DataKitchen

NOVEMBER 4, 2021

The DataKitchen Platform is a “ process hub” that masters and optimizes those processes. In our many conversations about data analytics, data engineers, analysts and scientists have verbalized the difficulty of creating analytics in the modern enterprise. Figure 1: The DataKitchen DataOps Platform serves as a process hub.

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DataKitchen

NOVEMBER 28, 2022

This is the final post in DataKitchen’s four-part series on DataOps Observability. DataKitchen has released a version of its Observability product, which implements the concepts described in this series. DataKitchen has released a version of its Observability product, which implements the concepts described in this series.

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DataKitchen

AUGUST 9, 2021

We’ve talked about data mesh in organizational terms (see our first post, “ What is a Data Mesh? ”) and how team structure supports agility. Unlike generic orchestration tools, DataKitchen Platform orchestration connects to the existing ecosystem of data analytics, data science and data engineering tools. DataOps Composability.

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DataKitchen

DECEMBER 7, 2023

It's about personalization for your customers. The post ON DEMAND WEBINAR: Beyond Data Observability first appeared on DataKitchen. The uncertainty of not knowing where data issues will crop up next and the tiresome game of 'who's to blame' when pinpointing the failure. It's more than just a 'last mile' problem in data observability.

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DataKitchen

JANUARY 19, 2022

The DataKitchen DataOps Platform provides a way to extend Matillion’s powerful cloud-native data integrations with DataOps capabilities that span the heterogeneous tools environments characteristic of large enterprises. DataKitchen acts as a process hub that unifies tools and pipelines across teams, tools and data centers.

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DataKitchen

MAY 4, 2023

All the cool kids are talking about Data Products and Data Mesh. The post ON-DEMAND WEBINAR: Data Products and Data Mesh first appeared on DataKitchen. The data companies have gotten ahold of terms and started to say their twenty-year-old ETL tools are the perfect tools to do that fashionable product-meshy stuff. What is going on?

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DataKitchen

AUGUST 27, 2021

DataOps is fundamentally about eliminating errors, reducing cycle time, building trust and increasing agility. Using the DataKitchen DataOps Platform , the Otezla data analytics team designed an extraordinarily agile analytics function with a relatively small team. Figure 4: DataOps architecture based on the DataKitchen Platform.

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DataKitchen

SEPTEMBER 21, 2023

’ It’s not just about playing detective to discover where things went wrong; it’s about proactively monitoring your entire data journey to ensure everything goes right with your data. DataKitchen’s suite of products offers a robust implementation of these Five Pillars of Data Journeys. Contact Us Today!

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DataKitchen

DECEMBER 7, 2021

Also check out this great conversation between DataKitchen Founder Chris Bergh and Randy Bean for the highlights. If you can’t wait, check out this DataKitchen white paper, Build a Data Mesh Factory with DataOps. If your data nerd is all about bucking the status quo, Disrupting Data Governance is the book for them. ???.

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DataKitchen

JUNE 16, 2021

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. The new book complements other DataOps Transformation Products and Services offered by DataKitchen. About DataKitchen. Cambridge, Mass.

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DataKitchen

JANUARY 6, 2021

In teams with mature DataOps practices, including some long-time DataKitchen customers, data professionals have indeed flipped the ratio and spend much less time on nonvalue-added activities. About the Author. James is a regular user of the DataKitchen. The post The Business Case for DataOps first appeared on DataKitchen.

Cost-Benefit 246

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DataKitchen

OCTOBER 5, 2022

This is the first post in DataKitchen’s four-part series on DataOps Observability. DataKitchen has released the first version of its Observability product, which implements the concepts described in this series. A survey of data engineers conducted by DataKitchen in 2022 revealed some shocking statistics.

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DataKitchen

JUNE 30, 2021

MLOps.community leader Demetrios Brinkmann chats with DataKitchen CEO Chris Bergh about the benefits of Data Science teams doing MLOps to pull the pain forward. The post Operationalizing Machine Learning at Scale with MLOps first appeared on DataKitchen.

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DataKitchen

JUNE 30, 2021

Joe Reis, host of the Data Nerd Herd podcast & Ternary Data CEO & Co-Founder, interviews DataKitchen CEO Chris Bergh about what DataOps is & why it matters. The post DataOps with Chris Bergh first appeared on DataKitchen.

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DataKitchen

JUNE 30, 2021

Samir Sharma, host of The Data Strategy Show podcast & CEO of datazuum, chats with DataKitchen CEO Chris Bergh about how DataOps stitches together data teams. The post Why DataOps Matters in the Data Value Chain first appeared on DataKitchen.

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DataKitchen

JUNE 30, 2021

Data Transformers podcast hosts Peggy Tsai & Ramesh Dontha chat with DataKitchen CEO Chris Bergh about how DataOps should be 10% of every data team member's job. The post DataOps Should Be Part of Everyone on the Data Team first appeared on DataKitchen.

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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. DataKitchen has developed a methodology implemented around our DataOps Platform to reduce data errors to virtually zero. It’s not about data quality .

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DataKitchen

DECEMBER 6, 2022

The two things we are most excited about are: First, DataOps is distinct from all Data Analytic tools. Second, the components of the DataOps software solution match very well with how we have thought about the market and match the features of our products. If so, what are the key components? How is DevOps different than DataOps ?

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DataKitchen

APRIL 1, 2021

Deep in Data host Robert Lacok interviews DataKitchen CEO Chris Bergh about what companies get wrong when building a data culture, DataOps success stories, and building a data product. The post How to Develop & Deliver Better Analytics first appeared on DataKitchen.

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DataKitchen

APRIL 1, 2021

Customer Insights Leader podcast host Paul Laughlin interviews DataKitchen CEO Chris Bergh about his career & passion for DataOps, how DataOps teams can measure success, & skills analysts should develop to succeed with DataOps. The post A Career & Passion for DataOps first appeared on DataKitchen.

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DataKitchen

FEBRUARY 27, 2024

For organizations looking to explore innovative solutions and best practices in data management for LLMs, DataKitchen offers a suite of products designed to empower data operations with enhanced data quality, observability, and operational efficiency.

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DataKitchen

NOVEMBER 20, 2021

Success is all about process reliability and consistency. A previous post talked about the definition of “done.” When people become concerned about defending their turf, it leads to less transparency, less reusable logic, and loss of control over source code. We’re looking to create a repeatable process. Process Hub.

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DataKitchen

JULY 27, 2023

In other words, it’s not about finding the best tool but the right tool (or tools) for the job. The space agency created and still uses “mission control” with many screens sharing detailed data about all aspects of a space flight. DataKitchen DataOps Observability has your back.

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DataKitchen

DECEMBER 13, 2021

Before we shut the door on 2021, we would like to share our most popular DataOps content in hopes that it can help you as you learn about and implement DataOps. Without further ado, here are DataKitchen’s top ten blog posts, top five white papers, and top five webinars from 2021. Connecting Your Data Mesh With DataOps.

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DataKitchen

AUGUST 19, 2021

DataKitchen has extensive experience using the data mesh design pattern with pharmaceutical company data. . They each tell a different story about the data. Figure 3: Example DataOps architecture based on the DataKitchen Platform. A domain query provides information about builds, data, artifacts, and test results.

Data Warehouse 246

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DataKitchen

NOVEMBER 18, 2022

This is the third post in DataKitchen’s four-part series on DataOps Observability. DataKitchen has released a version of its Observability product, which implements the concepts described in this series. It’s not just about what happens during the operation; it’s also about what happens after the operation.

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DataKitchen

NOVEMBER 10, 2023

Develop an automated notification system to alert responsible parties about the detected anomalies. Adopting Automated Data Quality Tests: Utilizing DataKitchen DataOps TestGen , data teams can introduce automated quality checks within their ETL/ELT processes. Monitor freshness, schema changes, volume, and column health are standard.

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DataKitchen

OCTOBER 5, 2022

This is the first post in DataKitchen’s four-part series on DataOps Observability. DataKitchen has released the first version of its Observability product, which implements the concepts described in this series. A survey of data engineers conducted by DataKitchen in 2022 revealed some shocking statistics.

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DataKitchen

FEBRUARY 22, 2024

Remember, in the fast-changing world of data and analytics, it’s not about the mistakes made but about how creatively and convincingly you can attribute those mistakes to someone else. The post The Art of Data Buck-Passing 101: Mastering the Blame Game in Data and Analytic Teams first appeared on DataKitchen.

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DataKitchen

JULY 22, 2021

Learn about four data architectures patterns for agility - DataOps, Data Fabric, Data Mesh & Functional Data Engineering - & an example combining all four. The post DataOps: The Foundation for Your Agile Data Architecture first appeared on DataKitchen.

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DataKitchen

JUNE 14, 2021

Learn about DataOps from data leaders Jim Tyo, Invesco CDO; Kurt Zimmer, AstraZeneca Head of Engineering for Data Enablement & Ryan Chapin, former GE exec. The post Using DataOps to Drive Agility & Business Value first appeared on DataKitchen.

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DataKitchen

JULY 22, 2021

Chris Bergh chats with author Randy Bean about his book, Fail Fast, Learn Faster: Lessons in Data-Driven Leadership in an Age of Disruption, Big Data & AI. The post A Chat with Randy Bean on His Book, Fail Fast, Learn Faster first appeared on DataKitchen.

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DataKitchen

DECEMBER 1, 2022

At DataKitchen, we’re trying to give people the tools and best practices to help them succeed with data and keep their job enjoyable and rewarding. We’re excited about the potential of DataOps and look forward to seeing what it can do for organizations worldwide. first appeared on DataKitchen.

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DataKitchen

MARCH 5, 2024

Why Not Hearing About Data Errors Should Worry Your Data Team In the chaotic lives of data & analytics teams, a day without hearing of any data-related errors is a blessing. But here’s the catch: just because you’re not hearing about errors doesn’t mean they don’t exist.

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DataKitchen

APRIL 28, 2021

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. The point is that analytics agility is more about removing obstacles and process bottlenecks than optimized tool performance.

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DataKitchen

SEPTEMBER 30, 2021

The post Everything You Need to Know About DataOps Solutions first appeared on DataKitchen.

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DataKitchen

OCTOBER 11, 2021

The environment shown in my example is from the DataKitchen UI, which makes it simple to define tests even if you have no familiarity with the underlying tools executing the pipeline. Figure 7 shows how the DataKitchen DataOps Platform helps to keep track of all the instances of a job being submitted and its metadata. About the Author.

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