Cloudera

DECEMBER 21, 2023

In the “assumptions” field, we see how the SQL AI Assistant looked over our data model; compared to what we’re looking for, it was able to find the right tables, columns, and joins needed to provide a query that will give us the list we’re looking for. And as a bonus, we even get the query written for us, saving us even more time!

SQL 66

SQL Data Warehouse Business Analyst Data Schemas 66

Cloudera

FEBRUARY 9, 2021

Schema Management. Avro format messages are stored in Kafka for better performance and schema evolution. Cloudera Schema Registry is designed to store and manage data schemas across services. NiFi data flows can refer to the schemas in the Registry instead of hard coding. . > Minutes.

Data Warehouse 69

Data Warehouse Cloud Kafka Cloud Storage 69

ProjectPro

FEBRUARY 8, 2023

Do ETL and data integration activities seem complex to you? Read this blog to understand everything about AWS Glue that makes it one of the most popular data integration solutions in the industry. Did you know the global big data market will likely reach $268.4 Businesses are leveraging big data now more than ever.

AWS 98

AWS Scala Metadata Data Lake 98

Zalando Engineering

SEPTEMBER 8, 2021

With the ambitions of the Interface Framework as presented in the first blog post , we did not want to just stop at serving multiple HTML pieces, we wanted more: Implemented once, works anywhere - UI blocks should work in different contexts and be context-aware, not context-bound. That's how Renderers came to be. Renderers are declarative.

Engineering 52

Engineering Computer Science Data Schemas Coding 52

Monte Carlo

MARCH 2, 2023

According to our research , the average organization experiences 61 data anomalies a month and takes more than 9 hours to resolve each one. That’s 549 engineering hours each month. And that doesn’t factor in the damage data anomalies can wreck in the time between when they occur and when they are detected and resolved.

Food 52

Food Data SQL Data Pipeline 52

Netflix Tech

DECEMBER 14, 2018

In the previous blog posts in this series, we introduced the N etflix M edia D ata B ase ( NMDB ) and its salient “Media Document” data model. A fundamental requirement for any lasting data system is that it should scale along with the growth of the business applications it wishes to serve.

Media 94

Media Database Metadata Data Schemas 94

ProjectPro

NOVEMBER 22, 2021

According to the Businesswire report , the worldwide big data as a service market is estimated to grow at a CAGR of 36.9% This clearly indicates that the need for Big Data Engineers and Specialists would surge in the future years. from 2019 to 2026, reaching $61.42 billion by 2026. appName('ProjectPro').getOrCreate()

Hadoop 52

Hadoop Python Datasets Metadata 52