DataKitchen

NOVEMBER 4, 2021

Data organizations often have a mix of centralized and decentralized activity. DataOps concerns itself with the complex flow of data across teams, data centers and organizational boundaries. It expands beyond tools and data architecture and views the data organization from the perspective of its processes and workflows.

Process 98

Process Data Process Pharmaceutical Data Lake 98

Monte Carlo

AUGUST 17, 2021

Data informs every business decision, from customer support to feature development, and most recently, how to support pricing plans for organizations most affected during COVID-19. When migrating to Snowflake, PagerDuty wanted to understand the health of their data pipelines through fully automated data observability.

Insurance 40

Insurance Retail Data Pipeline Portfolio 40

DataKitchen

JANUARY 3, 2022

They need high-quality data in an answer-ready format to address many scenarios with minimal keyboarding. What they are getting from IT and other data sources is, in reality, poor-quality data in a format that requires manual customization.

Business Analyst 98

Business Analyst Data Lake Consulting Data Analytics 98

ProjectPro

FEBRUARY 21, 2023

Azure Data Engineer Associate DP-203 Certification Candidates for this exam must possess a thorough understanding of SQL, Python, and Scala, among other data processing languages. Must be familiar with data architecture, data warehousing, parallel processing concepts, etc.

Certification 52

Certification Data Engineering Data Engineer Engineering 52

Airbnb Tech

NOVEMBER 24, 2020

For a data quality guarantee to be relevant for many of the most important data use cases, we needed to guarantee quality for both data tables and the individual metrics derived from them. In Airbnb’s offline data architecture, there is a single source of truth for each metric definition shared across the company.

Data Warehouse 52

Data Warehouse Certification Data Pipeline Data 52

Knowledge Hut

MARCH 5, 2024

On the other hand, a data engineer working in a hospital system might design a data architecture that manages and integrates electronic medical records. Healthcare is regulated, so your data infrastructure must meet extensive compliance and audit requirements.

Data Engineering 52

Data Engineering Data Engineer Engineering Education 52

Monte Carlo

JANUARY 31, 2023

Partnering with Monte Carlo enabled the data team to gain greater visibility over the entire data platform and streamline incident management and resolution by leveraging Monte Carlo’s central UI. Monte Carlo helped the Checkout.com data team combat those challenges. And I hope that this trend will continue moving forward.”

Data 52

Data High Quality Data Data Engineering Data Engineer 52

Monte Carlo

MARCH 28, 2024

For the past few decades, most companies have kept data in an organizational silo. Analytics teams served business units, and even as data became more crucial to decision-making and product roadmaps, the teams in charge of data pipelines were treated more like plumbers and less like partners.

Data 52

Data High Quality Data Machine Learning Accessible 52

Databand.ai

JANUARY 24, 2023

In turn, this demand puts pressure on real-time access to data and increased automation, which then increases the need for AI. Supporting all of this requires a modern infrastructure and data architecture with appropriate governance. DataOps helps ensure organizations make decisions based on sound data. Enter DataOps.

Retail 52

Retail Banking Government Manufacturing 52

Monte Carlo

MAY 17, 2023

Data Warehouse (Or Lakehouse) Migration 34. Integrate Data Stacks Post Merger 35. Know When To Fix Vs. Refactor Data Pipelines Improve DataOps Processes 37. Analyze Data Incident Impact and Triage 39. Transition To A Data Mesh (Or Other Data Team Structure) 40. Prioritize Data Assets And Efforts 41.

Data 52

Data Data Pipeline Data Engineering Data Engineer 52

Monte Carlo

MAY 17, 2023

Data warehouse (or Lakehouse) migration 34. Integrate Data Stacks Post Merger 35. Know When To Fix Vs. Refactor Data Pipelines Improve DataOps Processes 37. Analyze Data Incident Impact and Triage 39. Transition To A Data Mesh (Or Other Data Team Structure) 40. Prioritize Data Assets And Efforts 41.

Data Pipeline 52

Data Pipeline Data Data Engineering Data Engineer 52