Ascend.io
APRIL 12, 2023
Right now, at this moment, are you prepared to act on your company’s data? If not, why? At Ascend, we aim to make the abstract, actionable. So when we talk about making data usable, we’re having a conversation about data integrity. Data integrity is the overall readiness to make confident business decisions with trustworthy data, repeatedly and consistently.
Data Engineering Podcast
APRIL 9, 2023
Summary The customer data platform is a category of services that was developed early in the evolution of the current era of cloud services for data processing. When it was difficult to wire together the event collection, data modeling, reporting, and activation it made sense to buy monolithic products that handled every stage of the customer data lifecycle.
This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.
Analytics Vidhya
APRIL 13, 2023
The job opportunities for data scientists will grow by 36% between 2021 and 2031, as suggested by BLS. It has become one of the most demanding job profiles of the current era. As recruiters hunt for professionals who are knowledgeable about data science, the average median pay for a proficient Data Scientist has soared to $100,910 […] The post 8 In-Demand Data Science Certifications for Career Advancement [2023] appeared first on Analytics Vidhya.
The Pragmatic Engineer
APRIL 13, 2023
👋 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 full newsletters twice a week, subscribe here. A recent report in Carta’s newsletter caught my eye: The state of angel investing, as reported by Carta. Source: Carta’s The Data Minute newsletter Angel rounds – or pre-seed rounds – usually total less than $1M in funding raised.
Advertisement
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
KDnuggets
APRIL 13, 2023
Improves your data science skill arsenals with these metrics.
databricks
APRIL 11, 2023
Two weeks ago, we released Dolly, a large language model (LLM) trained for less than $30 to exhibit ChatGPT-like human interactivity (aka instruction-following).
Data Engineering Digest brings together the best content for data engineering professionals from the widest variety of industry thought leaders.
|
Christophe Blefari
APRIL 14, 2023
The only AI I'm eager to see ( credits ) Hey you, the newsletter might be late today again, but this time this is not my fault. Ghost editor was down when I wanted to write. Anyway, here the weekly Data News, written faster than usual. AI News 🤖 Yann le Cun did a 10 minutes interview at a major French radio. If you want to read the French transcript you can do it here.
KDnuggets
APRIL 11, 2023
How to Automate the Complete Lifecycle of a Data Science Project using AutoML tools, which reduces the programming effort for implementation with H2O.ai.
databricks
APRIL 13, 2023
Today, Databricks sets a new standard for ETL (Extract, Transform, Load) price and performance. While customers have been using Databricks for their ETL.
Engineering at Meta
APRIL 13, 2023
WhatsApp has launched a new cryptographic security feature to automatically verify a secured connection based on key transparency. The feature requires no additional actions or steps from users and helps ensure that a conversation is secure. Key transparency solutions help strengthen the guarantee that end-to-end encryption provides to private, personal messaging applications in a transparent manner available to all.
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.
Christophe Blefari
APRIL 8, 2023
Data News entering in town ( credits ) Hey you, if I wasn't late in my newsletter writing it wouldn't be me. But here is your usual Data News. The main reason behind this delay is because I've played with LLMs yesterday. I've tried to run open-source models locally on my own laptop. There are still a few bugs and the results are not really at OpenAI level but this is fun to do.
KDnuggets
APRIL 14, 2023
Just when we got our heads around ChatGPT, another one came along. AutoGPT is an experimental open-source pushing the capabilities of the GPT-4 language model.
databricks
APRIL 14, 2023
Today, we are happy to announce the availability of Apache Spark™ 3.4 on Databricks as part of Databricks Runtime 13.0. We extend our s.
Scott Logic
APRIL 11, 2023
It’s been over a year since I last blogged about OpenAI. Whilst DALL-E 2, ChatGPT and GPT4 have grabbed all of the headlines, there were a lot of other interesting things showing up on their blog in the background. This post runs through just over six months of progress from Sept 2021 - March 2022. Recursive task decomposition September 2021 One of the big constraints of the GPT series of models is the size of the input.
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.
Christophe Blefari
APRIL 8, 2023
Data News entering in town ( credits ) Hey you, if I wasn't late in my newsletter writing it wouldn't be me. But here is your usual Data News. The main reason behind this delay is because I've played with LLMs yesterday. I've tried to run open-source models locally on my own laptop. There are still a few bugs and the results are not really at OpenAI level but this is fun to do.
KDnuggets
APRIL 10, 2023
I recently tasked ChatGPT-4's to come up with a new programming language appropriate for data scientists in their day to day tasks. Let's look at the results, and the process of getting there.
Zalando Engineering
APRIL 12, 2023
Dependency hygiene Dependency updates are a tedious task when maintaining thousands of microservices. Some teams use tools like dependabot , scala-steward that create pull requests in repositories when new library versions are available. Other teams update dependencies regularly in bulk, supported by build system plugins (e.g. maven-versions-plugin , gradle-versions-plugin ).
Towards Data Science
APRIL 10, 2023
A few Compelling Reasons to Choose Apache Iceberg for Data Lakes Continue reading on Towards Data Science »
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
Edureka
APRIL 10, 2023
The most recent version of the AI, which was released on March 14, is the fourth iteration. Actually, ChatGPT’s initial release was in 2018. Since then, the company has been releasing iterations of the AI; ChatGPT 3, which launched earlier this year, has so far proven to be the most popular. The latest and most effective large language model is ChatGPT-4.In this blog, you will learn how to start using GPT-4 by following the steps mentioned here.
KDnuggets
APRIL 13, 2023
And how to make ChatGPT our daily assistant using them.
ArcGIS
APRIL 10, 2023
Ture orthos are an essential product for many different use cases for Reality Mapping and can now be processed using ArcGIS Reality
The Modern Data Company
APRIL 12, 2023
Prevention and early intervention are essential to building an effective healthcare approach that supports patients from start to finish. The critical component of this approach is predictive analytics — analyzing big data gathered from patients, consumers, and research to provide actionable insights about a patient’s current and future healthcare needs.
Advertisement
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
databricks
APRIL 11, 2023
Customer Data Platforms (CDPs) play an increasingly important role in the enterprise marketing landscape. By bringing together data from a wide variety of.
KDnuggets
APRIL 12, 2023
Ultimately, these websites should help you find data you care about, do a cool data science project, and use that to get a job.
ArcGIS
APRIL 10, 2023
Ture orthomosaics are an essential product for many different use cases for Reality Mapping and can now be processed using ArcGIS Reality
Towards Data Science
APRIL 14, 2023
CI/CD for data engineers and ML Ops Continue reading on Towards Data Science »
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!
databricks
APRIL 11, 2023
You've likely tried the buzziest advances in generative AI in the past year, tools like ChatGPT and DALL-E. They consume complex data and.
KDnuggets
APRIL 13, 2023
Is AI overhyped, or is there a valid reason to be afraid?
Tweag
APRIL 12, 2023
State machines are a common abstraction in computer science. They can be used to represent and implement stateful processes. My interest in them stems from Domain-Driven Design and software architecture. With this blog post I’d like to explain why I think that state machines are a great tool to express and implement the domain logic of applications.
Lyft Engineering
APRIL 11, 2023
How Lyft’s ML Platform Saves Time and Money on Big Data/ML Workloads By Anindya Saha & Han Wang Image by DALL·E Motivation In previous articles, we talked about the ML Platform of Lyft, LyftLearn , which manages ML model training as well as batch predictions. With the amount of data Lyft has to process, it’s natural that the cost of operating the platform is very high.
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
Expert insights. Personalized for you.
52 
Let's personalize your content