Data observability is the term given to a system of practices and processes, designed to fully understand the health and functionality of a company’s data as it is created, collected, processed, and generally flows through the business. […]
Read More… from 4 Pillars of data observability, and why are they important?
The ability to look back at what has been done, analyse the results, and improve going forward is a staple function for any business, but when it comes to the healthcare industry – it can literally save lives. […]
Read More… from Healthcare data analytics: 6 things you need to know, and how it can change lives
With more than 36,211 companies utilising data warehousing in 64 technologies, and covering industries across the globe, it is unsurprising that data-driven and tech-savvy companies are looking to find the best technology partners for their business needs and are making more and more use of the space and options made available. […]
Read More… from Databricks vs Snowflake: Whats right for you?
Technology continues to evolve at a rapid pace, and companies are finding that if they do not get ahead of the need to update and upgrade, they are losing valuable data and opportunities, which their competitors are picking up instead. […]
Read More… from Comparing Grafana and Datadog: What’s the top choice for 2023?
Digital transformation is the process of modernizing and digitating business processes with technology that can offer a plethora of benefits including reducing long-term costs, improving productivity and streamlining processes. Despite the benefits, research by McKinsey & Company has found that around 70% of digital transformation projects fail, largely down to employee resistance. If you are […]
Read More… from Are you ready to take the lead in driving digital transformation?
Protocols and guidelines are at the heart of data engineering and application development, and the data which is sent using network protocols is broadly divided into stateful vs stateless structures – these rules govern how the data has been formatted, how it sent, and how it is received by other devices (such as endpoints, routers, […]
Read More… from Stateful VS Stateless – What’s right for your application?
Data observability is all about the ability to understand, diagnose, and manage the health of your data across multiple tools and throughout the entire lifecycle of the data. Ensuring that you have the right operational monitoring and support to provide 24/7 peace of mind is critical to building and growing your company. […]
Read More… from Getting data observability done right – Is Monte Carlo the tool for you?
Site Reliability Engineering (SRE) is a set of practices and principles that bring together software engineering and IT infrastructure in order to create highly reliable and scalable software systems. […]
Read More… from 4 SRE metrics you should absolutely be measuring
According to the McKinsey Global Institute, data-driven organisations are 23 times more likely to acquire customers. A business’s data used effectively can be incredibly useful for a business to understand performance, make data-driven decisions and remain agile. World-renowned brands such as Netflix and Starbucks have adopted a data-first approach to drive significant growth and success. […]
Read More… from Data engineering best practices you need to implement
In our latest edition of the ‘Meet the team’ series, we get an insider’s perspective from one of our women in tech – Harshada Khase, a software engineer who has recently joined the Ardent technology team. Harshada has come on board with a willingness and eagerness to achieve and deliver. We look forward to seeing […]
Read More… from Meet the team: Harshada Khadse – Software Engineer
