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Case Study: Is Your NoSQL Data Hindering Real-Time Analytics? Savvy Solved It with Rockset.

Rockset

. - Jeremy Evans, Co-founder and CTO, Savvy At Savvy , we have a lot of responsibility when it comes to data. They rely on our cloud-native service to easily build no-code interactive experiences such as video quizzes, calculators and listicles for their websites without the need for developers. Learn more at rockset.com.

NoSQL 52
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Five Ways to Run Analytics on MongoDB – Their Pros and Cons

Rockset

Developers choose this database because of its flexible data model and its inherent scalability as a NoSQL database. Yet, analytics is now a vital part of modern data applications. The benefit of these tools is that they’re built specifically for data analytics. The downsides of data warehouses are data and query latency.

MongoDB 52
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ELT Explained: What You Need to Know

Ascend.io

The emergence of cloud data warehouses, offering scalable and cost-effective data storage and processing capabilities, initiated a pivotal shift in data management methodologies. Extract The initial stage of the ELT process is the extraction of data from various source systems. So, what exactly is ELT?

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Real-Time Analytics on DynamoDB - Using DynamoDB Streams with Lambda and ElastiCache

Rockset

Low data latency requirements rule out ETL-based solutions which increase your data latency above the real-time threshold and inevitably lead to “ETL hell”. DynamoDB is a fully managed NoSQL database provided by AWS that is optimized for point lookups and small range scans using a partition key.

NoSQL 40
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Most important Data Engineering Concepts and Tools for Data Scientists

DareData

For data scientists, these skills are extremely helpful when it comes to manage and build more optimized data transformation processes, helping models achieve better speed and relability when set in production. AWS Glue: A fully managed data orchestrator service offered by Amazon Web Services (AWS).

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Top Big Data Hadoop Projects for Practice with Source Code

ProjectPro

There are various kinds of hadoop projects that professionals can choose to work on which can be around data collection and aggregation, data processing, data transformation or visualization. How small file problems in streaming can be resolved using a NoSQL database. Extracting data from APIs using Python.

Hadoop 40
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14 Best Database Certifications in 2023 to Boost Your Career

Knowledge Hut

Over the past decade, the IT world transformed with a data revolution. The rise of big data and NoSQL changed the game. Systems evolved from simple to complex, and we had to split how we find data from where we store it. Skills acquired : Relational database concepts Retrieving data using the SQL SELECT statement.