DataKitchen

5 hot new IT jobs — and why they just might stick

DataKitchen

The post 5 hot new IT jobs — and why they just might stick first appeared on DataKitchen. News News / PR

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Data Engineers are Burned Out and Calling for DataOps

DataKitchen

The post Data Engineers are Burned Out and Calling for DataOps first appeared on DataKitchen. DataOps Engineering News / PR Press Release

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DataOps is the Factory that Supports Your Data Mesh

DataKitchen

Below is our final post (5 of 5) on combining data mesh with DataOps to foster innovation while addressing the challenges of a data mesh decentralized architecture. We see a DataOps process hub like the DataKitchen Platform playing a central supporting role in successfully implementing a data mesh.

Start DataOps Today with ‘Lean DataOps’

DataKitchen

Data organizations don’t always have the budget or schedule required for DataOps when conceived as a top-to-bottom, enterprise-wide transformational change. An essential part of the DataOps methodology is Agile Development , which breaks development into incremental steps.

Monitoring AWS Container Environments at Scale

In this eBook, learn how to monitor AWS container environments at scale with Datadog and which key metrics to monitor when leveraging two container orchestration systems (ECS and EKS).

How DataOps is Transforming Commercial Pharma Analytics

DataKitchen

DataOps has become an essential methodology in pharmaceutical enterprise data organizations, especially for commercial operations. Companies that implement it well derive significant competitive advantage from their superior ability to manage and create value from data.

Implementing a Pharma Data Mesh using DataOps

DataKitchen

Below is our fourth post (4 of 5) on combining data mesh with DataOps to foster innovation while addressing the challenges of a decentralized architecture. We’ve covered the basic ideas behind data mesh and some of the difficulties that must be managed.

Addressing Data Mesh Technical Challenges with DataOps

DataKitchen

Below is our third post (3 of 5) on combining data mesh with DataOps to foster greater innovation while addressing the challenges of a decentralized architecture.

Use DataOps With Your Data Mesh to Prevent Data Mush

DataKitchen

In our last post, we summarized the thinking behind the data mesh design pattern. In this post (2 of 5), we will review some of the ideas behind data mesh, take a functional look at data mesh and discuss some of the challenges of decentralized enterprise architectures like data mesh.

What is a Data Mesh?

DataKitchen

The data mesh design pattern breaks giant, monolithic enterprise data architectures into subsystems or domains, each managed by a dedicated team.

How Predictive and Prescriptive Analytics Improve the Call Center Experience

DataKitchen

The post How Predictive and Prescriptive Analytics Improve the Call Center Experience first appeared on DataKitchen. News News / PR

Assess and Advance Your Organization’s DevSecOps Practices

In this white paper, a DevSecOps maturity model is laid out for technical leaders to use to enable their organizations to stay competitive in the digital economy.

Data-driven 2021: Predictions for a new year in data, analytics and AI

DataKitchen

The post Data-driven 2021: Predictions for a new year in data, analytics and AI first appeared on DataKitchen. News News / PR

A Day in the Life of a DataOps Engineer

DataKitchen

A DataOps implementation project consists of three steps. First, you must understand the existing challenges of the data team, including the data architecture and end-to-end toolchain. Second, you must establish a definition of “done.”

DevOps Is Not DataOps

DataKitchen

Arvind Murali, Intelligent Data podcast host, interviews DataKitchen CEO Chris Bergh about how DataOps helps improve the speed of data & analytics deployment. The post DevOps Is Not DataOps first appeared on DataKitchen. Podcast

The DataOps Vendor Landscape, 2021

DataKitchen

Download the 2021 DataOps Vendor Landscape here. Read the complete blog below for a more detailed description of the vendors and their capabilities. DataOps is a hot topic in 2021.

DataOps Lowers The Cost Of Asking Analytic Questions

DataKitchen

The post DataOps Lowers The Cost Of Asking Analytic Questions first appeared on DataKitchen. News News / PR

Address the Challenges of Siloed Monitoring Tools

Companies frequently experience monitoring tool sprawl. Find out why monitoring tool sprawl occurs, why it’s a problem for businesses, and the positive business impacts of monitoring tool consolidation.

Why Enterprise AI Needs Human Intervention

DataKitchen

The post Why Enterprise AI Needs Human Intervention first appeared on DataKitchen. News News / PR

What is a DataOps Engineer?

DataKitchen

A DataOps Engineer owns the assembly line that’s used to build a data and analytic product.

What’s the Secret Recipe for DataOps?

DataKitchen

Catalog & Cocktails podcast hosts Tim Gasper & Juan Sequeda of data.world interview DataKitchen CEO Chris Bergh on how to create the right DataOps culture & measuring the value of your DataOps strategy. The post What’s the Secret Recipe for DataOps? first appeared on DataKitchen.

DataOps Enables Your Data Fabric

DataKitchen

Industry analysts who follow the data and analytics industry tell DataKitchen that they are receiving inquiries about “data fabrics” from enterprise clients on a near-daily basis.

Cloud-Scale Monitoring With AWS and Datadog

In this eBook, find out the benefits and complexities of migrating workloads to AWS, and services that AWS offers for containers and serverless computing.

The Journey to DataOps Success: Key Takeaways from Transformation Trailblazers

DataKitchen

In early April 2021, DataKItchen sat down with Jonathan Hodges, VP Data Management & Analytics, at Workiva ; Chuck Smith, VP of R&D Data Strategy at GlaxoSmithKline (GSK) ; and Chris Bergh, CEO and Head Chef at DataKitchen, to find out about their enterprise DataOps transformation journey, including key successes and lessons learned.

Using DataOps to Drive Agility and Business Value

DataKitchen

In May 2021 at the CDO & Data Leaders Global Summit, DataKitchen sat down with the following data leaders to learn how to use DataOps to drive agility and business value. Kurt Zimmer, Head of Data Engineering for Data Enablement at AstraZeneca.

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Everything You Need to Know About DataOps Solutions

DataKitchen

The post Everything You Need to Know About DataOps Solutions first appeared on DataKitchen. On-Demand Webinar Webinar / Podcast

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DataOps engineers run toward error and automate it away

DataKitchen

The post DataOps engineers run toward error and automate it away first appeared on DataKitchen. News News / PR

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What E-Commerce Performance Metrics Are CTOs Monitoring?

In this eBook, Danny Miles, CTO of Dollar Shave Club, reveals an efficient framework for thinking about and prioritizing the performance metrics that matter most to him, providing a blueprint for fellow e-commerce CTOs to follow as they evaluate their own business.

Data Observability and Monitoring with DataOps

DataKitchen

Data errors impact decision-making. When analytics and dashboards are inaccurate, business leaders may not be able to solve problems and pursue opportunities. Data errors infringe on work-life balance. They cause people to work long hours at the expense of personal and family time.

How DataOps Enables a Data Fabric

DataKitchen

The post How DataOps Enables a Data Fabric first appeared on DataKitchen. On-Demand Webinar Webinar / Podcast

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Pitching a DataOps Project That Matters

DataKitchen

Every DataOps initiative starts with a pilot project. How do you choose a project that matters to people? DataOps addresses a broad set of use cases because it applies workflow process automation to the end-to-end data-analytics lifecycle.

DataOps Reports that Keep Your Finger on the Pulse

DataKitchen

It’s never good when your boss calls at 5 pm on a Friday. The weekly analytics didn’t build correctly. What happened? Call me every hour with updates until you figure it out!”. For many data professionals, this situation is all too familiar.

AI in Manufacturing

Manufacturers want to deliver the best products on the market as quickly and ethically as possible. Learn how to solve your most urgent manufacturing and business needs with an enterprise AI platform.

What Should Enterprises Do to Offset Future Technology Disruption?

DataKitchen

The post What Should Enterprises Do to Offset Future Technology Disruption? first appeared on DataKitchen. News News / PR

Do You Need a DataOps Dojo?

DataKitchen

As DataOps activity takes root within an enterprise, managers face the question of whether to build centralized or decentralized DataOps capabilities. Centralizing analytics brings it under control but granting analysts free reign is necessary to foster innovation and stay competitive.

The Business Case for DataOps

DataKitchen

Savvy executives maximize the value of every budgeted dollar. Decisions to invest in new tools and methods must be backed up with a strong business case.

DevOps and agile still hindered by enterprise silos, inertia

DataKitchen

The post DevOps and agile still hindered by enterprise silos, inertia first appeared on DataKitchen. News News / PR

Build Trustworthy AI With MLOps

Machine learning operations (MLOps) helps companies deliver machine learning applications in production at scale. Discover the importance of secure MLOps in the four critical areas of model deployment, monitoring, lifecycle management, and governance.

Jumpstart Your DataOps Program with DataKitchen’s Lean DataOps

DataKitchen

Adopting DataOps can be easy; by following DataKitchen's 'Lean DataOps' four-phase program, you can roll out DataOps in smaller, easy-to-manage increments. The post Jumpstart Your DataOps Program with DataKitchen’s Lean DataOps first appeared on DataKitchen. On-Demand Webinar

Big Data 50: Companies Driving Innovation

DataKitchen

The post Big Data 50: Companies Driving Innovation first appeared on DataKitchen. News News / PR

DataKitchen’s 2020 Honors & Awards

DataKitchen

While 2020 has been a collectively difficult year, we want to take a moment to thank all of our employees for the hard work they put into continually developing our DataKitchen DataOps Platform for our customers.

10 Upcoming Data Science Platforms for Massive Disruption

DataKitchen

The post 10 Upcoming Data Science Platforms for Massive Disruption first appeared on DataKitchen. News News / PR

The Business Value of MLOps

As machine learning models are put into production and used to make critical business decisions, the primary challenge becomes operation and management of multiple models. This report highlights some of the most impactful benefits of MLOps tools.