Navigating complex data landscapes with data observability through Monte Carlo
Harness the power of data observability across your modern data stack.
Systems | Development | Analytics | API | Testing
Modern Software Development For Today's Systems & Applications
Integration
Fivetran supports Amazon S3 as a destination with Apache Iceberg
Our new offering accelerates data delivery to Amazon S3 with secure, fully managed pipelines and comprehensive compliance.
Fivetran Demo: Landing data into Amazon S3 with Fivetran
Learn how to move data into S3 as a destination with Fivetran.
Taming the HiPPO with data-driven decision making
What is the HiPPO? Learn how organizations can overcome this phenomenon through data-driven decisions.
NEW: REST API and 30+ Custom API Integrations Available Now in Databox
Pull in data right from within our interface without a 3rd party service.
Integration Testing Types & Techniques in Software Testing
In software development, integration testing is essential in ensuring that all system components function correctly and work together seamlessly. Critical bugs can go unnoticed without proper integration testing, leading to significant issues in production environments. This blog talks about Integration testing and Types of Integration testing. One example of a bug found in production due to the absence of integration testing is the infamous Equifax data breach in 2017.
Cost-effective ELT: Four factors to consider
From DIY opportunity cost and pipeline maintenance to moving and transforming data, here’s how to judge the cost-effectiveness of ELT.
Enterprise Data Integration Projects: 5 Pillars For Success
The importance of an organization’s data strategy cannot be understated in today’s world. With the speed at which data is created across the digital landscape, organizations need to be able to harness information from a wide variety of disparate sources at a rapid pace to drive business intelligence and competitive advantage.
Top 10 Data Integration Tools to Try in 2023
In the modern era, effective decision-making is powered by data-generated insights. This data is typically spread across various sources and applications. Companies can analyze each data source separately, but it won't be an efficient option since it doesn't bring the whole representation of data comprehension. And that's where data integration tools come in.
Automating your data for better decision-making
Instead of relying on inaccurate, messy and low-quality data, business leaders can instead drive innovation forward by turning to automated data management, creating a clean and steady data flow.