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Rethinking Object Storage: A First Look at CloudflareR2 and Its BuiltIn ApacheIceberg Catalog Sometimes, we follow tradition because, well, it worksuntil something new comes along and makes us question the status quo. For many of us, AmazonS3 is that welltrodden path: the backbone of our data platforms and pipelines, used countless times each day. If […] The post Cloudflare R2 Storage with Apache Iceberg appeared first on Confessions of a Data Guy.
If you work in data, then youve likely used BigQuery and youve likely used it without really thinking about how it operates under the hood. On the surface BigQuery is Google Clouds fully-managed, serverless data warehouse. Its the Redshift of GCP except we like it a little more. The question becomes, how does it work?… Read more The post What Is BigQuery And How Do You Load Data Into It?
dbt is the standard for creating governed, trustworthy datasets on top of your structured data. MCP is showing increasing promise as the standard for providing context to LLMs to allow them to function at a high level in real world, operational scenarios. Today, we are open sourcing an experimental version of the dbt MCP server. We expect that over the coming years, structured data is going to become heavily integrated into AI workflows and that dbt will play a key role in building and provision
Loved by Business Leaders, Trusted by Analysts Last year, we introduced Spotter our AI analyst that delivers agentic data experiences with enterprise-grade trust and scale. Today, were delivering several key innovations that will help you streamline insights-to-actions with agentic analytics, crossing a major milestone on our path to enabling an autonomous business.
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
Selecting the appropriate data platform becomes crucial as businesses depend more and more on data to inform their decisions. Although they take quite different approaches, Microsoft Fabric and Snowflake, two of the top players in the current data landscape, both provide strong capabilities. Understanding how these platforms compare can assist you in selecting the best option for your company, regardless of your role as a data engineer, business analyst, or decision-maker.
Early enterprise adopters of generative AI have made it clear that a robust data strategy is the cornerstone of any successful AI initiative. To truly unlock AI's potential as a value multiplier and catalyst for reimagined customer experiences, an easy-to-use and trusted data platform is indispensable. Our recent report The Radical ROI of Gen AI proves gen AI is a profit engine, with more than nine in 10 surveyed early adopters saying that their gen AI investment is in the black.
PaaS is a fundamental cloud computing model that offers developers and organizations a robust environment for building, deploying, and managing applications efficiently. This blog provides detailed information on data Platform as a Service (PaaS),, how it differs from other cloud computing models, its working principles, and its benefits. Lets get started and explore PaaS with […] The post Platform as a Service (PaaS) appeared first on WeCloudData.
PaaS is a fundamental cloud computing model that offers developers and organizations a robust environment for building, deploying, and managing applications efficiently. This blog provides detailed information on data Platform as a Service (PaaS),, how it differs from other cloud computing models, its working principles, and its benefits. Lets get started and explore PaaS with […] The post Platform as a Service (PaaS) appeared first on WeCloudData.
Read Time: 2 Minute, 34 Second Introduction In modern data pipelines, especially in cloud data platforms like Snowflake, data ingestion from external systems such as AWS S3 is common. However, one critical question that often arises is: How do we ensure the data we receive from the source matches the data we ingest into Snowflake tables? This is where “Snowpark Magic: Auto-Validate Your S3 to Snowflake Data Loads”comes into play a powerful approach to automate row-level validation b
Data is more than simply numbers as we approach 2025; it serves as the foundation for business decision-making in all sectors. However, data alone is insufficient. To remain competitive in the current digital environment, businesses must effectively gather, handle, and manage it. Data engineering can help with it. It is the force behind seamless data flow, enabling everything from AI-driven automation to real-time analytics.
Exclusive look at Apache Airflow® 3.0 Get a first look at all the new features in Airflow 3.0, such as DAG versioning, backfills, and dark mode, in a live session this Wednesday, April 23. Plus, get your questions answered directly by Airflow experts and contributors. Register now → Thoughtworks: AI on Technology Radar ThoughtWorks' technology radar inspired many enterprises to build their internal tech radars, standardizing and suggesting technology, tools, and framework adoption.
Real-time data has become a non-negotiable foundation for powering machine learning (ML) and generative AI (GenAI). From delivering event-driven predictions to powering live recommendations and dynamic chatbot conversations, AI/ML initiatives depend on the continuous movement, transformation, and synchronization of diverse datasets across clouds, applications, and databases.
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
Are you interested in enhancing your machine learning skills? We have put together an outstanding list of free machine learning books to aid your learning journey!
In today’s cloud-native world, applications must be agile, scalable, and loosely coupled. Enter Amazon EventBridge, a fully managed serverless event bus service that makes it easier to build event-driven applications using data from your AWS services, custom applications, or SaaS providers. In this blog, we will explore what EventBridge is, its features, how it works, and how it compares with other AWS messaging services, such as SNS and SQS.
Learn how to achieve data consistency and reliability with a complete Apache Kafka consumer offsets guide covering key principles, offset management, and KIP-1094 innovations.
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
Understanding the AWS Shared Responsibility Model is essential for aligning security and compliance obligations. The model delineates the division of labor between AWS and its customers in securing cloud infrastructure and applications. Under this framework, AWS guarantees the security of the cloud, encompassing physical infrastructure, networking, and virtualization layers, while customers safeguard their workloads, data, and configurations in the cloud.
Introduction Since our last roundup in February, Databricks AI/BI Dashboards and Genie have received even more exciting enhancements, making our native analytical offering more intuitive,
The efficient management of exponentially growing data is achieved with a multipronged approach based around left-shifted (early-in-the-pipeline) governance and stream processing.
In this new webinar, Tamara Fingerlin, Developer Advocate, will walk you through many Airflow best practices and advanced features that can help you make your pipelines more manageable, adaptive, and robust. She'll focus on how to write best-in-class Airflow DAGs using the latest Airflow features like dynamic task mapping and data-driven scheduling!
Salesforce Lightning is likely familiar to anyone who works with or plans to use Salesforce. Could you please explain what it is and why it is a topic of discussion? We’ll explain everything in this blog post in the most straightforward manner possible—no complicated terms, just the features, advantages, and reasons why moving to Lightning might revolutionize your company.
Shift-left, streams-first integrations unlock data modernization in government agencies. Learn how data streaming enables public sector innovation with Public Sector Summit recaps.
Many software teams have migrated their testing and production workloads to the cloud, yet development environments often remain tied to outdated local setups, limiting efficiency and growth. This is where Coder comes in. In our 101 Coder webinar, you’ll explore how cloud-based development environments can unlock new levels of productivity. Discover how to transition from local setups to a secure, cloud-powered ecosystem with ease.
“Data scientists spend 80% of their time cleaning and organizing data—and only 20% actually analyzing it.” – Forbes It’s a painful truth. You hire a data team to uncover insights, predict trends, and drive growth.
As data engineers, we spend countless hours combing through logs - tracking pipeline states, monitoring Spark cluster performance, reviewing SQL queries, investigating errors, and validating data quality. These logs are the lifeblood of our data platforms , but parsing and analyzing them efficiently remains a persistent challenge. This comprehensive guide explores why data stacks are fundamentally built on logs and why skilled log analysis is critical for the data engineer’s success.
Apache Airflow® is the open-source standard to manage workflows as code. It is a versatile tool used in companies across the world from agile startups to tech giants to flagship enterprises across all industries. Due to its widespread adoption, Airflow knowledge is paramount to success in the field of data engineering.
Starting freelancing can feel overwhelming, but mastering specialized, high-paying skills can help you stand out in competitive markets and secure better opportunities.
Dialogue on an Inevitable Transformation Imagining the world in 2050 is a fascinating exercise. What will be the impact on businesses and the roles within them? Here, we focus on the role of the Chief Data Officer (CDO) to understand its future evolution, transitioning from technical management to a hybrid role combining strategy, innovation, and human engagement.
In today’s data-driven society, companies and groups are always looking for better methods to use data without letting users’ privacy or security suffer. Newly developed synthetic data, which mimics real-world data without incorporating any sensitive or personally identifiable information, is one of the most encouraging solutions. Synthetic data has grown in importance as a resource for research, model testing, and algorithm training due to the proliferation of ML and AI.
Large enterprises face unique challenges in optimizing their Business Intelligence (BI) output due to the sheer scale and complexity of their operations. Unlike smaller organizations, where basic BI features and simple dashboards might suffice, enterprises must manage vast amounts of data from diverse sources. What are the top modern BI use cases for enterprise businesses to help you get a leg up on the competition?
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