Throughout 2021, data volumes have continued to explode unabated, thereby driving the need to adopt a robust data management/orchestration system to manage this enterprise data. Over the last few years, the term “DataOps” has become somewhat of a buzzword, albeit justified with global searches on the word and its derivatives up over 500% since 2018.
Blog - DataOps
Posts about DataOps Principles:
To paraphrase Datalytyx CTO Guy Adams’ words during the recent ‘Say hello to DataOps for Snowflake’ webinar, DataOps is as much a philosophy as it is a set of technologies and tools. And, because it’s a new area, a lot of people are still struggling to get to grips with it.
Unless it’s on Snowflake with Instantaneous Demand
One of the standard promises of Cloud Data Warehouses when compared to their on-premises alternatives is elasticity. As your requirements go up and down, the system can stretch or shrink with them. All such systems are capable of change to some extent. The question is all about timing.
And 5 Reasons Snowflake’s Data Sharehouse Does
For the past decade the technology world has been obsessed with APIs. While the nature of the APIs themselves has changed over the years (e.g. from SOAP to REST), the premise has always been the same – APIs are the way to allow different systems to share information. This doctrine is so well accepted, no one questions it. Certainly, for transactional processes, such as creating a user account, APIs work fine.
LONDON, United Kingdom, October 17th 2019 – DataOps has launched Gallium as the first of a new era of Snowflake Data Services.
LONDON, United Kingdom, October 17th 2019 – Over the last 2 years, DataOps has been developing Gallium (IoT Smart Data Compression Algorithm) technology, now launched as part of a new era of data services on Snowflake.
In the past 2 years, the rise of the time series database (TSDB) has been meteoric – growing faster than any other database model (as defined by db-engines.com):