Data Modelling Definition Demo 
Sisense
APRIL 10, 2020
Data exploration in R and Python. Data exploration is the initial step in data analysis, yielding visualizations like charts or plots that show human users patterns and trends. For our NLP demo, let’s take a dataset of commonly used words from Kaggle and do some data exploration on it in both data science languages.
Insight Software
JANUARY 15, 2021
There are definite steps you can take to increase customer value, win loyalty, and improve your chances of retaining those customers for the long haul. The required investment to develop reports on Power BI and Azure Data Lakes is considerable, and there are substantial liabilities to consider before making a costly long-term commitment.
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Astera
NOVEMBER 13, 2023
They facilitate testing different scenarios such as data creation, retrieval, update, and deletion. API Documentation: Postman can automatically generate API documentation based on OpenAPI definitions, which can be shared with developers and stakeholders for a better understanding. Apiary Apiary.io
Astera
JULY 8, 2024
These tools typically offer features for: Designing and building APIs: Define API endpoints, data models, request/response structures, and authentication mechanisms. The platform can import API definitions written in popular formats like Swagger and RAML. Request a Demo It supports automation for API testing workflows.
Astera
NOVEMBER 14, 2023
If you have had a discussion with a data engineer or architect on building an agile data warehouse design or maintaining a data warehouse architecture, you’d probably hear them say that it is a continuous process and doesn’t really have a definite end. And that, in essence, is pretty much the truth.
Astera
APRIL 24, 2024
Data Architecture The role of data architecture is to provide a structured framework for designing, organizing, and managing data assets. Data architecture ensures data is stored, accessed, and used consistently by defining data models, schemas, and storage mechanisms. Request a Demo
Astera
MARCH 28, 2024
Additionally, data catalogs include features such as data lineage tracking and governance capabilities to ensure data quality and compliance. On the other hand, a data dictionary typically provides technical metadata and is commonly used as a reference for data modeling and database design.
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