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DataOps describes a novel way of development teams working together collaboratively around data to achieve rapid results and improve customer satisfaction. This book is intended for everyone looking to adopt the DataOps philosophy to improve the governance and agility of their data products. The principles in this book should create a shared understanding of the goals and methods of DataOps and #TrueDataOps and create a starting point for collaboration.
automate SNOWFLAKE | AGILE DELIVERY | guarantee governance
Data warehousing and agility have never existed in the same sentence. See for yourself how DataOps can change this forever
Governance of data assets is critical but is a barrier to agility. See how Dataops delivers agility while INCREASING governance.
DataOps is not technology - its a way of thinking. We support you with best practices, and where technology support these.
DATAOPS.LIVE - A Service That Stands Out
Lifecycle Management & Support for Snowpark & Java UDFs from Snowflake
Through Snowpark, Snowflake and DataOps.live are now enabling data engineers, data scientists, and developers who prefer other languages to take advantage of Snowflake’s powerful platform capabilities and the benefits of Snowflake’s Data Cloud.
DATAOPS Partner Snowflake on the Data Governance Accelerated Program
DataOps.live announced an expanded partnership with Snowflake, the Cloud Data Platform, with immediate support for the latest Snowflake governance and security capabilities required to know your data, comply with regulatory mandates, and collaborate with confidence inside your organization and beyond.
See how DataOps.live builds integrated governance solutions with Snowflake's Governance Accelerated Program and new capabilities around object tagging, access history, row access policies and dynamic masking policies.
What customers Are Saying
“DataOps.live and Snowflake got us from vision to production in frankly terrifyingly short time. Most importantly they have done that while organization, the systems, and the data is constantly changing. Creating clarity and repeatability in this hugely dynamic context, is their unique advantage!!.”
Example of Technologies and Platforms Orchestrated
Fewer employees can deliver higher productivity in a shorter timescale.
By shortening the time to production, businesses can reduce costs by more than 30% (often much higher)
Simplified orchestration and management
DataOps transcends vendor-specific limitations, enabling orchestration of heterogeneous data environment.
Gain access to the valuable insights in a day rather than a month.
Provide assurances and guarantees on data your business stakeholders can rely on.
Using DataOps, teams of people deliver changes in parallel - zero conflict, faster delivery to business.
As with any new technology philosophy, many people and companies’ have jumped on the DataOps bandwagon. As everyone has their own motivations and goals, there are 50+ different definitions of what DataOps is – and most of them we disagree with in some part. Almost all of them start from the perspective of the data before trying to retrospectively incorporate elements of DevOps and Agile to deliver some of the value of DevOps.
#TrueDataOps starts with the truest principles of DevOps, Agile, Lean, test-driven development and Total Quality Management. And applies these principles to the unique discipline of data, data warehousing, data lake management and data analytics (encompassing everything from traditional analytics to machine learning, data science and AI).