DataKitchen

MAY 10, 2024

The Five Use Cases in Data Observability: Fast, Safe Development and Deployment (#4) Introduction The integrity and functionality of new code, tools, and configurations during the development and deployment stages are crucial. This blog post delves into the third critical use case for Data Observation and Data Quality Validation: development and Deployment.

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DataKitchen

MAY 10, 2024

The post The Five Use Cases in Data Observability: Ensuring Accuracy in Data Migration first appeared on DataKitchen.

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DataKitchen

MAY 7, 2024

DataKitchen Training And Certification Offerings For Individual contributors with a background in Data Analytics/Science/Engineering Overall Ideas and Principles of DataOps DataOps Cookbook (200 page book over 30,000 readers, free): DataOps Certificatio n (3 hours, online, free, signup online): DataOps Manifesto (over 30,000 signatures) One Day DataOps training (paid) Data Observability (the first step in DataOps) I deas and Principles of Data Observability Four-part Da

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DataKitchen

APRIL 18, 2024

Introducing DataKitchen’s Open Source Data Observability Software Today, we announce that we have open-sourced two complete, feature-rich products that solve the data observability problem: DataOps Observervability and DataOps TestGen. With these two products, you will know if your pipelines are running without error and on time and can finally trust your data.

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DataKitchen

APRIL 11, 2024

The hosted by Christopher Bergh with Gil Benghiat from DataKitchen covered a comprehensive range of topics centered around improving the performance and efficiency of data teams through Agile and DataOps methodologies. Gil Benghiat, co-founder of Data Kitchen, began by explaining the overarching goal of achieving data team excellence, which involves delivering business value quickly and with high quality.

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DataKitchen

MARCH 18, 2024

Today, Bristol Myers Squib (BMS) has fully acquired Karuna Therapeutics. We congratulate our customer on their fantastic success. Their product, KarXT, an antipsychotic, is revolutionary and is lined up for an FDA Prescription Drug User Fee Act (PDUFA) in September 2024 for the treatment of schizophrenia in adults. KarXT also has potential for the treatment of Alzheimer’s disease and Bipolar disorder.

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DataKitchen

MARCH 12, 2024

Key Success Metrics, Benefits, and Results for Data Observability Using DataKitchen Software Lowering Serious Production Errors Key Benefit Errors in production can come from many sources – poor data, problems in the production process, being late, or infrastructure problems. 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.

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DataKitchen

MARCH 5, 2024

ngx-toolkit, a new open-source project from DataKitchen At DataKitchen, we use Angular and strive for well-tested and maintainable code. We’ve created three libraries that have helped accelerate Angular development in our software projects. We are proud today to present to the open source community our monorepo with some of the libraries we have developed for Angular and Jest.

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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. Your team is on top of things, deliveries are on schedule (you think), and no major complaints are making their way to your desk. It’s tempting to adopt the “ What, me worry?

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DataKitchen

FEBRUARY 27, 2024

Your LLM Needs a Data Journey: A Comprehensive Guide for Data Engineers The rise of Large Language Models (LLMs) such as GPT-4 marks a transformative era in artificial intelligence, heralding new possibilities and challenges in equal measure. LLMs have the potential to revolutionize how we interact with data, automate processes, and extract insights.

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DataKitchen

FEBRUARY 23, 2024

DataKitchen Resource Guide To Data Journeys & Data Observability & DataOps Data (and Analytic) Observability & Data Journey – Ideas and Background Data Journey Manifesto and Why the Data Journey Manifesto? Five Pillars of Data Journeys Data Journey First DataOps “You Complete Me,” said Data Lineage to Data Journeys. Bridging the Gap: How ‘Data in Place’ and ‘Data in Use’ Define Complete Data Observability The Need For Personalized Data Journeys for Your Data Consumers Data Te

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DataKitchen

FEBRUARY 22, 2024

The Art of Data Buck-Passing 101: Mastering the Blame Game in Data and Analytic Teams Welcome, dear readers, to the hallowed halls of Data Buck-Passing University, where the motto is “ Per Alios Culpa Transfertur ” (Blame is Transferred to Others). In the world of data and analytics, one skill stands timeless and universal: the art of blaming someone else when things go sideways.

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DataKitchen

DECEMBER 7, 2023

Do you have data quality issues, a complex technical environment, and a lack of visibility into production systems? These challenges lead to poor quality analytics and frustrated end users. Getting your data reliable is a start, but many other problems arise even if your data could be better. And your customers don't care where the problem is in your toolchain.

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DataKitchen

NOVEMBER 10, 2023

The Perilous State of Today’s Data Environments Data teams often navigate a labyrinth of chaos within their databases. The core issue plaguing many organizations is the presence of out-of-control databases or data lakes characterized by: Unrestrained Data Changes: Numerous users and tools incessantly alter data, leading to a tumultuous environment. Extrinsic Control Deficit: Many of these changes stem from tools and processes beyond the immediate control of the data team.

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DataKitchen

NOVEMBER 6, 2023

This webinar discusses how to make embarrassing data errors a thing of the past. We will start with how data engineers do not understand their data and have difficulty identifying problematic data records. We will also discuss how the vast majority of data engineers are so busy that they don’t know, or have time to write, tests to write to find data errors.

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DataKitchen

OCTOBER 20, 2023

In today’s data-driven landscape, Data and Analytics Teams i ncreasingly face a unique set of challenges presented by Demanding Data Consumers who require a personalized level of Data Observability. As opposed to receiving one-size-fits-all status updates, these key stakeholders desire real-time, granular insights into the status of their specific data as it traverses the complicated data production pipeline.

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DataKitchen

OCTOBER 12, 2023

The meeting room was spacious, adorned with charts, graphs, and several cups of hastily grabbed coffee. I distinctly remember an afternoon set to work with a promising prospect. As my team and I waited, a flurry of messages informed us that the key players from the other side wouldn’t be joining. Why? Their entire data analytics team had been hastily yanked into an impromptu “war room” to tackle an emergency data issue.

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DataKitchen

OCTOBER 2, 2023

Data Teams and Their Types of Data Journeys In the rapidly evolving landscape of data management and analytics, data teams face various challenges ranging from data ingestion to end-to-end observability. This comprehensive article delves into the complexities encountered by various types of data teams—Data Ingestion Teams, End-to-End Data Product Teams, and Enterprise Data Enablement Teams—to name a few.

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DataKitchen

SEPTEMBER 21, 2023

Bridging the Gap: How ‘Data in Place’ and ‘Data in Use’ Define Complete Data Observability In a world where 97% of data engineers report burnout and crisis mode seems to be the default setting for data teams, a Zen-like calm feels like an unattainable dream. Complaints from dissatisfied customers and apathetic data providers only add to the mounting stress.

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DataKitchen

SEPTEMBER 20, 2023

This webinar discusses how to make embarrassing data errors a thing of the past. We will start with how data engineers do not understand their data and have difficulty identifying problematic data records. We will also discuss how the vast majority of data engineers are so busy that they don’t know, or have time to write, tests to write to find data errors.

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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. In many ways, they all have the same problems. They have built data and analytic systems with great hope of success. Still, they are burdened with too many errors, are overwhelmed with custom requests, and know they fail to succeed in their goal of leading their organizations to be more data-driven.

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DataKitchen

AUGUST 8, 2023

On 20 July 2023, Gartner released the article “ Innovation Insight: Data Observability Enables Proactive Data Quality ” by Melody Chien. In the article, Melody Chien notes that Data Observability is a practice that extends beyond traditional monitoring and detection, providing robust, integrated visibility over data and data landscapes. It alerts data and analytics leaders to issues with their data before they multiply.

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DataKitchen

JULY 27, 2023

The Ten Standard Tools To Develop Data Pipelines In Microsoft Azure. While working in Azure with our customers, we have noticed several standard Azure tools people use to develop data pipelines and ETL or ELT processes. We counted ten ‘standard’ ways to transform and set up batch data pipelines in Microsoft Azure. Is it overkill? Don’t they all do the same thing?

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DataKitchen

JULY 12, 2023

The Syntax, Semantics, and Pragmatics Gap in Data Quality Validate Testing Data Teams often have too many things on their ‘to-do’ list. Customers are asking for new data, people need questions answered, and the tech stack is barely running – data engineers don’t have time to create tests. They have a backlog full of new customer features or data requests, and they go to work every day knowing that they won’t and can’t meet customer expectations.

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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. This innovative approach merges the agility of Agile Development, the stability of DevOps, and the meticulousness of Statistical Process Controls, orchestrating a dynamic, enriched, and nimble data ecosystem that is truly remarkable.

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DataKitchen

JUNE 19, 2023

DataOps TestGen Technical Product Overview

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DataKitchen

JUNE 19, 2023

DataOps TestGen delivers simple, fast data quality test generation and execution. DataOps TestGen profiles your data and algorithmically generates dozens of data validations. Your Data Journey starts with verifying that you can trust your data and re-verifying it every time you refresh it in production.

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DataKitchen

JUNE 19, 2023

The need to balance data safety with new data initiatives, deliver business value, and change company culture around data tops this year's list of data and analytics management challenges. To help bring new resources and innovation to light, each year, Database Trends and Applications magazine presents the DBTA 100, a list of forward-thinking companies seeking to expand what's possible with data for their customers.

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DataKitchen

JUNE 19, 2023

Introducing The Five Pillars Of Data Journeys “There are those who discover they can leave behind destructive reactions and become patient as the earth, unmoved by fires of anger or fear, unshaken as a pillar, unperturbed as a clear and quiet pool.” – Gautama Buddha When your data team is in crisis from errors in production, complaining customers, and uncaring data providers, we all wish we could be unshaken as the Buddha.

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DataKitchen

JUNE 12, 2023

Why the Data Journey Manifesto? So why another manifesto in the world? Really? Why should I care? About seven years ago, we wrote the DataOps Manifesto. We wrote the first version because, after talking with hundreds of people at the 2016 Strata Hadoop World Conference, very few easily understood what we discussed at our booth and conference session.

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DataKitchen

MAY 31, 2023

This webinar discusses how to make embarrassing data errors a thing of the past. We will start with how data engineers do not understand their data and have difficulty identifying problematic data records. We will also discuss how the vast majority of data engineers are so busy that they don’t know, or have time to write, tests to write to find data errors.

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DataKitchen

MAY 31, 2023

Something is missing from our data systems. We cannot judge the expectations vs. reality in our production data systems. What is the variance between what is happening now and what should be happening? Is it on time? Late? Is it trustworthy? What is happening now? Will my customers find a problem? That missing piece that connects data system expectations and reality is a ‘Data Journey.

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DataKitchen

MAY 4, 2023

All the cool kids are talking about Data Products and Data Mesh. 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? The post ON-DEMAND WEBINAR: Data Products and Data Mesh first appeared on DataKitchen.

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DataKitchen

MAY 4, 2023

Webinar Summary: DataOps and Data Mesh Chris Bergh, CEO of DataKitchen, delivered a webinar on two themes – Data Products and Data Mesh. Bergh started by discussing the complexity within data and analytics teams, stating that complexity makes everything more complicated and, in the long run, it kills productivity. Examples of complexity within data and analytics teams include multiple teams with different roles, thousands of different data sets of different types and shapes, each with uniq

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DataKitchen

APRIL 11, 2023

Webinar Summary: Driving Data Analytic Team Excellence Through Agility, Efficiency, and Aphorisms In the webinar “Driving Data Analytic Team Excellence Through Agility, Efficiency, and Aphorisms,” James Royster, Vice President of Commercial Operations, Insights, and Analytics at Karuna Therapeutics, shared his insights on leading efficient and effective data analytics teams.

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DataKitchen

APRIL 7, 2023

James guides us through years of experience working in data, giving insight to many customers and leading highly efficient and effective teams. Driving Data Analytic Team Excellence Through Agility, Efficiency, and Aphorisms The post ON-DEMAND WEBINAR: Driving Data Analytic Team Excellence Through Agility, Efficiency, and Aphorisms first appeared on DataKitchen.

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DataKitchen

MARCH 16, 2023

Introduction. How to measure your data analytics team? So it’s Monday, and you lead a data analytics team of perhaps 30 people. You’ve got a new boss. And she is numbers driven – great! But wait, she asks you for your team metrics. Like most leaders of data analytic teams, you have been doing very little to quantify your team’s success.

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