Remove 2015 Remove Big Data Remove Data Analytics Remove Data Processing
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Run Spark SQL on Amazon Athena Spark

AWS Big Data

Analytics Architect on Amazon Athena. He joined AWS in 2015 and has been focusing in the big data analytics space since then, helping customers build scalable and robust solutions using AWS analytics services. To learn more about Athena Spark, refer to Amazon Athena for Apache Spark.

Data Lake 106
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A Guide To Starting A Career In Business Intelligence & The BI Skills You Need

datapine

On the flip side, if you enjoy diving deep into the technical side of things, with the right mix of skills for business intelligence you can work a host of incredibly interesting problems that will keep you in flow for hours on end. The Bureau of Labor Statistics also states that in 2015, the annual median salary for BI analysts was $81,320.

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Build a serverless analytics application with Amazon Redshift and Amazon API Gateway

AWS Big Data

The protocol is not designed for handling large analytical query data and in API Gateway, each frame’s payload can only hold up to 32 KB. Therefore, the REST API performs large data retrieval. By using the Data API and API Gateway, you can build decoupled event-driven web applications for your data analytical needs.

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How The Cloud Made ‘Data-Driven Culture’ Possible | Part 1

BizAcuity

2007: Amazon launches SimpleDB, a non-relational (NoSQL) database that allows businesses to cheaply process vast amounts of data with minimal effort. The platform is built on S3 and EC2 using a hosted Hadoop framework. An efficient big data management and storage solution that AWS quickly took advantage of.