Systems | Development | Analytics | API | Testing

What is the Best ETL Tool for Big Data Analysis?

When it comes to modern integration, the ETL or Extract, Transform, Load process serves as the backbone. Essentially, the ETL process works to efficiently migrate massive quantities of information or data into target data warehouses or data lakes. And with the ever-growing importance of data in business, handling and processing data efficiently is becoming far more important than ever.

Introducing Linx 6

Seven years ago, we announced Linx 5, a release specifically designed to modernise and commercialise an internal tool we had been using with our enterprise customers for the previous 15 years. By all accounts, Linx 5 was a huge success with our customers and partners. With Linx 6, we’ve built on that success with new features, a streamlined UI, and a new diffable file format – something our customers have been clamouring for.

How Observe Built An Observability Platform On Snowflake.

The Observability Platform from Observe is a tool that helps engineers and DevOps teams quickly analyze the performance of and troubleshoot problems with an organization’s distributed applications. Its power comes from its ability to ingest any kind of telemetry and machine data–trace data, log data, metric data, billing data, and so on–into a single source using Snowflake, and then map the relationships between data sets. These relationships can be displayed graphically as an interactive visualization, making it easy for end users to trace connections between datasets in order to diagnose the cause of error notifications or gain insight into an application's performance.

Netlify Identity protects Ably apps from hacks

A few weeks ago I saw this message in our internal support channel on Slack, and it made my gears grind. So I stopped to take a look, since the last thing we want is a customer taken advantage of. There are people out there on the internet cheeky enough to freeload off your account, and use up your monthly quotas. What's more: you may not know that it is happening.