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The Future of Database Management in 2023

Knowledge Hut

NoSQL Databases NoSQL databases are non-relational databases (that do not store data in rows or columns) more effective than conventional relational databases (databases that store information in a tabular format) in handling unstructured and semi-structured data. Examples include Amazon DynamoDB and Google Cloud Datastore.

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AWS vs GCP - Which One to Choose in 2023?

ProjectPro

So, are you ready to explore the differences between two cloud giants, AWS vs. google cloud? It developed and optimized everything from cloud storage, computing, IaaS, and PaaS. And that is one big reason it is the market leader and dominates other cloud technologies aggressively. Let’s get started!

AWS 52
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Google BigQuery: A Game-Changing Data Warehousing Solution

ProjectPro

Since its public release in 2011, BigQuery has been marketed as a unique analytics cloud data warehouse tool that requires no virtual machines or hardware resources. BigQuery is a highly scalable data warehouse platform with a built-in query engine offered by Google Cloud Platform. What is Google BigQuery Used for?

Bytes 52
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Ascending with MotherDuck

Ascend.io

Ascend’s platform is the first modern, cloud-based data pipeline automation tool capable of ingesting data from all major platforms and delivering it to MotherDuck (relational, NoSQL, event streams/queues, APIs and custom data sources). Next, build out connections to your sources and pipelines that deliver data to MotherDuck.

NoSQL 52
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Serverless Data Management: A SQL Search and Analytics Engine

Rockset

Function-as-a-Service frameworks, such as AWS Lambda, Azure Functions, and Google Cloud Functions, go quite far in realizing that vision for stateless applications, but the real challenge comes when applications need to deal with state.

SQL 52
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15+ Best Data Engineering Tools to Explore in 2023

Knowledge Hut

These tools include both open-source and commercial options, as well as offerings from major cloud providers like AWS, Azure, and Google Cloud. Database management: Data engineers should be proficient in storing and managing data and working with different databases, including relational and NoSQL databases.

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Jobprofil des Data Engineers

Data Science Blog: Data Engineering

Dazu gesellen sich Datenbanken wie der PostgreSQL, Maria DB oder Microsoft SQL Server sowie CosmosDB oder einfachere Cloud-Speicher wie der Microsoft Blobstorage, Amazon S3 oder Google Cloud Storage. Beispiele für verbreitete NoSQL-Datenbanken sind MongoDB, CouchDB, Cassandra oder Neo4J.