Thu.Apr 24, 2025

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AI and Data in Production: Insights from Avinash Narasimha [AI Solutions Leader at Koch Industries]

Data Engineering Weekly

In our latest episode of Data Engineering Weekly, co-hosted by Aswin, we explored the practical realities of AI deployment and data readiness with our distinguished guest, Avinash Narasimha, Former AI Solutions Leader at Koch Industries. This discussion shed significant light on the maturity, challenges, and potential that generative AI and data preparedness present in contemporary enterprises.

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2025 DLT Update: Intelligent, fully governed data pipelines

databricks

Over the past several months, weve made DLT pipelines faster, more intelligent, and easier to manage at scale.

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Future-Proofing Your Machine Learning Career in a Rapidly Changing Industry

KDnuggets

Key insights, tips, and best practices to help you future-proof your machine learning career in the direction that best resonates with you.

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Debezium vs Kafka Connect Simplified: 3 Critical Differences

Hevo

Based on a report, Apache Kafka stores and streams more than 7 trillion real-time messages per day. However, fetching real-time messages from external sources or applications is a tedious process as it involves writing extensive code for implementing the data exchange.

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A Guide to Debugging Apache Airflow® DAGs

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

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Announcing: Heroic Labs Satori Integration with Databricks

databricks

Unleashing the Power of Predictive Analytics and LiveOps Satori and Databricks Integration In the dynamic world of game development, data is the ultimate power-up.

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Convert CSV to Excel with DuckDB, Polars, etc.

Confessions of a Data Guy

Every so often, I have to convert some.txt or.csv file over to Excel format … just because that’s how the business wants to consume or share the data. It is what it is. This means I am often on the lookup for some easy to use, simple, one-liners that I can use to […] The post Convert CSV to Excel with DuckDB, Polars, etc. appeared first on Confessions of a Data Guy.

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What is Architecture? by James Heward

Scott Logic

When people hear the term Architecture, they might think about buildings and physical structures. However, within the enterprise IT world the term is used to describe a variety of activities. But what do we mean when we talk about Architecture in this context? There are lots of definitions available, all subtly different. In this blog post, Ill outline how we think about Architecture, some of the different flavours of Architecture that you may come across and how they work together to deliver bu

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SaaS – Software-as-a-Service

WeCloudData

In an era defined by digital agility and data-driven decision-making, Software-as-a-Service offers organizations scalable, cloud-based solutions that eliminate the burden of infrastructure management and reduce operational costs. SaaS is a cloud computing model that enables users to pay for access to cloud-hosted software over the internet, rather than purchasing it.

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The Challenge of Merging Varied Real-Time Data Inputs

Striim

Todays businesses generate and collect vast amounts of data from an ever-growing array of sourcestransactional databases, customer relationship management (CRM) systems, website interactions, social media platforms, IoT devices, and more. However, integrating and harmonizing these disparate data streams in real time presents a formidable challenge. The complexity arises from differences in data formats, structures, latency requirements, and the need for seamless orchestration between multiple sy

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SaaS – Software-as-a-Service

WeCloudData

In an era defined by digital agility and data-driven decision-making, Software-as-a-Service offers organizations scalable, cloud-based solutions that eliminate the burden of infrastructure management and reduce operational costs. SaaS is a cloud computing model that enables users to pay for access to cloud-hosted software over the internet, rather than purchasing it.

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Mastering Apache Airflow® 3.0: What’s New (and What’s Next) for Data Orchestration

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.

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DataKitchen Is One Of The Coolest DataOps & Data Observability Companies of 2025

DataKitchen

DataKitchen Is One Of The Coolest DataOps & Data Observability Companies of 2025 Were thrilled to share that DataKitchen has once again been named one of the Coolest DataOps & Data Observability Companies for 2025 by CRN! Its an honor to be recognized alongside such innovative leaders in the space. As the first company to define and deliver DataOps , were especially excited to see how this list continues to growproof that the movement we helped start is gaining momentum.

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Community Cloud

WeCloudData

With the advancement in digital technology, organizations are seeking secure, collaborative, and cost-effective cloud solutions. Community cloud computing is a model that perfectly fits these criteria. A community cloud is a cloud computing infrastructure shared among a specific group of organizations that share common interests, objectives, or concerns.

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Multi-gate-Mixture-of-Experts (MMoE) model architecture and knowledge distillation in Ads…

Pinterest Engineering

Multi-gate-Mixture-of-Experts (MMoE) model architecture and knowledge distillation in Ads Engagement modeling development Authors: Jiacheng Li | Machine Learning Engineer II, Ads Ranking; Matt Meng | Staff Machine Learning Engineer, Ads Ranking; Kungang Li | Principal Machine Learning Engineer, Ads Performance; Qifei Shen | Senior Staff Machine Learning Engineer, AdsRanking Introduction Multi-gate Mixture-of-Experts (MMoE)[1,2] is a recent industry-proven powerful architecture in neural network

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Infrastructure as a Service (IaaS)

WeCloudData

Infrastructure as a Service (IaaS) is a fundamental component of cloud computing, providing users with on-demand access to computing, storage, and networking resources via the Internet. Together with Platform-as-a-Service (PaaS) and Software-as-a-Service (SaaS), IaaS is one of the three main cloud service models. It has evolved into a vital option for businesses aiming for flexibility, […] The post Infrastructure as a Service (IaaS) appeared first on WeCloudData.

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Agent Tooling: Connecting AI to Your Tools, Systems & Data

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.

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White Paper: A New, More Effective Approach To Data Quality Assessments

DataKitchen

White Paper: A New, More Effective Approach To Data Quality Assessments Data quality leaders must rethink their role. They are neither compliance officers nor gatekeepers of platonic data ideals. They are advocates. Using their language and metrics, they must campaign for change, build coalitions, and show stakeholders why quality matters. This is not a theoretical shift; it is a practical one.

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