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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. GenAI is already transforming how data is managed, analyzed, and utilized, paving the way for […] The post Top 11 GenAI Powered Data Engineering Tools to Follow in 2025 appeared first on Analytics Vidhya.
In the current digital atmosphere, it is very important to understand the difference between network security vs cybersecurity for the proper protection of sensitive data. Though these are often used as identical terms to each other, they stress different aspects of security. Network security is basically concerned with the protection of the network infrastructure, which includes devices and connections, from unauthorized access and other forms of threats.
We have all come to live in the Modern Data Stack, and whether we like it or not, our lives are no longer as simple as they were in the days of SQL Server and SSIS. Things have changed A LOT. There are good and bad sides to that coin. The Modern Data Stack has […] The post Simplicity in the Modern Data Stack appeared first on Confessions of a Data Guy.
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One day, while surfing the web, you click on an ad for a Black Friday Sale. The moment you do, a security alert pops up with a warning that Your Computer may be Compromised. To fix the issue, it asks that you download an application. You would click on the link, thinking this could be a potential solution. The download page claims to have a solution to your problem, but in reality, it infects your computer with malware, which slows it down and compromises your data.
As we approach the new year, it's time to gaze into the crystal ball and ponder the future. In this post, we delve into predictions for 2025, focusing on the transformative role of AI agents, workforce dynamics, and data platforms. Join Ananth Packkildurai, Ashwin Ashish, and Rajesh as they unravel the future and guide us through the fascinating changes ahead.
This article is the second in a multi-part series sharing a breadth of Analytics Engineering work at Netflix, recently presented as part of our annual internal Analytics Engineering conference. Need to catch up? Check out Part 1. In this article, we highlight a few exciting analytic business applications, and in our final article well go into aspects of the technical craft.
This article is the second in a multi-part series sharing a breadth of Analytics Engineering work at Netflix, recently presented as part of our annual internal Analytics Engineering conference. Need to catch up? Check out Part 1. In this article, we highlight a few exciting analytic business applications, and in our final article well go into aspects of the technical craft.
Microsoft created Power BI , a quickly expanding business intelligence (BI) tool and data visualization program, to revolutionize how businesses use data analytics to address business issues. Power BI’s extensive modeling, real-time high-level analytics, and custom development simplify working with data. You will often need to work around several features to get the most out of business data with Microsoft Power BI.
Still reeling from the anarchic introduction of generative AI , 2024 saw the beginnings of a tectonic shift in how we manage, enable, and activate our data for business users. And that left a lot of things to write about. For anyone following the data space over the last year, I shared quite a few articles on the hot-button topics that got me excited, from the evolution of data quality to the maturation of self-service architecturesand a whole lot of AI.
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Angular is a well-known front-end tool for making web apps that are both dynamic and reliable. Additionally, RxJS in Angular offers a full set of tools made to easily handle asynchronous processes and reactive programming. This combination enables developers to create efficient, responsive, and user-friendly applications that adhere to modern web standards.
Every organization is challenged with correctly prioritizing new vulnerabilities that affect a large set of third-party libraries used within their organization. The sheer.
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.
The Cardinality Of Relationships in Power BI plays an important role in defining the relationships between tables as part of the data modeling process. Proper data interpretation is made feasible with performance optimization, as well as highly accurate and efficient reports. Therefore, being well-versed in cardinality has been proven to facilitate the building of reliable models and significantly improve reporting efficiency.
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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Businesses that want to become efficient, effective in their decision process and relevant in the current market must necessarily consider data migration as a top priority. It allows them to implement higher forms of technologies, gather all its data, and produce accurate insights in real-time.
Introduction Data Proposed Workflow AWS Cloud Components Collecting the Data (Lambda Function 1) Writing the Data to the Table (Lambda Function 2) Converting the data in CSV
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
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In this article, we explain the different situations in which network diagrams automatically reflect network changes and those that require users to apply workflow to get changes included in your diagrams.
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Virtual events are central to business communication and audience engagement in this digital-first world. However, success in virtual events goes beyond hosting an online gathering. A lot of the magic involves using the power of data integration and real-time analytics to create impact, boost engagement, and drive measurable results.
Recently, I was working on a little learning around DuckDB and AWS Lambda, which included some work with S3. It had been some time since I had tried working with files in S3, and it was kinda clunky the last time I tried it, whether it was DuckDB’s fault or mine, I was unsure. It […] The post DuckDB reading CSVs from S3. appeared first on Confessions of a Data Guy.
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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
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