Knowledge Hut

NOVEMBER 3, 2023

Why Use MongoDB for Data Science? Using Mongodb for data science offers several compelling advantages: Flexible Data Storage: The schema-less approach in MongoDB works well with different types of data such as schemas, semi-schemaless (document-oriented) and completely schemaless (native JSON).

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MongoDB Data Science NoSQL ETL Tools 52

Knowledge Hut

MARCH 22, 2024

Versatility: The versatile nature of MongoDB enables it to easily deal with a broad spectrum of data types , structured and unstructured, and therefore, it is perfect for modern applications that need flexible data schemas. Experience with infrastructure-as-code tools (e.g., Cloud platform and service proficiency (e.g.,

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MongoDB Amazon Web Services Computer Science Education 52

Monte Carlo

JUNE 28, 2022

Monte Carlo can automatically monitor and alert for data schema, volume, freshness, and distribution anomalies within the data lake environment. Delta Lake The Delta Lake is an open source storage layer that sits on top of and imbues an existing data lake with additional features that make it more akin to a data warehouse.

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Data Lake Metadata AWS Data Warehouse 52

Rockset

OCTOBER 6, 2022

Consequently, we needed a data backend with the following characteristics: Scale With ~50 commits per working day (and thus at least 50 pull request updates per day) and each commit running over one million tests, you can imagine the storage/computation required to upload and process all our data.

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AWS Data Schemas Accessible Accessibility 52

Cloud Academy

JANUARY 27, 2022

For example, you can learn about how JSONs are integral to non-relational databases – especially data schemas, and how to write queries using JSON. Yes, data engineers are in demand, especially as companies realize that the hype of data science is built on the foundation of work from data engineers.

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Data Engineering Data Engineer Certification Engineering 52

ProjectPro

FEBRUARY 8, 2023

Application programming interfaces (APIs) are used to modify the retrieved data set for integration and to support users in keeping track of all the jobs. When Glue receives a trigger, it collects the data, transforms it using code that Glue generates automatically, and then loads it into Amazon S3 or Amazon Redshift.

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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. This is depicted in Figure 1.

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