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What is ELT (Extract, Load, Transform)? A Beginner’s Guide [SQ]

Databand.ai

ELT offers a solution to this challenge by allowing companies to extract data from various sources, load it into a central location, and then transform it for analysis. The ELT process relies heavily on the power and scalability of modern data storage systems. The data is loaded as-is, without any transformation.

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Top 10 MongoDB Career Options in 2024 [Job Opportunities]

Knowledge Hut

In this blog, I will discuss all sorts of MongoDB careers , different job roles, key responsibilities, salaries, and top companies where you can apply for these positions easily. Role Importance Crucial for building robust and scalable applications that leverage MongoDB for data storage and retrieval. Let’s get started.

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Data Warehouse vs Big Data

Knowledge Hut

Two popular approaches that have emerged in recent years are data warehouse and big data. While both deal with large datasets, but when it comes to data warehouse vs big data, they have different focuses and offer distinct advantages.

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Large-scale User Sequences at Pinterest

Pinterest Engineering

Traditionally, product engineers need to be exposed to the infra complexity, including data schema, resource provisions, and storage allocations, which involves multiple teams. Different than our previous real-time user signal infra, this platform has been much more scalable and maximizes storage reusability.

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AWS Glue-Unleashing the Power of Serverless ETL Effortlessly

ProjectPro

Do ETL and data integration activities seem complex to you? Read this blog to understand everything about AWS Glue that makes it one of the most popular data integration solutions in the industry. Did you know the global big data market will likely reach $268.4 Businesses are leveraging big data now more than ever.

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Implementing the Netflix Media Database

Netflix Tech

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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3 Use Cases for Real-Time Blockchain Analytics

Rockset

This blog discusses some emerging use cases for real-time blockchain analytics and some key considerations for developers building dApps. Embedded content: [link] NFT and Crypto Price Analysis Although blockchain data is open for anyone to see, it can be difficult to make that on-chain data consumable for analysis.