment Retail Software Engineer 191

Confessions of a Data Guy

AUGUST 11, 2023

Do you think I’m just trying to get you to click? Maybe. Maybe not. After working in and around Data Teams for well over a decade, with both the smartest people to touch the keyboard, and the others, it’s become quite clear to me what the number one skill that identifies a Senior level Engineering […] The post Senior Engineer – The Number One Skill appeared first on Confessions of a Data Guy.

Engineering 130

Engineering Data IT Data Engineering 130

Waitingforcode

AUGUST 10, 2023

There are probably not that many people working today on the flat files with Structured Streaming than 5 years ago thanks to the table file formats. However, if you are in this group and are still generating CSVs or JSONs with the streaming sink, brace yourself, the memory problems are coming if you don't take action!

130

130

Advertisement

Generative AI is upending the way product developers & end-users alike are interacting with data. Despite the potential of AI, many are left with questions about the future of product development: How will AI impact my business and contribute to its success? What can product managers and developers expect in the future with the widespread adoption of AI?

Data

Data Engineering Podcast

AUGUST 6, 2023

Summary As businesses increasingly invest in technology and talent focused on data engineering and analytics, they want to know whether they are benefiting. So how do you calculate the return on investment for data? In this episode Barr Moses and Anna Filippova explore that question and provide useful exercises to start answering that in your company.

Machine Learning 130

Machine Learning SQL Data Data Engineering 130

The Pragmatic Engineer

AUGUST 10, 2023

👋 Hi, this is Gergely with a bonus, free issue of the Pragmatic Engineer Newsletter. In every issue, I cover topics related to Big Tech and startups through the lens of engineering managers and senior engineers. In this article, we cover one out of five topics from today’s subscriber-only The Pulse issue. To get full issues twice a week, subscribe here.

Retail 172

Retail Utilities Software Engineer Software Engineering 172

Tweag

AUGUST 9, 2023

Why link statically against musl? Have you ever faced compatibility issues when dealing with Linux binary executables? The culprit is often the libc implementation, glibc. Acting as the backbone of nearly all Linux distros, glibc is the library responsible for providing standard C functions. Yet, its version compatibility often poses a challenge. Binaries compiled with a newer version of glibc may not function on systems running an older one, creating a compatibility headache.

Utilities 93

Utilities Building Coding Project 93

Snowflake

AUGUST 7, 2023

Welcome to Snowflake’s Startup Spotlight, where we learn about awesome companies building businesses on Snowflake. Can accounts receivable be an agent of change? Tesorio Co-Founder and CTO Fabio Fleitas thinks so, and his startup’s AI/ML-driven platform aims to give finance teams better control over their cash flow so they can have greater impact on their organizations’ success.

Finance 90

Finance Banking Data Science Technology 90

Engineering at Meta

AUGUST 7, 2023

Fixit is dead! Long live Fixit 2 – the latest version of our open-source auto-fixing linter. Fixit 2 allows developers to efficiently build custom lint rules and perform auto-fixes for their codebases. Fixit 2 is available today on PyPI. Python is one of the most popular languages in use at Meta. Meta’s production engineers (PEs) are specialized software engineers (SWEs) who focus on reliability, efficiency, and scalability.

Python 84

Python Coding Project Engineering 84

KDnuggets

AUGUST 11, 2023

In this article, I explore the benefits of specialization for data scientists. Drawing on my own experience as a data scientist, I argue that specializing in a specific area can help you stand out in a crowded job market and provide you with more fulfilling career opportunities.

Data 95

Data 95

Advertisement

Many organizations today are unlocking the power of their data by using graph databases to feed downstream analytics, enahance visualizations, and more. Yet, when different graph nodes represent the same entity, graphs get messy. Watch this essential video with Senzing CEO Jeff Jonas on how adding entity resolution to a graph database condenses network graphs to improve analytics and save your analysts time.

Database

databricks

AUGUST 8, 2023

In Part 1 of this blog series, we discussed how Databricks enables organizations to develop, manage and operate processes that extract value from.

Data 90

Data Process Management 90

ArcGIS

AUGUST 7, 2023

Here's a a re-think on a classic. I'll rationalize some data-viz choices and layout choices and end up with something completely different.

Data 83

Data 83

Confluent

AUGUST 11, 2023

Meet Commercial AE Niki Kapsi and learn about the “entrepreneurial” side of her role at Confluent.

98

98

KDnuggets

AUGUST 10, 2023

Voice assistants like Siri, Alexa and Google Assistant are household names, but they still don't do well in multilingual settings. This article first provides an overview of how voice assistants work, and then dives into the top 5 challenges for voice assistants when it comes to providing a superior multilingual user experience. It also provides strategies for mitigation of these challenges.

Technology 92

Technology IT Process 92

Speaker: Scott Sehlhorst

We know we want to create products which our customers find to be valuable. Whether we label it as customer-centric or product-led depends on how long we've been doing product management. There are three challenges we face when doing this. The obvious challenge is figuring out what our users need; the non-obvious challenges are in creating a shared understanding of those needs and in sensing if what we're doing is meeting those needs.

Certification

databricks

AUGUST 10, 2023

At this year's Data+AI Summit, Databricks SQL continued to push the boundaries of what a data warehouse can be, leveraging AI across the.

SQL 93

SQL Data Warehouse Data 93

Snowflake

AUGUST 8, 2023

Snowflake recently announced a collaboration with NVIDIA to make it easy to run NVIDIA accelerated computing workloads directly within Snowflake accounts. One interesting use case is to train, customize, and deploy large language models (LLMs) safely and securely within Snowflake. Our new Snowpark Container Services , currently in private preview, together with NVIDIA AI, makes this possible.

Generalist 76

Generalist Data Ingestion SQL Technology 76

Confluent

AUGUST 8, 2023

Learn what an Apache Kafka cluster is, and what makes a cluster special.

Kafka 96

Kafka 96

KDnuggets

AUGUST 10, 2023

Machine Learning Operations (MLOps) is a relatively new discipline that provides the structure and support necessary for machine learning (ML) models to thrive in production environments.

Machine Learning 90

Machine Learning 90

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

databricks

AUGUST 6, 2023

In the world of data engineering, there are operations that have been used since the birth of ETL. You filter. You join. You.

Data Engineering 89

Data Engineering Data Engineer Engineering Data 89

Towards Data Science

AUGUST 7, 2023

An Automate Guide to Detect and Handle Data Drift Continue reading on Towards Data Science »

Building 83

Building Data Science Data Data Pipeline 83

Scott Logic

AUGUST 10, 2023

Mental Models and the User Experience I look at a piano, I see a bunch of keys, three pedals, and a box of wood. But Beethoven, Mozart, they saw it, they could just play. I couldn’t paint you a picture, I probably can’t hit the ball out of Fenway, and I can’t play the piano. - Good Will Hunting, 1997 Like Will (Matt Damon in Good Will Hunting), I only see a piano as a box with black and white buttons and a guitar as a piece of wood with strings; I know they both make music, something I certainly

Designing 52

Designing Systems Education Government 52

KDnuggets

AUGUST 9, 2023

This article explores StableCode, an innovative AI product by Stability AI, designed to enhance coding efficiency and accessibility. It delves into its unique features, underlying technology, and potential impact on the developer community.

Coding 90

Coding Designing Accessible Accessibility 90

Advertisement

Start-ups & SMBs launching products quickly must bundle dashboards, reports, & self-service analytics into apps. Customers expect rapid value from your product (time-to-value), data security, and access to advanced capabilities. Traditional Business Intelligence (BI) tools can provide valuable data analysis capabilities, but they have a barrier to entry that can stop small and midsize businesses from capitalizing on them.

Data Analysis

databricks

AUGUST 8, 2023

Healthcare is sitting on mountains of data Pop quiz: Which industry accounts for about 30% of newly created data around the world and.

Healthcare 85

Healthcare Data 85

Hevo

AUGUST 11, 2023

There are various sources for your business to acquire data and use them for productive decision-making. One among those insightful sources is REST API. To centralize data and obtain in-depth data analytics benefits, you can migrate data to Amazon Aurora from REST APIs.

Data Analytics 52

Data Analytics Data IT 52

Confluent

AUGUST 10, 2023

Learn why Confluent Cloud has chosen Let’s Encrypt as its Certificate Authority and how it leverages its automation features to spend less time managing certificates and more time building private networking features.

Certification 52

Certification Cloud IT Building 52

KDnuggets

AUGUST 8, 2023

This article discusses the importance of geospatial analysis and introduces five essential Python packages for effectively handling and visualizing valuable insights from geospatial data.

Python 89

Python Data Analysis Data 89

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

Snowflake

AUGUST 9, 2023

Supply chain disruption continues to affect retailers, consumer packaged goods companies (CPGs), and customers. Constraints on the ability to produce goods have limited the availability of in-demand products, leading to inflation. Not only are manufacturers not making enough products in line with demand in industries such as automotive and electronics, at the same time, those products have become much more expensive.

Retail 52

Retail Electronics Raw Data Manufacturing 52

Monte Carlo

AUGUST 8, 2023

The Definitive Guide to Data Validation Testing Data validation testing ensures your data maintains its quality and integrity as it is transformed and moved from its source to its target destination. By applying rules and checks, data validation testing verifies the data meets predefined standards and business requirements to help prevent data quality issues and data downtime.

Data Validation 52

Data Validation Data Pipeline SQL Data 52

Workfall

AUGUST 8, 2023

Reading Time: 9 minutes A heatmap chart is a visual representation of data presented in a matrix format. It uses different colors to represent the magnitude of values, making it easy to identify patterns and trends within complex datasets. Warm colors depict higher values, while cooler colors indicate lower ones. This type of chart finds application in diverse fields such as data analysis, biology, finance, and web analytics, offering an efficient means to detect significant data points and corr

Datasets 52

Datasets Finance Coding Data Analysis 52

KDnuggets

AUGUST 9, 2023

Forget ChatGPT, This New AI Assistant Is Leagues Ahead and Will Change the Way You Work Forever • 7 Steps to Mastering Data Cleaning and Preprocessing Techniques • Fundamentals Of Statistics For Data Scientists and Analysts • I Created An AI App In 3 Days • Using SHAP Values for Model Interpretability in Machine Learning

Machine Learning 83

Machine Learning Data 83

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