DataKitchen

JULY 3, 2023

Data Journey First DataOps Putting Problems in Your Data Estate at the Forefront Welcome to the high-octane world of DataOps, a powerhouse that turbocharges data analytics development and management. Historically, automation has taken center stage in the theater of DataOps. Data Teams Already Have A Ton of Things To Get Done.

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Dataiku

JUNE 23, 2021

So it should be no surprise that an entire field exists to ensure that production data gets from point A to point B when we need it — it's called DataOps. Timely data is a critical driver for this value. Without fresh data, dashboards are out of date, and there are either poor or no predictions from models, causing end users to lose trust.

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DataKitchen

APRIL 13, 2021

Download the 2021 DataOps Vendor Landscape here. DataOps is a hot topic in 2021. This is not surprising given that DataOps enables enterprise data teams to generate significant business value from their data. As a result, vendors that market DataOps capabilities have grown in pace with the popularity of the practice.

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DataKitchen

DECEMBER 7, 2021

If you can’t wait, check out this DataKitchen white paper, Build a Data Mesh Factory with DataOps. Practical DataOps: Delivering Agile Data Science at Scale , by Harvinder Atwal. Practical DataOps: Delivering Agile Data Science at Scale , by Harvinder Atwal. You can purchase Fail Fast, Learn Faster here. Author Laura B.

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DataKitchen

AUGUST 24, 2023

Since the first edition of the DataOps Cookbook in 2019, we have talked with thousands of companies about their struggles to deliver data-driven insight to their customers. And on top of that, they are all unhappy, stressed, and wondering what went wrong. In many ways, they all have the same problems.

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DataKitchen

APRIL 26, 2021

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.

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IBM Big Data Hub

DECEMBER 18, 2019

Enter DataOps. Data volume and data types continue to grow, as do the different types of data citizens—ranging from business users to data scientists. As a result, data management and delivery often become critical bottlenecks.

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DataKitchen

DECEMBER 6, 2022

We are excited that Gartner released its ‘Market Guide to DataOps’ ! The document they wrote is exceptionally close to what we see in the market and what our products do ! This document is essential because buyers look to Gartner for advice on what to do and how to buy IT software. What is missing?

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DataKitchen

FEBRUARY 1, 2021

Every DataOps initiative starts with a pilot project. DataOps addresses a broad set of use cases because it applies workflow process automation to the end-to-end data-analytics lifecycle. DataOps reduces errors, shortens cycle time, eliminates unplanned work, increases innovation, improves teamwork, and more.

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DataKitchen

JANUARY 3, 2022

Instead of throwing people and budgets at problems, DataOps offers a way to utilize automation to systematize analytics workflows. DataOps consolidates processes and workflows into a process hub that curates and manages the workflows that drive the creation of analytics. In business analytics, fire-fighting and stress are common.

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DataKitchen

JANUARY 20, 2021

As DataOps activity takes root within an enterprise, managers face the question of whether to build centralized or decentralized DataOps capabilities. The beauty of DataOps is that you don’t have to choose between centralization and freedom. DataOps Technical Services. DataOps Center of Excellence. DataOps Dojo .

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DataKitchen

NOVEMBER 4, 2021

DataOps concerns itself with the complex flow of data across teams, data centers and organizational boundaries. The requirement to integrate enormous quantities and varieties of data coupled with extreme pressure on analytics cycle time has driven the pharmaceutical industry to lead in DataOps adoption. The Last Mile Problem.

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DataKitchen

JULY 12, 2023

While people can do what they want with language (and many often do), syntax helps ordinary language users understand how to organize words to make the most sense. What is a meaningful test for your business? What is the acceptable rate of change? In linguistics, Syntax is the study of sentence structure and grammar rules.

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DataKitchen

APRIL 28, 2021

Forrester relates that out of 25,000 reports published by the firm last year, the report on data fabrics and DataOps ranked in the top ten for downloads in 2020. What is a Data Fabric? Gartner included data fabrics in their top ten trends for data and analytics in 2019. This is happening to the term “data fabric.”

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DataKitchen

AUGUST 9, 2021

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. We’ve talked about data mesh in organizational terms (see our first post, “ What is a Data Mesh? ”) and how team structure supports agility. DataOps Meta-Orchestration.

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DataKitchen

DECEMBER 30, 2020

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. Top Executive: Christopher Bergh, CEO. Headquarters: Cambridge, Mass. SD Times’s Companies to Watch in 2021.

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DataKitchen

SEPTEMBER 20, 2021

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. In short, Lean DataOps is the fastest path to DataOps value.

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DataKitchen

SEPTEMBER 17, 2021

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. How do you build a data factory?”

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DataKitchen

AUGUST 13, 2021

Pharmaceutical companies are finding that DataOps delivers these benefits. DataOps automation provides a way to boost innovation and improve collaboration related to data in pharmaceutical research and development (R&D). Figure 2 illustrates a self-service DataOps Platform for scientists engaged in pharmaceutical R&D.

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DataKitchen

MARCH 12, 2024

Reducing the errors your customers find and those they do not are key success metrics of Data Observability Using DataKitchen DataOps Observability and DataOps TestGen. DataKitchen Customer Quotes “After implementing, we reduced errors to just about one per quarter. Tests assess important questions, such as “Is the data correct?”

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DataKitchen

JANUARY 10, 2022

Today, DataKitchen announced the release of the latest book in its groundbreaking DataOps series, Recipes for DataOps Success: The Complete Guide to An Enterprise DataOps Transformation. For example, how do you build support for DataOps? What is the best first project? And much more. About DataKitchen.

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DataKitchen

DECEMBER 9, 2022

Query> DataOps. ChatGPT> DataOps, or data operations, is a set of practices and technologies that organizations use to improve the speed, quality, and reliability of their data analytics processes. The goal of DataOps is to help organizations make better use of their data to drive business decisions and improve outcomes.

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DataKitchen

JANUARY 6, 2021

As data professionals, we know the value and impact of DataOps: streamlining analytics workflows, reducing errors, and improving data operations transparency. Being able to quantify the value and impact helps leadership understand the return on past investments and supports alignment with future enterprise DataOps transformation initiatives.

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DataKitchen

FEBRUARY 21, 2023

What is Gartner’s advice for a new data engineering lead like Marcus? Adopt DataOps Practices : “Successful data engineering teams are cross-functional and adopt DataOps practices.” Data team morale is consistent with DataKitchen’s own research. It’s not been going well. A better ETL tool? Pick some other hot tool?

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DataKitchen

NOVEMBER 18, 2022

This is the third post in DataKitchen’s four-part series on DataOps Observability. So, the only way for a data journey to truly observe what’s happening is to get his tools and pipelines to auto-report events. Part 3: Considering the Elements of Data Journeys. Observability includes the following components.

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DataKitchen

DECEMBER 9, 2022

DataKitchen, the leading provider of DataOps solutions, has been named a Representative and “super cool, way out there, OP, world best” DataOps vendor in the December 2022 Gartner® Market Guide for DataOps Tools. What gives?” December 08, 2022, 08:00 ET | Source: DataKitchen.

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DataKitchen

SEPTEMBER 21, 2023

What is Data in Place? Running these automated tests as part of your DataOps and Data Observability strategy allows for early detection of discrepancies or errors. What is Data in Use? One of the primary sources of tension? There are multiple locations where problems can happen in a data and analytic system.

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DataKitchen

JUNE 24, 2021

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. DataOps is a Key Enabler of Business Agility. DataOps can mean different things to different organizations. DataOps is a complementary process.

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DataKitchen

DECEMBER 1, 2022

Well, don’t worry because DataOps is here to help! In this post, we’ll discuss how DataOps Observability and Automation can relieve team stress and show you how to get started. All of those things can be enabled by DataOps. With DataOps, data teams can ship data analytics systems faster and more confidently.

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DataKitchen

OCTOBER 5, 2022

This is the first post in DataKitchen’s four-part series on DataOps Observability. DataOps Industry Challenges. DataOps Observability can help you ensure that your complex data pipelines and processes are accurate and that they deliver as designed. Part 1: Defining the Problems. Errors Happen; Do You React or Prevent?

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DataKitchen

AUGUST 19, 2021

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. Figure 3: Example DataOps architecture based on the DataKitchen Platform. The data scientists and analysts have what they need to build analytics for the user.

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DataKitchen

AUGUST 5, 2021

Last we’ll explore how DataOps can be paired with data mesh to mitigate these challenges. Customers are on a journey to get insight, and they may not know exactly what they want until they see it. If you still have difficulty understanding the concept of the data mesh design pattern, please see our recent post “ What is a Data Mesh? ”.

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DataKitchen

NOVEMBER 28, 2022

This is the final post in DataKitchen’s four-part series on DataOps Observability. DataOps Observability Benefits Summary. Jason formed a small team and implemented DataKitchen DataOps Observability. DataOps Observability provides critical features and benefits. Part 4: Reviewing the Benefits.

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DataKitchen

JANUARY 23, 2023

What is data lineage? What about DataOps Observability? A five-on-five comparison of data lineage vs. DataOps Observability Five on data lineage: Data lineage traces data’s origin, history, and movement through various processing, storage, and analysis stages. What is missing in data lineage?

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DataKitchen

MAY 10, 2021

If you have been in the data profession for any length of time, you probably know what it means to face a mob of stakeholders who are angry about inaccurate or late analytics. Data Observability Component of DataOps. DataKitchen has developed a methodology implemented around our DataOps Platform to reduce data errors to virtually zero.

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DataKitchen

OCTOBER 25, 2022

This is the second post in DataKitchen’s four-part series on DataOps Observability. DataOps Observability to the Rescue. Jason knows he needs to implement changes, but what and where? The more he reads about DataOps, the more he knows his company needs to make the transition. Part 2: Introducing Data Journeys.

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DataKitchen

MAY 10, 2021

After establishing a solid strategy, the second phase involves planning key processes and practices to support the strategy, including “the emerging and increasingly important DataOps and ModelOps processes and methodologies.”. Blog: What is DataOps ? White Paper: DataOps is Not Just DevOps for Data .

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