Today, we’re announcing Data QnA, a natural language interface for analytics on BigQuery data, now in private alpha. Data QnA helps enable your business users to get answers to their analytical queries through natural language questions, without burdening business intelligence (BI) teams. This means that a business user like a sales manager can simply ask a question on their company’s dataset, and get results back that same way.
As organizations look to get smarter and more agile in how they gain value and insight from their data, they are now able to take advantage of a fundamental shift in architecture. In the last decade, as an industry, we have gone from monolithic machines with direct-attached storage to VMs to cloud. The main attraction of cloud is due to its separation of compute and storage – a major architectural shift in the infrastructure layer that changes the way data can be stored and processed.
In the lifecycle of a data warehouse in production, there are a variety of tasks that need to be executed on a recurring basis. To name a few concrete examples, scheduled tasks can be related to data ingestion (inserting data from a stream into a transactional table every 10 minutes), query performance (refreshing a materialized view used for BI reporting every hour), or warehouse maintenance (executing replication from one cluster to another on a daily basis).
The value of YouTube has grown significantly for companies looking to bolster their brands with video content. The YouTube API is report-based, and its prebuilt reports fall into one of two categories: channel reporting and content owner reporting. Channel reports refer to the videos on a specific YouTube channel, while content owner reports contain data on all the channels owned by a particular individual.
In these uncertain times of the COVID-19 crisis, one thing is certain – data is key to decision making, now more than ever. And, the need for speed in getting access to data as it changes has only accelerated. It’s no wonder, then, that organisations are looking to technologies that help solve the problem of streaming data continuously, so they can run their businesses in real-time.
Worldwide, businesses are adapting to the new market conditions by transforming their current operating models to meet the new consumer demands and improve productivity, all while still focusing on achieving growth. In this new era, taking an outside-in approach to digital business ecosystems can help organizations harness their existing resources and relationships to drive new innovations and efficiency.
Kong Enterprise provides many out-of-the-box plugins to support various access control solutions like basic authentication, key authentication, JWT, LDAP, OAuth 2.0, OpenID Connect, among others. Most of the time, you should be able to find a plugin to suit your needs to protect your private or public APIs using Kong Enterprise without the need of writing your own plugins.
Our CTO, Andrew Stevenson was interviewed by Alan Shimel for TechStrong TV. The discussion was all about hot data topics such as DataOps, DevOps and practices to successfully enable Kafka. Andrew narrates his journey from civil engineering to starting Lenses.io with Antonios, our CEO, to help organizations succeed with real-time data.
The internet is a wonderful tool that has literally transformed the lives of nearly everyone on the planet. This complicated series of fiber optic cables and wireless transmissions, switches and software create a worldwide network that allows for the movement of voice, video and text anywhere in the world at nearly the speed of light.
