Start Data Engineering
SEPTEMBER 18, 2024
1. Introduction 2. Setup 3. Parts of data engineering 3.1. Requirements 3.1.1. Understand input datasets available 3.1.2. Define what the output dataset will look like 3.1.3. Define SLAs so stakeholders know what to expect 3.1.4. Define checks to ensure the output dataset is usable 3.2. Identify what tool to use to process data 3.3. Data flow architecture 3.
Jesse Anderson
SEPTEMBER 18, 2024
Survey Changes Over Time Between 2020 and 2024 (see 2020, 2023, and 2024 for each year’s information), I’ve been conducting a data teams survey. I wanted to dedicate an entire post to examining the change in data teams over time. Total Value Creation The most important question I ask each year concerns data team value creation. I break the question into two parts: “How successful would the business say your projects are?
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databricks
SEPTEMBER 18, 2024
The Databricks Generative AI Startup Challenge offers $1M+ in prizes for innovative startups building Generative AI use cases on Databricks. Apply by November 1, 2024!
KDnuggets
SEPTEMBER 18, 2024
Medical imaging has been revolutionized by the adoption of deep learning techniques. The use of this branch of machine learning has ushered in a new era of precision and efficiency in medical image segmentation, a central analytical process in modern healthcare diagnostics and treatment planning. By harnessing neural networks, deep learning algorithms are able.
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.
ArcGIS
SEPTEMBER 18, 2024
Learn the difference between ArcGIS Data Interoperability and FME technology and how they relate to one another.
KDnuggets
SEPTEMBER 18, 2024
Versioning Best Practices for Data Science Projects As I have mentioned, this article assumes you have basic versioning knowledge. You don’t necessarily need to be adept at it, but at least you already have a Git version tool in the environment. If you haven’t, please follow the instructions for installation on the Git website.
Data Engineering Digest brings together the best content for data engineering professionals from the widest variety of industry thought leaders.
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KDnuggets
SEPTEMBER 18, 2024
Heaps and heaps of new technology are entering the market, and these new tools and software are making our lives easier. However, although our day-to-day tasks have become easier, there has been an increase in the number of cyber threats. There is a need for the right people to come in and identify and mitigate.
Netflix Tech
SEPTEMBER 18, 2024
Vidhya Arvind , Rajasekhar Ummadisetty , Joey Lynch , Vinay Chella Introduction At Netflix our ability to deliver seamless, high-quality, streaming experiences to millions of users hinges on robust, global backend infrastructure. Central to this infrastructure is our use of multiple online distributed databases such as Apache Cassandra , a NoSQL database known for its high availability and scalability.
Data Engineering Weekly
SEPTEMBER 18, 2024
Click the Link Below to Get Your Free Data Observability Buyers Guide: [link] The Buyer Guide for Data Observability is out. Please feel free to make a copy or comment to add more criteria. I w ant to extend my gratitude to the Data Heroes Community for their valuable insights and discussions, which served as the foundation for this piece. The points and thoughts shared here are largely drawn from the community's collective knowledge and contributions.
Snowflake
SEPTEMBER 18, 2024
As the frenzied hype around generative AI cools off and as we get into the year of ideation, earlier adopters of AI are starting to see the results of initial experimentation. And these conversations are increasingly shifting to a more problem-oriented mentality. A lot of people were understandably swept up in the excitement of all that AI can do, only to find that some use cases were too risky or that those problems could be solved with traditional methods that were less costly.
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.
databricks
SEPTEMBER 18, 2024
Transformer models, the backbone of modern language AI, rely on the attention mechanism to process context when generating output. During inference, the attention.
Cloudera
SEPTEMBER 18, 2024
According to recent survey data from Cloudera, 88% of companies are already utilizing AI for the tasks of enhancing efficiency in IT processes, improving customer support with chatbots, and leveraging analytics for better decision-making. More and more enterprises are leveraging pre-trained models for various applications, from natural language processing to computer vision.
KDnuggets
SEPTEMBER 18, 2024
Sponsored Content “Completing the program has provided me with proficiency in essential data science methodologies and programming languages, including R, Python, SQL, and Tableau. Additionally, the program's flexibility allowed me to select project subjects aligned with my interests, fostering hands-on learning experiences. Through these projects, I gained practical experience applying a diverse.
ArcGIS
SEPTEMBER 18, 2024
Learn how to build cross-street data into a geocoding locator using ArcGIS Data Interoperability and its no-code approach.
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
Precisely
SEPTEMBER 18, 2024
Businesses around the world are facing major challenges due to higher manufacturing costs, disruptive new technologies like artificial intelligence (AI), and tougher global competition. This means it’s more important than ever to make data-driven decisions, cut costs, and improve efficiency. But this is all easier said than done, as evidenced by key findings from this year’s 2025 Outlook: Data Integrity Trends and Insights report, published in partnership between Precisely and the Center for App
DataKitchen
SEPTEMBER 18, 2024
A DataOps Approach to Data Quality The Growing Complexity of Data Quality Data quality issues are widespread, affecting organizations across industries, from manufacturing to healthcare and financial services. According to DataKitchen’s 2024 market research, conducted with over three dozen data quality leaders, the complexity of data quality problems stems from the diverse nature of data sources, the increasing scale of data, and the fragmented nature of data systems.
Confluent
SEPTEMBER 18, 2024
Jump-start a new use case or accelerate your migration journey with our new Build with Confluent and Confluent Migration Accelerator partners.
Yelp Engineering
SEPTEMBER 18, 2024
Machine Learning Feature Stores ML Feature Store at Yelp Many of Yelp’s core capabilities such as business search, ads, and reviews are powered by Machine Learning (ML). In order to ensure these capabilities are well supported, we have built a dedicated ML platform. One of the pillars of this infrastructure is the Feature Store, which is a centralized data store for ML Features that are the input of ML models.
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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
Knowledge Hut
SEPTEMBER 18, 2024
As the world economy continues to globalize, the project management demand is expected to grow rapidly. A project manager is responsible for ensuring a project is completed on time, within budget, and to the required standard. To be successful in this role, a project manager must have excellent organizational and communication skills. They must be able to work effectively with a team of people, as well as be able to take up the role of a leader whenever necessary.
Monte Carlo
SEPTEMBER 18, 2024
How do you know if data is fit for use? While it will vary a bit depending on the use case, there are six dimensions of data quality that have become a standard best practice for this type of evaluation. Let’s take a look at each of these dimensions and see how any member of the data team can deploy a relevant monitor using the extensible Monte Carlo data observabilit y platform.
Knowledge Hut
SEPTEMBER 18, 2024
Ethical hackers are in high demand by companies and organizations that need to protect their data and systems from malicious activity. As cybercrime continues to evolve and become more sophisticated, companies need people with the skills and knowledge to outsmart cyber criminals. In 2024 and the upcoming years, the demand for ethical hackers will be higher, so now is the time to start preparing for a career in this exciting field.
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