Data Lake Internet of Things Testing 
AWS Big Data
NOVEMBER 22, 2024
The need for streamlined data transformations As organizations increasingly adopt cloud-based data lakes and warehouses, the demand for efficient data transformation tools has grown. Using Athena and the dbt adapter, you can transform raw data in Amazon S3 into well-structured tables suitable for analytics.
AWS Big Data
OCTOBER 3, 2023
In our previous post Improve operational efficiencies of Apache Iceberg tables built on Amazon S3 data lakes , we discussed how you can implement solutions to improve operational efficiencies of your Amazon Simple Storage Service (Amazon S3) data lake that is using the Apache Iceberg open table format and running on the Amazon EMR big data platform.
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CIO Business Intelligence
SEPTEMBER 8, 2022
To access data in real time — and ensure that it provides actionable insights for all stakeholders — organizations should invest in the foundational components that enable more efficient, scalable, and secure data collection, processing, and analysis. As your data increases, expand your data-driven capabilities.
Sisense
JUNE 11, 2019
Three trends we want to cover regarding the evolution of Big Data are the continued growth of IoT , the expanded array of querying techniques , and the rise of the cloud. First off, IoT, the Internet of Things. The Internet has always, technically, been on “things”. are all things. What’s Next?
AWS Big Data
AUGUST 1, 2024
This will enable right-sizing the Redshift data warehouse to meet workload demands cost-effectively. Thorough testing and performance optimization will facilitate a smooth transition with minimal disruption to end-users, fostering exceptional user experiences and satisfaction.
AWS Big Data
MAY 30, 2023
Customers have been using data warehousing solutions to perform their traditional analytics tasks. Recently, data lakes have gained lot of traction to become the foundation for analytical solutions, because they come with benefits such as scalability, fault tolerance, and support for structured, semi-structured, and unstructured datasets.
erwin
DECEMBER 13, 2018
The ability for an organization to model, build and test automated business processes is a gamechanger. Managing data from going over the edge: Edge computing will continue to take hold. The internet of things (IoT) is all about new data sources (device data) that often have opaque data structures.
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