Cloudera

FEBRUARY 9, 2021

In terms of data analysis, as soon as the front-end visualization or BI tool starts accessing the data, the CDW Hive virtual warehouse will spin up cloud computing resources to combine the persisted historical data from the cloud storage with the latest incremental data from Kafka into a transparent real-time view for the users.

Data Warehouse 70

Data Warehouse Cloud Kafka Cloud Storage 70

Towards Data Science

NOVEMBER 4, 2023

What I like about it is that it makes it really easy to work with various data file formats, i.e. SQL, XML, XLS, CSV and JSON. Among other benefits, I like that it works well with semi-complex data schemas. Pandas is an absolute beast in the world of data and there is no need to cover it’s capabilities in this story.

Data Engineering 82

Data Engineering Data Engineer Engineering BI 82

Netflix Tech

DECEMBER 14, 2018

A schemaless system appears less imposing for application developers that are producing the data, as it (a) spares them from the burden of planning and future-proofing the structure of their data and, (b) enables them to evolve data formats with ease and to their liking. NMDB leverages a cloud storage service (e.g.,

Media 94

Media Database Metadata Data Schemas 94

Monte Carlo

FEBRUARY 6, 2023

Your database may be in the cloud, but the server that hosts it has a physical location. Cloud storage will provide the most opportunity, but your goals and budget constraints will help to determine what’s right for your business needs. Public, private, hybrid, or multi-cloud. Hosted, managed, or SaaS.

Data Warehouse 52

Data Warehouse AWS Data Validation Data 52