Data observability tools have become increasingly important as businesses rely more and more on data-driven decision-making. These tools are used to support the data’s reliability, consistency, and accuracy throughout the business. Data observability has become necessary for developing trustworthy data and diagnosing data flow problems that interfere with the business’s objectives. Data observability tools normally […]
Telmai Unveils New Release Aimed at Facilitating Data Observability Adoption
According to a new press release, Telmai, an AI-driven data observability platform, has introduced a significant new release featuring seven pioneering features aimed at simplifying and accelerating data observability adoption within enterprises. With the growing complexity of the data landscape, Telmai’s release addresses the need for continuous, reliable data flow. This release empowers data professionals to […]
Observability Maturity Model: A Framework to Enhance Monitoring and Observability Practices
Imagine this heartfelt conversation between a cloud architect and her customer who is a DevOps engineer: Cloud architect: “How satisfied are you with the monitoring in place?” DevOps engineer: “It is all right. We just monitor our servers and their health status – nothing more.” Cloud architect: “Is that the desired state of monitoring you […]
Leveraging Data Pipelines to Meet the Needs of the Business: Why the Speed of Data Matters
Gone are the days when customers would place an order and patiently wait for hours or even days for goods to be delivered, or when letters would travel through snail mail to reach their recipients. Today, businesses and individuals expect instant access to information and swift delivery of services. The same expectation applies to data, […]
Testing and Monitoring Data Pipelines: Part Two
In part one of this article, we discussed how data testing can specifically test a data object (e.g., table, column, metadata) at one particular point in the data pipeline. While this technique is practical for in-database verifications – as tests are embedded directly in their data modeling efforts – it is tedious and time-consuming when end-to-end data […]
Data Observability: What It Is and Why It Matters
As a process, data observability is used by businesses working with massive amounts of data. Many large, modern organizations try to monitor their data using a variety of applications and tools. Unfortunately, few businesses develop the visibility necessary for a realistic overview. Data observability provides that overview, to eliminate data flow problems as quickly as […]
Testing and Monitoring Data Pipelines: Part One
Suppose you’re in charge of maintaining a large set of data pipelines from cloud storage or streaming data into a data warehouse. How can you ensure that your data meets expectations after every transformation? That’s where data quality testing comes in. Data testing uses a set of rules to check if the data conforms to […]
Elevate Your Decision-Making: The Impact of Observability on Business Success
In our rapidly evolving microservices and digital landscape, keeping track of what is happening with these services and making well-informed decisions is paramount for business success. With observability, organizations can navigate complex challenges and unlock their full potential in the digital world. Observability is a term that was coined for control systems to measure how well a […]
Data Observability vs. Monitoring vs. Testing
Companies are spending a lot of money on data and analytics capabilities, creating more and more data products for people inside and outside the company. These products rely on a tangle of data pipelines, each a choreography of software executions transporting data from one place to another. As these pipelines become more complex, it’s important […]
Observability: Traceability for Distributed Systems
Have you ever waited for that one expensive parcel that shows “shipped,” but you have no clue where it is? The tracking history stopped updating five days ago, and you have almost lost hope. But wait, 11 days later, you have it at your doorstep. You wished the traceability could have been better to relieve […]