Systems | Development | Analytics | API | Testing

The data lakehouse is a promising new technology that combines aspects of data warehouses and data lakes.

In this episode of Metrics and Chill, Sean Henri, Founder and CEO at Pepperland marketing, shares the latest Google Page Experience update details, including how his agency prepared themselves and their clients and the changes they implemented.

At Parameta Solutions, clients have come to expect our data, and our data products, to be robust and reliable. The way we really stand out in this specialist arena is through the quality and sophistication of our client services. I was delighted recently to share my experiences of how ThoughtSpot is supporting us in both of these aims during a webinar hosted by Cindi Howson during the Chief Data & Analytics Officers UK, 2021 event last February.

Globally, the overall consumption of online video is trending up while television watch time is trending down. In a study of 4,500 consumers from 9 major countries, online video viewing grew 85% between 2016 and 2020. Meanwhile, television view time fell 10%. Previously, the onus of live stream testing and success was on networks and cable providers. But with OTT (over-the-top) streaming on the rise, media organizations face increased demand to deliver high video quality experience.

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.