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DataOps For Business Analytics Teams

DataKitchen

Business analysts must rapidly deliver value and simultaneously manage fragile and error-prone analytics production pipelines. Data tables from IT and other data sources require a large amount of repetitive, manual work to be used in analytics. In business analytics, fire-fighting and stress are common.

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Data science vs data analytics: Unpacking the differences

IBM Big Data Hub

How effectively and efficiently an organization can conduct data analytics is determined by its data strategy and data architecture , which allows an organization, its users and its applications to access different types of data regardless of where that data resides.

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2020 Data Impact Award Winner Spotlight: United Overseas Bank

Cloudera

Engaging employees in a digital journey is something Cloudera applauds, as being truly data-driven often requires a shift in the mindset of an entire organisation. Putting data at the heart of the organisation. The platform is built on a data lake that centralises data in UOB business units across the organisation.

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DataKitchen’s 2020 Honors & Awards

DataKitchen

In June of 2020, Database Trends & Applications featured DataKitchen’s end-to-end DataOps platform for its ability to coordinate data teams, tools, and environments in the entire data analytics organization with features such as meta-orchestration , automated testing and monitoring , and continuous deployment : DataKitchen [link].

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Amazon Redshift announcements at AWS re:Invent 2023 to enable analytics on all your data

AWS Big Data

Amazon Redshift Serverless, generally available since 2021, allows you to run and scale analytics without having to provision and manage the data warehouse. With Stripe Data Pipeline for Amazon Redshift, we’re helping our customers set up a direct and reliable data pipeline in a few clicks.

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What is a knowledge worker and what do they do?

IBM Big Data Hub

Knowledge workers can use them to quickly gather information about a topic, search for solutions to business problems and flesh out innovative ideas. Business analytics: Data and insights help knowledge workers make informed decisions and find new opportunities. The challenge for many may simply be time.