Sat.Mar 25, 2023 - Fri.Mar 31, 2023

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How Data Science Can Transform Mobile App Development?

KDnuggets

Data science is an intelligent and powerful technology. By knowing how to use data science in mobile app development you can achieve great results.

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5 Machine Learning Skills Every Machine Learning Engineer Should Know in 2023

KDnuggets

Most essential skills are programming, data preparation, statistical analysis, deep learning, and natural language processing.

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Lyft in Trouble

The Pragmatic Engineer

Originally published on 30 March 2023. 👋 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 full issues twice a week, subscribe here. Disclaimer: I worked at Uber, Lyft's US competitor, between 2016-2020. As always, I aim to remain independent in my analysis: I hold no positions in any of the companies mentioned in this article, and have not been paid to write ab

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Complete Guide to Pub/Sub in Redis

Analytics Vidhya

Introduction Publish and Subscribe is a messaging mechanism having one or a set of senders sending messages and one or a group of receivers receiving these messages. These senders are called Publishers, responsible for publishing these messages, and the receivers are called Subscribers who subscribe to these Publishers to receive their notifications.

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A Guide to Debugging Apache Airflow® DAGs

In Airflow, DAGs (your data pipelines) support nearly every use case. As these workflows grow in complexity and scale, efficiently identifying and resolving issues becomes a critical skill for every data engineer. This is a comprehensive guide with best practices and examples to debugging Airflow DAGs. You’ll learn how to: Create a standardized process for debugging to quickly diagnose errors in your DAGs Identify common issues with DAGs, tasks, and connections Distinguish between Airflow-relate

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SimulatedRides: How Lyft uses load testing to ensure reliable service during peak events

Lyft Engineering

Authors: Remco van Bree , Ben Radler Contributors : Alex Ilyenko , Ben Radler , Francisco Souza , Garrett Heel , Nathan Hsieh , Remco van Bree , Shu Zheng , Alex Hartwell , Brian Witt “Load testing in production is great.” We know what you’re thinking — testing in production is one of the cardinal sins of software development. However, at Lyft we have come to realize that load testing in production is a powerful tool to prepare systems for unexpected bursty traffic and peak events.

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5 Advance Projects for Data Science Portfolio

KDnuggets

Work on data analytics, time series, natural language processing, machine learning, and ChatGPT projects to improve your chance of getting hired.

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More Trending

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How to Choose a Machine Learning Consulting Firm in 2023?

Analytics Vidhya

Introduction Artificial intelligence (AI) and machine learning (ML) are in the best swing to help businesses sharpen their edge over their competitors in the market. The value of the machine learning industry is estimated to be US $209.91 by 2029. There may be a number of reasons why you’d want to bring this rising technology […] The post How to Choose a Machine Learning Consulting Firm in 2023?

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Table file formats - Z-Order compaction: Delta Lake

Waitingforcode

In my recent exploration of the compaction, aka OPTIMIZE command, in Delta Lake, I found this famous Z-Ordering mode. It was one of the most outstanding features when I first heard about Delta Lake. You can't even imagine how impatient I was to see what it is doing under-the-hood. Fortunately, this time has come!

IT 130
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A Complete Collection of Data Science Free Courses – Part 2

KDnuggets

The second part covers the list of Machine Learning, Deep Learning, Computer Vision, Natural Language Processing, Data Engineering, and MLOps.

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Polars vs Spark. Real Talk.

Confessions of a Data Guy

Real talk. Polars is all the rage. People love Spark. People use Spark for small data, but data is too big for Pandas. Spark runs on a local machine. Polars runs on a local machine. What do I choose, Spark or Polars? Does it matter? I’ve written about Polars at different points, here, and here […] The post Polars vs Spark. Real Talk. appeared first on Confessions of a Data Guy.

IT 130
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Mastering Apache Airflow® 3.0: What’s New (and What’s Next) for Data Orchestration

Speaker: Tamara Fingerlin, Developer Advocate

Apache Airflow® 3.0, the most anticipated Airflow release yet, officially launched this April. As the de facto standard for data orchestration, Airflow is trusted by over 77,000 organizations to power everything from advanced analytics to production AI and MLOps. With the 3.0 release, the top-requested features from the community were delivered, including a revamped UI for easier navigation, stronger security, and greater flexibility to run tasks anywhere at any time.

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Unlocking The Potential Of Streaming Data Applications Without The Operational Headache At Grainite

Data Engineering Podcast

Summary The promise of streaming data is that it allows you to react to new information as it happens, rather than introducing latency by batching records together. The peril is that building a robust and scalable streaming architecture is always more complicated and error-prone than you think it's going to be. After experiencing this unfortunate reality for themselves, Abhishek Chauhan and Ashish Kumar founded Grainite so that you don't have to suffer the same pain.

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Run SQL Queries on Databricks From Visual Studio Code

databricks

Today, we are excited to announce that users can now run SQL queries on Databricks from within Visual Studio Code via a preview.

SQL 122
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Reading Minds with AI: Researchers Translate Brain Waves to Images

KDnuggets

Two researchers from Osaka University were able to reconstruct highly accurate images from human brain activity obtained by fMRI. Read this article if you are curious to find out what all the hype is about.

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Introduction to Linked Lists.

Confessions of a Data Guy

The post Introduction to Linked Lists. appeared first on Confessions of a Data Guy.

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Agent Tooling: Connecting AI to Your Tools, Systems & Data

Speaker: Alex Salazar, CEO & Co-Founder @ Arcade | Nate Barbettini, Founding Engineer @ Arcade | Tony Karrer, Founder & CTO @ Aggregage

There’s a lot of noise surrounding the ability of AI agents to connect to your tools, systems and data. But building an AI application into a reliable, secure workflow agent isn’t as simple as plugging in an API. As an engineering leader, it can be challenging to make sense of this evolving landscape, but agent tooling provides such high value that it’s critical we figure out how to move forward.

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How LinkedIn automates cherry-picking commits to improve developer productivity

LinkedIn Engineering

Our developers at LinkedIn are constantly exploring ways to enhance and strengthen our platform, aiming to provide our members and customers with the greatest possible access to knowledge and connections. With approximately 15,000 code repositories, our developers work tirelessly to make thousands of code changes each day, improving functionality and resolving any issues that may arise.

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Boost your Geoprocessing productivity with these enhancements in ArcGIS Pro 3.1

ArcGIS

Check out this blog for a quick overview of some key geoprocessing enhancements in ArcGIS Pro 3.1.

Python 113
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Automation in Data Science Workflows

KDnuggets

Will data science, known for replacing innately iterative work with automation, become automated? Will data scientists’ jobs be automated too?

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Security best practices for the Databricks Lakehouse Platform

databricks

Your data security is our priority At Databricks, we know that data is one of your most valuable assets and always has to.

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How to Modernize Manufacturing Without Losing Control

Speaker: Andrew Skoog, Founder of MachinistX & President of Hexis Representatives

Manufacturing is evolving, and the right technology can empower—not replace—your workforce. Smart automation and AI-driven software are revolutionizing decision-making, optimizing processes, and improving efficiency. But how do you implement these tools with confidence and ensure they complement human expertise rather than override it? Join industry expert Andrew Skoog as he explores how manufacturers can leverage automation to enhance operations, streamline workflows, and make smarter, data-dri

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Confluent Achieves Google Cloud Ready - AlloyDB Designation

Confluent

Confluent announced that it has successfully achieved Google Cloud Ready - AlloyDB Designation for AlloyDB for PostgreSQL, Google Cloud’s newest fully managed PostgreSQL-compatible database service for the most demanding enterprise database workloads.

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Iceberg Tables: Catalog Support Now Available

Snowflake

As announced at Snowflake Summit 2022 , Iceberg Tables combines unique Snowflake capabilities with Apache Iceberg and Apache Parquet open source projects to support your architecture of choice. As part of the latest Iceberg release, we’ve added catalog support to the Iceberg project to ensure that engines outside of Snowflake can interoperate with Iceberg Tables.

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Automate the Boring Stuff with ChatGPT and Python

KDnuggets

Speed up your daily workflows by getting AI to write Python code in seconds.

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The Executive’s Guide to Data, Analytics and AI Transformation, Part 1: A blueprint for modernization

databricks

Now more than ever, organizations need to adapt quickly to market opportunities and emerging risks so that they are better positioned to adapt.

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The Ultimate Guide to Apache Airflow DAGS

With Airflow being the open-source standard for workflow orchestration, knowing how to write Airflow DAGs has become an essential skill for every data engineer. This eBook provides a comprehensive overview of DAG writing features with plenty of example code. You’ll learn how to: Understand the building blocks DAGs, combine them in complex pipelines, and schedule your DAG to run exactly when you want it to Write DAGs that adapt to your data at runtime and set up alerts and notifications Scale you

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ROW and Easement Data Management Solution Released

ArcGIS

ROW and Easement Data Management improves infrastructure planning, utility maintenance, and other functions that require access to land.

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Data Vault on Snowflake: Feature Engineering and Business Vault

Snowflake

“The features you use influence more than everything else the result. No algorithm alone, to my knowledge, can supplement the information gain given by correct feature engineering” —Luca Massaron, Data Scientist Snowflake continues to set the standard for data in the cloud by removing the need to perform maintenance tasks on your data platform and giving you the freedom to choose your data model methodology for the cloud.

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How to Use ChatGPT to Improve Your Data Science Skills

KDnuggets

And How to Speed up your research of data science resources without wasting energy.

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Anatomy of SQL Window Functions

Towards Data Science

Back To Basics | SQL fundamentals for beginners Image by author, created on canva In order to understand the enterprise data; you have to query it a lot. When I say ‘A lot’, I mean it. Working with unfamiliar piles of data is often daunting and it’s always a good practice to take some time to explore and understand the data itself. It’s good to have basic data retrieval skills but knowing analytical functions to derive some useful insights out of your data is cherry on top of a cake and it’s fu

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Apache Airflow® Best Practices: DAG Writing

Speaker: Tamara Fingerlin, Developer Advocate

In this new webinar, Tamara Fingerlin, Developer Advocate, will walk you through many Airflow best practices and advanced features that can help you make your pipelines more manageable, adaptive, and robust. She'll focus on how to write best-in-class Airflow DAGs using the latest Airflow features like dynamic task mapping and data-driven scheduling!

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What is GPT-4? How it is better than ChatGPT

Edureka

We were already surprised by the wonders ChatGPT has been doing, and now GPT-4 has arrived with features nobody could have ever imagined. These days, one really can’t say what else we are going to explore in the future of language models, as every day is like a new challenge for the developers of ChatGPT. OpenAI has announced the release of its latest large language model, GPT-4.

IT 98
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High resolution data updates to Living Atlas World Elevation Layers (March 2023)

ArcGIS

In March 2023, elevation layers have been updated with many high-res datasets covering Hong Kong, Slovenia, Germany, NSW Australia, Poland and US

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Multimodal Models Explained

KDnuggets

Unlocking the Power of Multimodal Learning: Techniques, Challenges, and Applications.

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Sliding Windows in Pandas

Towards Data Science

Identify Patterns in Time-Series Data with Overlapping Window Techniques Continue reading on Towards Data Science »

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How to Achieve High-Accuracy Results When Using LLMs

Speaker: Ben Epstein, Stealth Founder & CTO | Tony Karrer, Founder & CTO, Aggregage

When tasked with building a fundamentally new product line with deeper insights than previously achievable for a high-value client, Ben Epstein and his team faced a significant challenge: how to harness LLMs to produce consistent, high-accuracy outputs at scale. In this new session, Ben will share how he and his team engineered a system (based on proven software engineering approaches) that employs reproducible test variations (via temperature 0 and fixed seeds), and enables non-LLM evaluation m