Altexsoft

JANUARY 14, 2021

From simple mechanisms for holding data like punch cards and paper tapes to real-time data processing systems like Hadoop, data storage systems have come a long way to become what they are now. For over 30 years, data warehouses have been a rich business-insights source. Is it still so? Data warehouse architecture.

Backup 115

Backup Azure Software Review Systems Review 115

Mobilunity

NOVEMBER 24, 2021

At this stage, the developer must format, clean, and change the information structure to integrate with the target data system and the rest of the data in that system. Loading (L): Loading refers to the process of placing information in a data storage system. Create a data pipeline. Manage ETL processes.

Development 52

Development Storage Recruiting Architecture 52

The Kini Group

MAY 31, 2018

It’s only improved over the last three and a half decades, evolving with the needs of business and finance. Unfortunately, we’ve hit a turning point in financial and business intelligence technology. The spreadsheet has maxed out in its ability when it comes to advanced BI analytics required by businesses today.

Analytics 54

Analytics Weak Development Team Analysis Backup 54

Altexsoft

SEPTEMBER 19, 2019

Some variables to consider are customer buyer persona, website reviews, social media mentions, sales figures by day and hour in different store locations, a holiday or other events, expected pay dates in local companies, even heat map data for every store, and current planogram. That’s what business intelligence (BI) is about.

Business Intelligence 13

Business Intelligence Tools Data Azure 13

The Kini Group

APRIL 11, 2016

Have you seen that BAE Systems commercial featuring a CEO being told all of this company data has been hacked? 41% of data security professionals worry about security attacks due to leaks in cloud-based services. Where’s their backup storage to shift all critical data until the leaks in the breached system can be patched?

Data 44

Data Software Review Handbook Analytics 44

The Kini Group

APRIL 3, 2017

Let’s get realistic about how much time you’ll actually be able to spend in your new analytics solution. We’re all busy, so not a lot, right? This problem compounds on itself when you consider how often you upload fresh data into your system. You can review changes in data with just a few clicks.

Big Data 40

Big Data Analytics Data Technical Review 40