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

Programming 70

Programming Certification Pharmaceutical Data Analytics 70

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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Raw Data Data Business Intelligence High Quality Data 70

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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Pharmaceutical Raw Data Data Lake Data 98

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.

Data Engineering 52

Data Engineering Data Engineer Engineering Data Process 52

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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Pharmaceutical Pipeline-centric Data Lake Data Analytics 98

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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Data Governance Big Data Government Data Science 98

DataKitchen

DECEMBER 21, 2020

But before we shut the door on such a turbulent, transformative year, we at DataKitchen would like to share the creme de la creme of our DataOps content in hopes that it can help you as you learn about and implement DataOps. The post DataKitchen's Best of 2020 DataOps Resources first appeared on DataKitchen.

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IT 84

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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Data Systems IT 52

Data Engineering Podcast

APRIL 27, 2020

With so many different opinions about which pieces of information are most important, how it needs to be accessed, and what to do with it, many data projects are doomed to failure. If DataOps sounds like the perfect antidote to your pipeline woes, DataKitchen is here to help. Don’t forget to check out our other show, Podcast.__init__

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Hadoop Data Workflow Data Engineering Data Engineer 100

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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Data Pipeline Datasets Engineering Data Engineering 70

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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Data Engineering Data Engineer Engineering Unstructured Data 48

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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Manufacturing Data Pipeline Data Data Analytics 85

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.

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Pharmaceutical Consulting Utilities Programming 98

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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Data Data Governance Government Cloud 76

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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Data Pipeline Business Intelligence Data Integration Data Warehouse 52

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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Engineering Machine Learning Data Engineering Data Engineer 98

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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Data Pipeline BI Machine Learning Data Preparation 52

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.

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Pharmaceutical Data Lake Data Warehouse Raw Data 98

Data Engineering Podcast

JULY 29, 2018

Summary With the attention being paid to the systems that power large volumes of high velocity data it is easy to forget about the value of data collection at human scales. DataKitchen’s DataOps software allows your team to quickly iterate and deploy pipelines of code, models, and data sets while improving quality.

Data Collection 100

Data Collection Kafka Data Warehouse Architecture 100

François Nguyen

JANUARY 29, 2021

The agile part of DataOps In this previous article, we have defined dataops as a”combination of tools and methods inspired by Agile, Devops and Lean Manufacturing » (thanks to DataKitchen for this definition). Resheduling is a competency, not a fatality Agile is about mastering your schedule. ” – Mary Poppendieck.

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Manufacturing Data Analysis Data Building 130

Christophe Blefari

JUNE 16, 2023

I'm now under the Berlin rain with 20° When I write in these conditions I feel like a tortured author writing a depressing novel while actually today I'll speak about the AI Act, Python, SQL and data platforms. The first advice is about the documentation readers: data team, business users or other stakeholders.

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Programming Language SQL PostgreSQL Data 130

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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Data Lake Hadoop Government Data Analytics 52

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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ETL Tools Data 52

Data Engineering Podcast

APRIL 8, 2018

Preamble Hello and welcome to the Data Engineering Podcast, the show about modern data management When you’re ready to build your next pipeline you’ll need somewhere to deploy it, so check out Linode. How does the DataKitchen platform simplify the process of operationalizing a data analytics workflow?

Manufacturing 100

Manufacturing Machine Learning Data Engineering Data Engineer 100

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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Data Solutions Data Lake Data Database 56

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.

Pharmaceutical 52

Pharmaceutical Data Analytics Programming Project 52

Data Engineering Podcast

JULY 1, 2018

Preamble Hello and welcome to the Data Engineering Podcast, the show about modern data management When you’re ready to build your next pipeline you’ll need somewhere to deploy it, so check out Linode. Want to try some of the innovative ideas in this podcast but don’t have time?

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Metadata Machine Learning Data Preparation Data Collection 100

Data Engineering Podcast

JUNE 24, 2018

Preamble Hello and welcome to the Data Engineering Podcast, the show about modern data management When you’re ready to build your next pipeline you’ll need somewhere to deploy it, so check out Linode. In this episode he explains how the project came to be, how it works, and the many ways that you can start using it today.

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Management PostgreSQL Scala Programming Language 100

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.

Datasets 52

Datasets Data Lake Data Pipeline Database 52

Data Engineering Podcast

AUGUST 5, 2018

Preamble Hello and welcome to the Data Engineering Podcast, the show about modern data management When you’re ready to build your next pipeline you’ll need somewhere to deploy it, so check out Linode. To cap it off he reviews some of the exciting features that the community is working on building into future releases.

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PostgreSQL MySQL Banking Database 100

Data Engineering Podcast

JULY 15, 2018

Preamble Hello and welcome to the Data Engineering Podcast, the show about modern data management When you’re ready to build your next pipeline you’ll need somewhere to deploy it, so check out Linode. He also explains where it fits in the current landscape of distributed storage and the plans for future improvements.

Hadoop 100

Hadoop Data Engineering Data Engineer Coding 100

Data Engineering Podcast

JULY 8, 2018

Preamble Hello and welcome to the Data Engineering Podcast, the show about modern data management When you’re ready to build your next pipeline you’ll need somewhere to deploy it, so check out Linode. Want to try some of the innovative ideas in this podcast but don’t have time? Can you start by explaining what NiFi is?

Building 100

Building Transportation Kafka Java 100

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.

Data Pipeline 52

Data Pipeline Datasets Engineering Data Engineering 52

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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Data Data Management Management Systems 60

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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Data Governance Data Architecture Government Data Engineering 98

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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Data Pipeline Data Data Analytics Architecture 98

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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Machine Learning Data Science Data 52