Remove Data Schemas Remove Datasets Remove Structured Data
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Data Warehouse vs Big Data

Knowledge Hut

In the modern data-driven landscape, organizations continuously explore avenues to derive meaningful insights from the immense volume of information available. Two popular approaches that have emerged in recent years are data warehouse and big data. Data warehousing offers several advantages.

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A Guide to Data Pipelines (And How to Design One From Scratch)

Striim

In an ETL-based architecture, data is first extracted from source systems, then transformed into a structured format, and finally loaded into data stores, typically data warehouses. This method is advantageous when dealing with structured data that requires pre-processing before storage.

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Bulldozer: Batch Data Moving from Data Warehouse to Online Key-Value Stores

Netflix Tech

As the paved path for moving data to key-value stores, Bulldozer provides a scalable and efficient no-code solution. Users only need to specify the data source and the destination cluster information in a YAML file. Bulldozer provides the functionality to auto-generate the data schema which is defined in a protobuf file.

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Introduction to MongoDB for Data Science

Knowledge Hut

MongoDB is used for data science, meaning that we utilize the capabilities of this NoSQL database system as part of our data analysis and data modeling processes, which fall under the realm of data science. There are several benefits to MongoDB for data science operations.

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3 Use Cases for Real-Time Blockchain Analytics

Rockset

On-chain data has to be tied back to relevant off-chain datasets, which can require complex JOIN operations which lead to increased data latency. Image Source There are several companies that enable users to analyze on-chain data, such as Dune Analytics, Nansen, Ocean Protocol, and others.

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Top Data Catalog Tools

Monte Carlo

Large volumes of data from various sources can be connected and processed, and AI and automated algorithms help automatically detect business rules, as well as assign data quality rules automatically. With Ataccama, AI detects related and duplicate datasets. Did we miss one? Tell us in the comments.

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100+ Big Data Interview Questions and Answers 2023

ProjectPro

Data Variety Hadoop stores structured, semi-structured and unstructured data. RDBMS stores structured data. Data storage Hadoop stores large data sets. RDBMS stores the average amount of data. MapReduce is a Hadoop framework used for processing large datasets.