The Pragmatic Engineer
APRIL 21, 2024
See a longer version of this article here: Scaling ChatGPT: Five Real-World Engineering Challenges. Sometimes the best explanations of how a technology solution works come from the software engineers who built it. To explain how ChatGPT (and other large language models) operate, I turned to the ChatGPT engineering team. "How does ChatGPT work, under the hood?
Start Data Engineering
APRIL 22, 2024
1. Introduction 2. Docker concepts 2.1. Define the OS and its configurations with an image 2.2. Use the image to run containers 2.2.1. Communicate between containers and local OS 2.2.2. Start containers with docker CLI or compose 3. Conclusion 1. Introduction Docker can be overwhelming to start with. Most data projects use Docker to set up the data infra locally (and often in production).
This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.
Data Engineering Podcast
APRIL 21, 2024
Summary Generative AI has rapidly transformed everything in the technology sector. When Andrew Lee started work on Shortwave he was focused on making email more productive. When AI started gaining adoption he realized that he had even more potential for a transformative experience. In this episode he shares the technical challenges that he and his team have overcome in integrating AI into their product, as well as the benefits and features that it provides to their customers.
Seattle Data Guy
APRIL 25, 2024
As data increased in volume, velocity, and variety, so, in turn, did the need for tools that could help process and manage those larger data sets coming at us at ever faster speeds. As a result, frameworks such as Apache Spark and Apache Flink became popular due to their abilities to handle big data processing… Read more The post Apache Spark Vs Apache Flink – How To Choose The Right Solution appeared first on Seattle Data Guy.
Speaker: John Mansour
If you're looking to advance your career in product management, there are more options than just climbing the management ladder. Join our upcoming webinar to learn about highly rewarding career paths that don't involve management responsibilities. We'll cover both career tracks and provide tips on how to position yourself for success in the one that's right for you.
Waitingforcode
APRIL 24, 2024
As a data engineer you're certainly familiar with data skew. Yes, this bad phenomena where one task takes considerably more input than the others and often causes unexpected latency or failures. Turns out, stream processing also has its skew but more related to time.
Start Data Engineering
APRIL 22, 2024
1. Introduction 2. Ensure the code’s logic is working as expected with tests 2.1. Test types for data pipelines 2.2. pytest: A powerful Python library for testing 2.2.1. Set context, run code, check results & clean up 2.2.2. Tests are identified by their name 2.2.3. Use fixture to create fake data for testing 2.2.4. Define items to be shared among tests with conftest.
Data Engineering Digest brings together the best content for data engineering professionals from the widest variety of industry thought leaders.
databricks
APRIL 24, 2024
Unlock the power of Apache Spark™ with Unity Catalog Lakeguard on Databricks Data Intelligence Platform. Run SQL, Python & Scala workloads with full data governance & cost-efficient multi-user compute.
KDnuggets
APRIL 26, 2024
The need for data science has not decreased or been replaced; instead, it’s the field of data science maturing, with a greater demand for specialized skills and practical experience.
Knowledge Hut
APRIL 26, 2024
Machine Learning is a sub-branch of Artificial Intelligence, used for the analysis of data. It learns from the data that is input and predicts the output from the data rather than being explicitly programmed. Machine Learning is among the fastest evolving trends in the I T industry. It has found tremendous use in sectors across industries, with its ability to solve complex problems which humans are not able to solve using traditional techniques.
ArcGIS
APRIL 23, 2024
Do you have questions about how to access, use, or nominate content within ArcGIS Living Atlas of the World? Check out this blog for answers.
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?
databricks
APRIL 23, 2024
We're thrilled to announce the General Availability (GA) of Databricks Asset Bundles (DABs). With DABs you can easily bundle resources like jobs.
KDnuggets
APRIL 25, 2024
Interested in switching to data engineering? Here’s a list of Python libraries you’ll find super helpful.
Knowledge Hut
APRIL 26, 2024
The era of rapid change We are living in an era where change has become the norm rather than an exception. Emerging technologies and market unpredictability have further fueled change, impacting all industries globally. But the true test of an organization's capability is its ability to endure change and adapt to it. This is the philosophy of ‘Kaizen’ or changing for the better, that helps organizations stay competitive, relevant and in focus with the customer.
Scott Logic
APRIL 22, 2024
Generative AI has been grabbing headlines, but many businesses are starting to feel left-behind. Large-model AI is becoming more and more influential in the market, and with the well-known tech giants starting to introduce easy-access AI stacks, a lot of businesses are left feeling that although there may be a use for AI in their business, they’re unable to see what use cases it might help them with.
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.
databricks
APRIL 26, 2024
We’re excited to announce the Databricks Generative AI Hackathon winners. This hackathon garnered hundreds of data and AI practitioners spanning 60 invited companies.
KDnuggets
APRIL 23, 2024
This article introduces retrieval augmented generation, which combines text generation with informaton retrieval in order to improve language model output.
Knowledge Hut
APRIL 26, 2024
You are here to read this article, so we assume you are already aware of the terms “hacking”, “hackers,” and other words associated with unauthorized access. Penetration testing or ethical hacking is the process of attempting to gain access to target resources and perform actual attacks to find loopholes in the system and measure the strength of security.
Cloudera
APRIL 26, 2024
This month is Allyship April—a time dedicated to deepening our understanding of allyship and its profound impact on fostering inclusive cultures. Allyship isn’t merely a buzzword; it’s a fundamental commitment to actively support and advocate for marginalized individuals and communities within our organization. This month, we’ve engaged in meaningful conversations, challenged our assumptions, and committed to tangible actions that drive positive change.
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.
databricks
APRIL 23, 2024
For a limited time, we're offering 50% off training and certification at Data + AI Summit with the following code: TRAIN50FOTY. This offer.
KDnuggets
APRIL 22, 2024
Are you an aspiring data scientist? If so, these free data science courses from Stanford will help you move forward in your data science journey!
Knowledge Hut
APRIL 26, 2024
What is Python 3? Python 3 is an interpreted language, which means that anyone can read and execute the code. Python is used to create websites, perform scientific research, data analysis etc. Python 3.9 is the latest version of Python. Why Learn Python 3? Python is one of the fastest growing and in-demand programming languages. It has a very easy learning curve, due in large part to its simple, user-friendly syntax.
ArcGIS
APRIL 22, 2024
A drawing alert notification system was added in ArcGIS Pro 3.2 as a method for resolving drawing issues in your ArcGIS Pro projects.
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.
DoorDash Engineering
APRIL 23, 2024
DoorDash’s retail catalog is a centralized dataset of essential product information for all products sold by new verticals merchants – merchants operating a business other than a restaurant, such as a grocery, a convenience store, or a liquor store. Within the retail catalog, each SKU , or stock keeping unit, is represented by a list of product attributes.
KDnuggets
APRIL 25, 2024
List of top MLOPs platforms that will help you with integration, training, tracking, deployment, monitoring, CI/CD, and optimizing the infrastructure.
Knowledge Hut
APRIL 26, 2024
Datasets are the repository of information that is required to solve a particular type of problem. Also called data storage areas , they help users to understand the essential insights about the information they represent. Datasets play a crucial role and are at the heart of all Machine Learning models. Machine Learning without data sets will not exist because ML depends on data sets to bring out relevant insights and solve real-world problems.
Snowflake
APRIL 23, 2024
If you’re a Snowflake customer using ServiceNow’s popular SaaS application to manage your digital workloads, data integration is about to get a lot easier — and less costly. Snowflake has announced the general availability of the Snowflake Connector for ServiceNow, available on Snowflake Marketplace. The connector provides immediate access to up-to-date ServiceNow data without the need to manually integrate against API endpoints.
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.
Cloudera
APRIL 23, 2024
Back in October, we announced the first-ever Cloudera Climate and Sustainability Hackathon , powered by AMD. The Hackathon was intended to provide data science experts with access to Cloudera machine learning to develop their own Accelerated Machine Learning Project (AMP) focused on solving one of the many environmental challenges facing the world today.
KDnuggets
APRIL 26, 2024
Find out all about Google Cloud's latest learning path, and learn how to use the Gemini language model in the Google Cloud.
Knowledge Hut
APRIL 26, 2024
An agile framework is an iterative approach toward completing a project or a particular task under it. A framework helps in planning, managing, and executing tasks in a way that ensures successful project delivery. These frameworks are divided into two categories: frameworks that work within the teams and those that work at a larger scale for the entire organization.
Zalando Engineering
APRIL 22, 2024
Introduction Our team is responsible for sending out communications to all our customers at Zalando - e.g. confirming a placed order, informing about new content from a favourite brand or announcing sales campaigns. During the preparation of those messages as well during sending those out via different service providers we have to deal with limited resources.
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.
Expert insights. Personalized for you.
345 
Let's personalize your content