1-800-591-0442 | 24/7 Live Support Location | Careers | Contact Us

ClearScale Blog

Talk to a cloud specialist

Discovering the Power of Amazon QuickSight for Business Intelligence Needs

01 Nov
By: ClearScale

In order for any organization to fully understand their business operations, customer base or established processes, there is a need to be able to evaluate key data points to determine current state and use the information to make informed decisions on how the business needs to operate. Many solutions exist today that organizations leverage to obtain these types of business intelligence (BI) analytics. Not all BI solutions are necessarily equal, however. Some solutions are complex and monolithic in nature and

Read more

Using AWS Batch to Analyze and Extract Information from Large Document Data Stores

12 Sep
By: ClearScale

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 be

Read more

Ways to Optimize Data Ingestion and Analysis with AWS Glue

27 Aug
By: ClearScale

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 many

Read more

Discovering the Power of AWS Glue in Large Scale Data Analysis

08 Feb
By: ClearScale

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 in

Read more

Data Analytics Company Gains Performance and Reduces Cost by Switching from Microsoft SQL to AWS Redshift + Tableau.

11 May
By: ClearScale

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 analytics

Read more
San Francisco

Headquarters

71 Stevenson St.

Suite 400

San Francisco, CA 94105

O: 1-800-591-0442

F: 1-415-655-6601

San Jose

5450 Thornwood Dr Suite #L

San Jose, CA 95123

Denver

1400 16th Street,

Suite 400

Denver, CO 80202

O: 1-720-932-8028

Phoenix

1910 S. Stapley Drive,

Suite 221

Mesa, AZ 85204

O: 1-480-386-5057

New York

165 Broadway, 23rd Floor

New York City, NY 10006

O: 1-646-759-3656

Toronto

100 King Street West

Suite 5600

Toronto, Ontario, M5X 1C9

O: 1-416-479-5447

© 2017 ClearScale, LLC. All Rights Reserved.    About Us  |  Careers  |  Privacy Policy
Share