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Five Ways to Run Analytics on MongoDB – Their Pros and Cons

Rockset

Options for joining data in MongoDB include denormalization or use of the $lookup operator , but both are less flexible and powerful than a relational join. 2 – Use a Data Virtualization Tool The next approach is to use a data virtualization tool. 3 – Use a Data Warehouse Next, you can replicate your data to a data warehouse.

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AWS Glue-Unleashing the Power of Serverless ETL Effortlessly

ProjectPro

Do ETL and data integration activities seem complex to you? AWS Glue is here to put an end to all your worries! 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

AWS 98
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14 Best Database Certifications in 2023 to Boost Your Career

Knowledge Hut

Monitor and optimize operational resources in Azure SQL Optimize query performance in Azure SQL Automate database tasks for Azure SQL Plan and implement a high availability and disaster recovery environment. Passing the exam means one has gained a significant knowledge of SQL and its use while working on Oracle Database servers.

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Data Warehousing Guide: Fundamentals & Key Concepts

Monte Carlo

On the surface, the promise of scaling storage and processing is readily available for databases hosted on AWS RDS, GCP cloud SQL and Azure to handle these new workloads. The distinction we’re making here are tools, such as PostgreSQL that can be used as transactional databases, versus BigQuery, a data warehouse.

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DynamoDB Filtering and Aggregation Queries Using SQL on Rockset

Rockset

Further, data is king, and users want to be able to slice and dice aggregated data as needed to find insights. Users don't want to wait for data engineers to provision new indexes or build new ETL chains. They want unfettered access to the freshest data available. DynamoDB is a NoSQL database provided by AWS.

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The Good and the Bad of the Elasticsearch Search and Analytics Engine

AltexSoft

Just as you have databases and tables in SQL, you have indices and documents in Elasticsearch. You would query against these indices when you are searching for specific data. You can stream logs, metrics, and other data from your apps, endpoints, and infrastructure, whether cloud-based, on-premises, or a mix of both.

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100+ Data Engineer Interview Questions and Answers for 2023

ProjectPro

Relational Database Management Systems (RDBMS) Non-relational Database Management Systems Relational Databases primarily work with structured data using SQL (Structured Query Language). SQL works on data arranged in a predefined schema. Non-relational databases support dynamic schema for unstructured data.