Analytics Vidhya
DECEMBER 30, 2024
What will data engineering look like in 2025? How will generative AI shape the tools and processes Data Engineers rely on today? As the field evolves, Data Engineers are stepping into a future where innovation and efficiency take center stage.
Start Data Engineering
JUNE 14, 2024
Run Data Pipelines 2.1. Introduction Whether you are new to data engineering or have been in the data field for a few years, one of the most challenging parts of learning new frameworks is setting them up! Introduction 2. Run on codespaces 2.2. Run locally 3. Projects 3.1. Projects from least to most complex 3.2.
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Monte Carlo
NOVEMBER 26, 2024
Here’s where leading futurist and investor Tomasz Tunguz thinks data and AI stands at the end of 2024—plus a few predictions of my own. 2025 data engineering trends incoming. Small data is the future of AI (Tomasz) 7. The lines are blurring for analysts and data engineers (Barr) 8. Table of Contents 1.
Analytics Vidhya
APRIL 3, 2023
Introduction Companies can access a large pool of data in the modern business environment, and using this data in real-time may produce insightful results that can spur corporate success. Real-time dashboards such as GCP provide strong data visualization and actionable information for decision-makers.
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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.
Analytics Vidhya
SEPTEMBER 20, 2023
Data engineering plays a pivotal role in the vast data ecosystem by collecting, transforming, and delivering data essential for analytics, reporting, and machine learning. Aspiring data engineers often seek real-world projects to gain hands-on experience and showcase their expertise.
Monte Carlo
NOVEMBER 12, 2024
A data engineering architecture is the structural framework that determines how data flows through an organization – from collection and storage to processing and analysis. It’s the big blueprint we data engineers follow in order to transform raw data into valuable insights.
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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.
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Due to its widespread adoption, Airflow knowledge is paramount to success in the field of data engineering.
Speaker: Maher Hanafi, VP of Engineering at Betterworks & Tony Karrer, CTO at Aggregage
💡 This new webinar featuring Maher Hanafi, VP of Engineering at Betterworks, will explore a practical framework to transform Generative AI prototypes into impactful products! There's no question that it is challenging to figure out where to focus and how to advance when it’s a new field that is evolving everyday.
Speaker: Anindo Banerjea, CTO at Civio & Tony Karrer, CTO at Aggregage
This can be especially difficult when working with a large data corpus, and as the complexity of the task increases. Using this case study, he'll also take us through his systematic approach of iterative cycles of human feedback, engineering, and measuring performance.
Speaker: Dr. Greg Loughnane and Chris Alexiuk
Greg Loughnane and Chris Alexiuk in this exciting webinar to learn all about: How to design and implement production-ready systems with guardrails, active monitoring of key evaluation metrics beyond latency and token count, managing prompts, and understanding the process for continuous improvement Best practices for setting up the proper mix of open- (..)
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Why do some embedded analytics projects succeed while others fail? We surveyed 500+ application teams embedding analytics to find out which analytics features actually move the needle. Read the 6th annual State of Embedded Analytics Report to discover new best practices. Brought to you by Logi Analytics.
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. 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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Think your customers will pay more for data visualizations in your application? Five years ago they may have. But today, dashboards and visualizations have become table stakes. Discover which features will differentiate your application and maximize the ROI of your embedded analytics. Brought to you by Logi Analytics.
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