ThoughtSpot
APRIL 22, 2025
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.
Edureka
APRIL 22, 2025
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.
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Confessions of a Data Guy
APRIL 21, 2025
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.
Seattle Data Guy
APRIL 21, 2025
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?
Speaker: Alex Salazar, CEO & Co-Founder @ Arcade | Nate Barbettini, Founding Engineer @ Arcade | Tony Karrer, Founder & CTO @ Aggregage
If AI agents are going to deliver ROI, they need to move beyond chat and actually do things. But, turning a model into a reliable, secure workflow agent isn’t as simple as plugging in an API. In this new webinar, Alex Salazar and Nate Barbettini will break down the emerging AI architecture that makes action possible, and how it differs from traditional integration approaches.
dbt Developer Hub
APRIL 20, 2025
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
Snowflake
APRIL 22, 2025
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.
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WeCloudData
APRIL 22, 2025
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.
Striim
APRIL 18, 2025
AI and analytics have the potential to transform decision-making, streamline operations, and drive innovation. But theyre only as good as the data they rely on. If the underlying data is incomplete, inconsistent, or delayed, even the most advanced AI models and business intelligence systems will produce unreliable insights. Many organizations struggle with: Inconsistent data formats : Different systems store data in varied structures, requiring extensive preprocessing before analysis.
Edureka
APRIL 22, 2025
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.
KDnuggets
APRIL 22, 2025
Looking to expand your programming toolkit? This guide aims to help Python developers quickly get going with Go.
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
Data Engineering Weekly
APRIL 20, 2025
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.
Cloudyard
APRIL 22, 2025
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
Snowflake
APRIL 23, 2025
In our fast-paced data- and AI-driven world, teaching students the skills they need to succeed in the industry is more critical than ever. If youre an instructor in data science, data engineering or business intelligence at a nonprofit, accredited institution, Snowflakes Academia Program provides a unique opportunity to enhance your teaching experience while equipping students with the in-demand skills they need to stand out in the job market.
Edureka
APRIL 22, 2025
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.
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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. 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
KDnuggets
APRIL 21, 2025
Automating text data cleaning in Python makes it easy to fix messy data by removing errors and organizing it.
DataKitchen
APRIL 18, 2025
Data Quality When You Dont Understand the Data : Data Quality Coffee With Uncle Chip #3 Lets be honestdata quality feels impossible when you dont understand the data. And in large organizations, thats not a rare problem. Its the norm. Ive seen it firsthand: massive data estates maintained by teams who dont know what the numbers, strings, or categories in their tables really mean.
databricks
APRIL 21, 2025
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,
Striim
APRIL 22, 2025
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.
Speaker: Tamara Fingerlin, Developer Advocate
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!
Edureka
APRIL 22, 2025
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.
KDnuggets
APRIL 21, 2025
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!
WeCloudData
APRIL 18, 2025
Hybrid cloud computing is a type of cloud computing that combines the benefits of both private and public clouds. It has emerged as a pivotal strategy for organizations aiming to balance scalability, agility, and control. The hybrid cloud empowers businesses to optimize performance, enhance security, and drive innovation. This blog explores the current landscape of […] The post Hybrid Cloud appeared first on WeCloudData.
databricks
APRIL 22, 2025
Managing high-value equipment deployed across operational sites is a common challenge for construction firms.
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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.
Confluent
APRIL 21, 2025
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.
Edureka
APRIL 22, 2025
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.
KDnuggets
APRIL 21, 2025
Enhance language models with real-time document retrieval and dynamic knowledge integration using retrieval-augmented generation and LlamaIndex.
DataKitchen
APRIL 18, 2025
Welcome to the Data Quality Coffee Series with Uncle Chip Pull up a chair, pour yourself a fresh cup, and get ready to talk shopbecause its time for Data Quality Coffee with Uncle Chip. This video series is where decades of data experience meet real-world challenges, a dash of humor, and zero fluff. Uncle Chipaka Charles Bloche of DataKitchenhas spent his career deep in the trenches of data engineering, wrangling pipelines, building platforms, and navigating the all-too-familiar chaos of data qu
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
databricks
APRIL 23, 2025
Were excited to share that Databricks Ventures has invested in the Series B round of Omni.
Confluent
APRIL 21, 2025
Shift-left, streams-first integrations unlock data modernization in government agencies. Learn how data streaming enables public sector innovation with Public Sector Summit recaps.
ArcGIS
APRIL 21, 2025
Learn how to save geoprocessing tool outputs to the memory workspace, and about some updates in ArcGIS Pro 3.5!
KDnuggets
APRIL 24, 2025
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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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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