Report: Fivetran in talks with dbt Labs over multibillion-dollar big-data merger - SiliconANGLE
Report: Fivetran in talks with dbt Labs over multibillion-dollar big-data merger - SiliconANGLE| SiliconANGLE
Modern data teams today expect faster access to insights, reliable data flows, and zero downtime in their analytics pipelines. And to meet these increasing demands, you need faster data pipeline development cycles. But releasing can take a long time, particularly if your building, testing, and deployment processes are manual. Plus, you also have to set… Read More »Why Integrate CI/CD for End-to-End Data Pipeline Automation The post Why Integrate CI/CD for End-to-End Data Pipeline Automati...| windsor.ai
BigQuery workloads become complex as datasets and transformations scale. Manually running pipelines slows things down and increases the chance of errors. Automating BigQuery pipelines eliminates manual triggers and mistakes, making workflows consistent, dependable, and cost-efficient. With BigQuery pipeline automation, tasks can run in parallel across datasets and regions, allowing for more efficient processing. Jobs adjust… Read More »How to Automate BigQuery Pipelines: Methods & Step...| windsor.ai
Data teams still spend far too much time on preparation rather than generating insights. According to Forrester, analysts devote nearly 70% of their time preparing external data rather than analyzing it. You can imagine how that slows down insights and blows resources. But wrangling and ingesting data doesn’t have to cover a major part of… Read More »Modern Data Stack Explained: Architecture & Must-Have Tools The post Modern Data Stack Explained: Architecture & Must-Have Tools appeare...| windsor.ai
Data pipelines and the broader data stack topic can be complex and overwhelming. Knowing clear, concise explanations of key terms ensures everyone, from analysts and engineers to marketing teams and clients, stays on the same page. A well-defined data pipeline glossary is more than just a reference: it’s an educational framework that reduces misunderstandings, speeds… Read More »Data Pipeline Glossary: 40+ Terms Data Teams Must Know The post Data Pipeline Glossary: 40+ Terms Data Teams ...| windsor.ai
Raw Salesforce data can be messy and difficult to work with. Data silos and time-consuming manual reporting often prevent teams from building a clear view of their Salesforce campaign performance. With the combined power of Windsor.ai, dbt, and BigQuery, you can free your team from hours of cleaning and joining data, so they can focus… Read More »dbt + BigQuery for Salesforce: Build a Complete Campaign Funnel Analytics Layer (Free Package) The post dbt + BigQuery for Salesforce: Build a...| windsor.ai
ELT (Extract, Load, Transform) and ETL (Extract, Transform, Load) are the key elements of modern data workflows, moving raw data from multiple sources into warehouses or other destinations. Previously, data pipelines required engineers and custom SQL, slowing and complicating the process. No-code ELT/ETL tools like Windsor.ai change the game by letting teams build complex data… Read More »No-code ELT/ETL: 10X Faster Data Pipelines with Windsor.ai The post No-code ELT/ETL: 10X Faster Data ...| windsor.ai
BigQuery handles massive datasets efficiently and quickly. But speed isn’t everything. You still need an ELT tool that moves, shapes, and loads data without slowing things down. In 2025, the stakes are higher. Businesses deal with an increasing number of data sources, lower latency, and stricter compliance requirements. The right ELT tool, meaning Extract, Load,… Read More »Top ELT Tools for BigQuery in 2025: Features, Pricing, Use Cases The post Top ELT Tools for BigQuery in 2025: Feat...| windsor.ai
Traditional backup methods can hardly keep up with today’s cloud-native workloads, where countless syncs and transformations happen across platforms. That’s exactly what we’ll cover in this post: the real-world challenges of cloud data recovery and the best practices to mitigate them. Read on to learn how to build a robust data recovery strategy that won’t… Read More »How to Design Recovery-Ready Cloud Data Pipelines (Before It’s Too Late) The post How to Design Recovery-Ready C...| windsor.ai
Raw Facebook Ads data in BigQuery is messy. Table structures differ between campaigns. Metric definitions often change over time. This makes consistent reporting difficult. Analysts often rework SQL just to get CTR (click-through rate), ROAS (return on ad spend), or CPC (cost per click) right. Inconsistent models force marketing teams to work with dashboards that… Read More »How to Build a Clean Facebook Ads Reporting Layer in BigQuery with dbt (Free Package) The post How to Build a Clean...| windsor.ai
If you work with cross-channel data, from marketing and sales to finance and product, centralizing everything in one place is crucial for accurate insights and business success. Google BigQuery is a great choice for data centralization; it’s fast, serverless, and handles massive datasets with ease without the hassle of infrastructure maintenance. But here’s the challenge:… Read More »How to Build an ELT Pipeline into BigQuery: Top Methods and Tips The post How to Build an ELT Pipeline...| windsor.ai
Data is everywhere, and yet many still struggle to use it effectively. At the same time, 73% of business leaders believe that integrated data reduces uncertainty and leads to better decisions. But here’s the catch: getting your data in one place, clean and usable, is often where things fall apart. That’s where ETL (Extract, Transform,… Read More »ETL vs ELT Pipelines: Choosing the Right Data Integration Strategy The post ETL vs ELT Pipelines: Choosing the Right Data Integration Strate...| windsor.ai
Have you ever struggled to unify data from multiple channels or extract deeper insights from raw datasets? You’re not alone—many marketing analysts and data engineers face the same challenge. The good news is that you can use Google BigQuery to significantly simplify this process. As a fully managed, serverless data warehouse, it lets you connect… Read More »What Is BigQuery? The Ultimate Guide for Marketing Analysts and Data Engineers The post What Is BigQuery? The Ultimate Guide for...| windsor.ai
These days, companies generate over 328 million terabytes of data daily. That’s a massive amount — and managing, shaping, and making value of that data is essential if you want accurate reports, always up-to-date insights, and effective data-driven decisions. That’s where ELT (Extract, Load, Transform) pipelines come in. ELT is a data integration method where… Read More »What’s an ELT Data Pipeline? Benefits, Challenges, and Automation The post What’s an ELT Data Pipeline? Benef...| windsor.ai
Is your data scattered all over the place, coming from different sources and getting lost in various silos across your organization? If yes, then you might better understand how tough managing data is without pipeline orchestration, and if not, you should definitely know what this process is. But if you feel like you’re the only… Read More »What Is Data Pipeline Orchestration and Why Does It Matter for Developers? The post What Is Data Pipeline Orchestration and Why Does It Matter for...| windsor.ai
Report: Fivetran in talks with dbt Labs over multibillion-dollar big-data merger - SiliconANGLE| SiliconANGLE
Managing multiple programming languages in a data science workflow often means jumping from one environment to another—adding friction to already complex processes. This slows down collaboration and innovation among teams. But what if there were a way to remove this friction between environments? Working in a single environment that supports multiple coding languages helps give teams time back for development, rather than managing tools. For example, being able to run Python, R, and SAS tog...| SAS Users
Data integration is critical for organizations of all sizes and industries—and one of the leading providers of data integration tools is Talend, which offers the flagship product Talend Studio. In 2023, Talend was acquired by Qlik, combining the two companies’ data integration and analytics tools under one roof. In January 2024, Talend discontinued Talend Open… Read more The post Alternatives to Talend – How To Migrate Away From Talend For Your Data Pipelines appeared first on Seattle...| Seattle Data Guy
Maybe you’re luckier than me. Maybe you’ve never opened a .sql file or an Airflow DAG only to be greeted by a 5,000+ line query…a true monster of a script that leaves you wondering where to begin. I’ve seen plenty of these, and every time, I ask myself: Why in the world do these exist? And, more… Read more| Seattle Data Guy
In this post I want to cover one way that you can automate testing Microsoft Fabric Data Pipelines with YAML pipelines in Azure DevOps.| K Chant
Covers one way you can automate testing Microsoft Fabric Data Pipelines with Azure DevOps. With the Data Factory Testing Framework.| K Chant
Improve your ETL workflows with Databricks and Delta Lake. Learn how to optimize data processing for faster, more reliable, and scalable pipelines with ACID compliance, schema evolution, and real-time data ingestion.| Indium
You’ve surely version controlled code in the past. But have you version controlled your data? Did you ever want to collaborate on large sets of data with various teams without committing a large chunk?| MinIO Blog
Learn how we build data lake infrastructures and help organizations all around the world achieving their data goals.| DareData Blog
