Monte Carlo

OCTOBER 23, 2024

Since Zhamak Deghani introduced the concept of the data mesh in 2019, this decentralized approach to data architecture has generated an enormous amount of buzz. But what does it actually look like to implement a data mesh at scale? The data team at Roche has the answer.

Manufacturing 52

Manufacturing Pharmaceutical Data Architect Data 52

Knowledge Hut

NOVEMBER 29, 2023

However, the Transition exam was shut down after 30th June, 2019. There was also an Azure Administrator Certification Transition Exam for people who have passed the 70-533 - Implementing Azure Infrastructure Solutions Exam, but this Transition exam too was retired on June 30, 2019.  Proficient in Agile practices.

Certification 52

Certification Big Data Machine Learning Data Lake 52

DataKitchen

APRIL 13, 2021

Airflow — An open-source platform to programmatically author, schedule, and monitor data pipelines. DBT (Data Build Tool) — A command-line tool that enables data analysts and engineers to transform data in their warehouse more effectively. Genie — Distributed big data orchestration service by Netflix.

Consulting 121

Consulting Machine Learning Data Science Data Pipeline 121

Netflix Tech

DECEMBER 11, 2020

We had our first Studio applications consuming the federated graph, without any performance degradation, by the end of the 2019. This required building robust core infrastructure, ensuring a great developer experience, and solving for key cross-cutting concerns. In Studio Edge, every DGS team needs to build expertise in GraphQL.

IT 101

IT Architecture Java Designing 101

Airbnb Tech

NOVEMBER 3, 2020

Governance In addition to needing to lay out an overarching strategy for data architecture, Airbnb also needed a centralized governance process to enable teams to adhere to the strategy and standards. Data Architect Working Group  — Composed of senior data engineers from across the company.

Data Warehouse 52

Data Warehouse Scala Datasets Data Engineering 52

Airbnb Tech

NOVEMBER 24, 2020

As the scale of our data assets and the size of the teams developing and maintaining them grew, it became a challenge to enforce a consistent set of standards for data quality and reliability across the company. The Midas Promise To build data to meet consistent quality standards, we created a certification process.

Data Warehouse 52

Data Warehouse Certification Data Pipeline Data 52

ProjectPro

JULY 3, 2017

It is difficult to catch new attacks but by building models that can identify usual behavior , it becomes easy to catch anomalies. You can more about Doug Cutting’s interview on big data tech evolution on ComputerWeekly.com. Volvo unveiled its plan to install Android OS in new cars beginning in 2019.

Hadoop 52

Hadoop Food MongoDB Retail 52