Using AWS Batch to Analyze and Extract Information from Large Document Data Stores
The growth of data stores has grown significantly over the last decade, especially with the introduction of IoT managed devices, such as medical devices. From a business perspective, attempting to run reporting and analysis against an ever-growing data store presents issues with some technologies due to the processing time it takes to do transformation routines on increasing volumes of information. When dealing with large volumes of data, finding ways to easily apply transformations and enrichment to data objects can beRead more
Ways to Optimize Data Ingestion and Analysis with AWS Glue
The wealth of data and information that resides in databases from one organization to the next is only as valuable or useful as the tools that are able to extract that information and the subsequent analysis that uncovers usable knowledge. As companies move their applications and data into Cloud implementations, the ability to aggregate many disparate data sources into a single data store and be able to easily query the data becomes critical for their continued operations. There are manyRead more
Discovering the Power of AWS Glue in Large Scale Data Analysis
The Challenge A modern technology-driven business is awash in mountains of sorted and unsorted data that can be challenging to transform into something that allows for deep analysis. From a development perspective, defining, building, and normalizing or cataloging data in a way that allows for easier analysis is a daunting task, especially if new data sets are identified as needing analysis. Developers or database administrators have to create processes to extract the information from whichever repository it is stored inRead more
Data Analytics Company Gains Performance and Reduces Cost by Switching from Microsoft SQL to AWS Redshift + Tableau.
Capturing data and utilizing it for business needs is a relatively easy thing to accomplish if done correctly. Analyzing the data to look for patterns and trends is an entirely different issue. When companies decide to implement deep analytics to drive decision making, often implementing the suite of reports can be a challenge. This was partially true for our client, a real-time data analytics company, who approached us to help them find a better way of performing big data analyticsRead more