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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. Let us see where MongoDB for Data Science can help you.
Databases Facilitates storage and retrieval of structureddata. Examples: SQL databases MongoDB Firebase Cloud Platforms and Infrastructure Supports deployment and scaling of applications. Examples: Calculators for arithmetic operations. Python code executors for custom computations. Search APIs for querying external knowledge.
Databases Facilitates storage and retrieval of structureddata. Examples: SQL databases MongoDB Firebase Cloud Platforms and Infrastructure Supports deployment and scaling of applications. Examples: Calculators for arithmetic operations. Python code executors for custom computations. Search APIs for querying external knowledge.
Google BigQuery receives the structureddata from workers. Finally, the data is passed to Google Data studio for visualization. The real-time data will be processed using Spark structured streaming API and analyzed using Spark MLib to get the sentiment of every tweet. Collection happens in the Kafka topic.
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