Cloudera

DECEMBER 15, 2022

With CDP, customers can deploy storage, compute, and access, all with the freedom offered by the cloud, avoiding vendor lock-in and taking advantage of best-of-breed solutions. Only metadata will be regenerated. Only metadata will be regenerated. Amazingly fast table migration. Data quality using table rollback.

Cloud 78

Cloud Metadata Google Cloud Data Warehouse 78

Cloudera

DECEMBER 9, 2022

Recently, we announced the general availability of DataFlow Functions , allowing NiFi flows to be executed in serverless compute environments, such as AWS Lambda, Azure Functions, or Google Cloud Functions. . Figure 3: Easily upload files directly through the designer without requiring SSH access to servers.

Designing 98

Designing Coding AWS Google Cloud 98

Monte Carlo

JUNE 14, 2023

This frequently involves, in some order, extraction (from a source system), transformation (where data is combined with other data and put into the desired format), and loading (into storage where it can be accessed). This is commonly abbreviated and referred to as an ETL or ELT pipeline. Remember, these aren’t a binary choice.

Data Pipeline 52

Data Pipeline Architecture Data Lake Data Warehouse 52

AltexSoft

NOVEMBER 7, 2022

Metadata database. A metadata database stores information about user permissions, past and current DAG and task runs, DAG configurations, and more. By default, Airflow handles metadata with SQLite which is meant for development only. Full REST API: easy access for third parties. Since the 2.0 Content for the latest, 2.4.2,

PostgreSQL 52

PostgreSQL Metadata Python MySQL 52

Databand.ai

DECEMBER 29, 2022

In his current role as Senior Director of Product Management at Google, he focuses on BigQuery, Cloud Dataflow, Cloud DataProc, Cloud DataPrep, Cloud PubSub, and Cloud Composer. She also posts frequently on LinkedIn about data analytics, data strategy, data governance, and data engineering.

BI 52

BI Consulting Data Science Data Governance 52

Monte Carlo

MAY 17, 2023

With these bottlenecks and a lack of accessibility to—and therefore trust in—the data, many data consumers found workarounds by simply querying the source data directly. Generating and providing access to data is how they drive revenue, and for these organizations, higher quality data means a higher quality product.

Data 52

Data Data Pipeline Data Engineering Data Engineer 52

Monte Carlo

MAY 17, 2023

With these bottlenecks and a lack of accessibility to—and therefore trust in—the data, many data consumers found workarounds by simply querying the source data directly. Generating and providing access to data is how they drive revenue, and for these organizations, higher quality data means a higher quality product.

Data Pipeline 52

Data Pipeline Data Data Engineering Data Engineer 52