Data Modelling Document E-Commerce 
Sisense
MARCH 7, 2021
Since those early days, Measuremen has broadened its data sources. The app not only documents utilization data, but allows users to add subjective inputs such as personal preferences. Air Canada: Taking data to new heights. The value of large, varied data sources is becoming obvious in air travel, too.
Marutitech
MARCH 10, 2022
To make your job easier, create a document that specifies your project’s inputs and deliverables, and then double-check your resource and format criteria related to the description of your predictive analytics project. Overfitting your data refers to creating a complicated data model that fits your limited set of data.
This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.
Astera
MAY 26, 2023
It stores data in dynamic JSON-like documents and supports easy query, manipulation, and storage of data. Its key features include: Automatic sharding: MongoDB’s automatic shading feature allows for horizontal scaling of data across multiple servers.
Astera
JUNE 1, 2023
A NoSQL database is a non-relational database that stores data in a format other than rows and columns. NoSQL databases come in a variety of types based on their data model. The main types are: Key-value stores: Data is stored in an unstructured format with a unique key to retrieve values. Examples are Redis and DynamoDB.
Astera
JUNE 1, 2023
A NoSQL database is a non-relational database that stores data in a format other than rows and columns. NoSQL databases come in a variety of types based on their data model. The main types are: Key-value stores: Data is stored in an unstructured format with a unique key to retrieve values. Examples are Redis and DynamoDB.
Astera
MAY 13, 2024
Data complexity, granularity, and volume are crucial when selecting a data aggregation technique. Documenting All Processes and Underlying Assumptions When aggregating data, document all processes and assumptions you use to obtain the aggregated results.
Astera
APRIL 24, 2024
It helps establish policies, assign roles and responsibilities, and maintain data quality and security in compliance with relevant regulatory standards. The framework, therefore, provides detailed documentation about the organization’s data architecture, which is necessary to govern its data assets.
Expert insights. Personalized for you.
98 
Let's personalize your content