Systems | Development | Analytics | API | Testing

Picking the right business intelligence (BI) tool is essential to helping you beat your competitors, better serve your customers, and make smarter data-driven decisions. However, there's no one-size-fits-all tool for every enterprise. Not all BI users are created equal, and not all users should have the same level of access to sensitive and confidential data.

Written in Python, Apache Airflow is an open-source workflow manager used to develop, schedule, and monitor workflows. Created by Airbnb, Apache Airflow is now being widely adopted by many large companies, including Google and Slack. Being a workflow management framework, Apache Airflow differs from other frameworks in that it does not require exact parent-child relationships. Instead, you only need to define parents between data flows, automatically organizing them into a DAG (directed acyclic graph).

In the second of this two-part episode of Data+AI Battlescars, Sandeep Uttamchandani, Unravel Data’s CDO, speaks with Kapil Surlaker, VP of Engineering and Head of Data at LinkedIn. In part one, they covered LinkedIn’s challenges related to metadata management and data access APIs. This second part dives deep into data quality.

We are happy to announce a new major release of Kuma, and a new major release of Kong Mesh built on Kuma! Kuma 1.2 ships with 20 new features and countless improvements. We strongly suggest to upgrade, in order to take advantage of the latest and greatest when it comes to service mesh.

A common problem that our customers have is event streaming spikey traffic to their clients. For example, imagine a server which needs to stream details on cryptocurrency trades. The quantity of trades happening each second is likely to fluctuate, sometimes nothing could happen, other times perhaps thousands. In order to ensure reliable communication, it’s important that rate limits are in place on how many messages are to be sent to subscribed clients.