Confessions of a Data Guy
MAY 30, 2024
Of all the duties that Data Engineers take on during the regular humdrum of business and work, it’s usually filled with the same old, same old. Build new pipeline, update pipeline, new data model, fix bug, etc, etc. It’s never-ending. It’s a constant stream of data, new and old, spilling into our Data Warehouses and […] The post Building Data Platforms (from scratch) appeared first on Confessions of a Data Guy.
Robinhood
MAY 30, 2024
Robinhood Crypto customers in the United States can now use our API to view crypto market data, manage portfolios and account information, and place crypto orders programmatically Today, we are excited to announce the Robinhood Crypto trading API , ushering in a new era of convenience, efficiency, and strategy for our most seasoned crypto traders. Robinhood Crypto customers in the United States can use our new trading API to set up advanced and automated trading strategies that allow them to st
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databricks
MAY 30, 2024
Salesforce and Databricks are excited to announce an expanded strategic partnership that delivers a powerful new integration - Salesforce Bring Your Own Model.
KDnuggets
MAY 30, 2024
Explore free and open-source MLOps tools for enhanced data privacy and control over your models and code.
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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
Waitingforcode
MAY 30, 2024
Last week I was speaking in Gdansk on the DataMass track at Infoshare. As it often happens, the talk time slot impacted what I wanted to share but maybe it's for good. Otherwise, you wouldn't read stream processing fallacies!
KDnuggets
MAY 30, 2024
Let’s go beyond the traditional retail industry and discuss how advanced AI-powered innovations are driving business growth.
Data Engineering Digest brings together the best content for data engineering professionals from the widest variety of industry thought leaders.
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Towards Data Science
MAY 30, 2024
Explore how to build, trigger and parameterize a time-series data pipeline in Azure, accompanied by a step-by-step tutorial Continue reading on Towards Data Science »
Knowledge Hut
MAY 30, 2024
Everybody sees a dream—aspiring to become a doctor, astronaut, or anything that fits your imagination. If you were someone who had a keen interest in looking for answers and knowing the “why” behind things, you might be a good fit for research. Further, if this interest revolved around computers and tech, you would be an excellent computer researcher!
Towards Data Science
MAY 30, 2024
MLOps: Datapipeline Orchestration Dataform 101, Part 2: Provisioning with Least Privilege Access Control A typical positioning of Dataform in a data pipeline [Image by author] This is the concluding part of Dataform 101 showing the fundamentals of setting up Dataform with a focus on its authentication flow. This second part focussed on terraform implementation of the flow explained in part 1.
Cloudera
MAY 30, 2024
The financial services industry is undergoing a significant transformation, driven by the need for data-driven insights, digital transformation, and compliance with evolving regulations. In this context, Cloudera and TAI Solutions have partnered to help financial services customers accelerate their data-driven transformation, improve customer centricity, ensure compliance with regulations, enhance risk management, and drive innovation.
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.
Precisely
MAY 30, 2024
Key Takeaways: Cloud-based High Availability Disaster Recovery (HA-DR) solutions enhance operational efficiency, leveraging automation to streamline recovery processes and reduce downtime expenses. Adopting unique cloud HA-DR strategies improves data redundancy and security, aligns with strict regulatory standards, and proactively manages disaster risks.
Cloudera
MAY 30, 2024
Cloudera customers run some of the biggest data lakes on earth. These lakes power mission-critical, large-scale data analytics and AI use cases—including enterprise data warehouses. Nearly two years ago, Cloudera announced the general availability of Apache Iceberg in the Cloudera platform, which helps users avoid vendor lock-in and implement an open lakehouse.
ArcGIS
MAY 30, 2024
Editing Templates can be stored in the Geodatabase with an Add-In.
Monte Carlo
MAY 30, 2024
Generative AI has the potential to transform your business and your data engineering team, but only when it’s done right. So how can your data team actually drive value with your LLM or GenAI initiative? Leading organizations are often deciding between two emerging frameworks that differentiate their AI for business value: RAG vs fine tuning. What’s the difference between retrieval augmented generation (RAG) vs fine tuning?
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.
Elder Research
MAY 30, 2024
If you’re interested in data science careers, keep reading. This article features some helpful tips for those new to the field.
databricks
MAY 30, 2024
Whether you are working on a live title, pre/post production, ongoing maintenance, future releases, another version of a game, or a brand new.
RandomTrees
MAY 30, 2024
Creating diagrams has become essential in today’s data-driven world, whether you’re visualizing cloud architectures, documenting processes, or mapping complex systems. Fortunately, a range of powerful tools makes this task easier than ever. From free, open-source options to advanced, collaborative platforms, these tools cater to various needs and preferences.
Start Data Engineering
MAY 30, 2024
Introduction Data is stored on disk and processed in memory Running the code Run on Codespaces Run on your laptop Using python REPL Python basics Python is used for extracting data from sources, transforming it, & loading it into a destination [Extract & Load] Read and write data to any system [Transform] Process data in Python or instruct the database to process it [Data Quality] Define what you expect of your data and check if your data confirms it [Code Testing] Ensure your code does
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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