Altexsoft

SEPTEMBER 6, 2018

An expert talking about the capabilities of predictive analytics for business on a morning TV show is far from unusual. Articles covering AI or data science in Facebook and LinkedIn appear regularly, if not daily. Our clients considered working with large datasets a big data problem. Big data analysis.

Company 63

Company Off-The-Shelf Data Software Review 63

CTOvision

OCTOBER 18, 2013

With the continuous development of advanced infrastructure based around Apache Hadoop there has been an incredible amount of innovation around enterprise “Big Data” technologies, including in the analytical tool space. H2O by 0xdata brings better algorithms to big data. This is great for analysts!

Technical Review 99

Technical Review Analytics Technology Big Data 99

Datavail

JUNE 6, 2019

Companies of all sizes and industries are hungry for business insights, and they’re willing to pay big bucks to get them. According to forecasts by market intelligence firm IDC, global revenues for big data and analytics solutions will hit $260 billion by 2022 , with a compound annual growth rate of 12 percent.

Tools 75

Tools Artificial Inteligence Analytics Artificial Intelligence 75

Gorilla Logic

MAY 19, 2021

Not surprisingly, the skill sets companies need to drive significant enterprise software builds, such as big data and analytics, cybersecurity, and AI/ML, are among the most competitive. Some of the most common include cloud, IoT, big data, AI/ML, mobile, and more. Cloud capabilities for software outsourcing.

Software Review 94

Software Review Technical Review Software Development Team Review 94

Datavail

DECEMBER 5, 2019

We’ve now reviewed the top 4 data trends projected by Datanami for 2019 – let’s see how stack up for trend #5. Even within the greater technology field, big data stands out for the speed at which new tools and practices appear and change. As of August 2018, there were 151,000 unfilled data scientist positions across the U.S. ,

Big Data 8

Big Data Technical Review Trends Technology 8

Mobilunity

NOVEMBER 24, 2021

The demand for specialists who know how to process and structure data is growing exponentially. In most digital spheres, especially in fintech, where all business processes are tied to data processing, a good big data engineer is worth their weight in gold. Who Is an ETL Engineer?

Development 52

Development Storage Recruiting Architecture 52

Altexsoft

FEBRUARY 3, 2020

A study reveals that data-driven organizations are 23 times more likely to acquire customers than their less proactive competitors. This is only one but a very important parameter that proves the power of big data in modern business operations. Want to write an article for our blog?

Analytics 87

Analytics Tools Data Artificial Inteligence 87

Sunflower Lab

APRIL 2, 2024

That’s where predictive analytics with Power BI swoops in, taking center stage as a game-changer for CEO decision-making. This isn’t just a blog post; it’s a detailed guide that CEOs, Business Analysts, and Data Scientists need to weave predictive analytics seamlessly into the DNA of their organizations using Power BI.

Analytics 40

Analytics Machine Learning Artificial Inteligence Analysis 40

Cloudera

NOVEMBER 2, 2020

Correlations across data domains, even if they are not traditionally stored together (e.g. real-time customer event data alongside CRM data; network sensor data alongside marketing campaign management data). The extreme scale of “big data”, but with the feel and semantics of “small data”.

Data 91

Data Analytics Storage Big Data 91