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. Writing efficient and scalable MongoDB queries. Integrating MongoDB with front-end and backend systems.
Towards Data Science
JANUARY 17, 2024
Parquet vs ORC vs Avro vs Delta Lake Photo by Viktor Talashuk on Unsplash The big data world is full of various storage systems, heavily influenced by different file formats. These are key in nearly all data pipelines, allowing for efficient data storage and easier querying and information extraction.
This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.
Knowledge Hut
NOVEMBER 3, 2023
The need for efficient and agile data management products is higher than ever before, given the ongoing landscape of data science changes. MongoDB is a NoSQL database that’s been making rounds in the data science community. Why Use MongoDB for Data Science? Quickly pull (fetch), filter, and reduce data.
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.
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. The path will help you understand common data formats you might encounter as a data engineer, starting with SQL.
Striim
NOVEMBER 8, 2023
Data consistency is ensured through uniform definitions and governance requirements across the organization, and a comprehensive communication layer allows other teams to discover the data they need. Marketing teams should have easy access to the analytical data they need for campaigns.
The Modern Data Company
MAY 8, 2023
Data lakes, data warehouses, data hubs, data lakehouses, and data operating systems are data management and storage solutions designed to meet different needs in data analytics, integration, and processing.
Expert insights. Personalized for you.
52 
Let's personalize your content