CIO

AUGUST 5, 2022

Key data visualization benefits include: Unlocking the value big data by enabling people to absorb vast amounts of data at a glance. Identifying errors and inaccuracies in data quickly. The project is filled with innovative data visualizations. It also features a drag-and-drop interface.

Data 214

Data Analytics Travel Business Intelligence 214

CTOvision

JANUARY 19, 2014

The place for enterprises to store all data with enterprise grade data management and protection, with access by any system (from legacy to modern, from proprietary to open source). This is the big data news of 2013, from a technology perspective. Business Intelligence 2.0: It may well be that again in 2014.

Technical Review 109

Technical Review Technology Business Intelligence Systems Review 109

TechCrunch

NOVEMBER 4, 2021

million since being founded in 2014. Neuro-ID , an analytics platform capturing real-time customer behavior at scale for digital organizations so that they can see and understand the intent of their digital customer and identify the root cause of customer friction, secured $35 million in Series B funding.

Analytics 218

Analytics Fintech Banking Insurance 218

CTOvision

JUNE 16, 2016

Businesses across every sector and all government agencies have mission-critical questions to ask and most all have the data assets they need to answer them. They’ve invested heavily in big data analytics — $44 billion in 2014 alone, according to Gartner.

Data 62

Data Enterprise Big Data Business Intelligence 62

Kentik

MAY 8, 2016

As we discussed in an earlier post, From NetFlow Analysis to Business Outcome , a Big Data approach to collecting, storing, accessing, and analyzing management data enables the level of collaboration that’s required for an organization to exhibit the key characteristics of a digital business.

Big Data 40

Big Data Data Network Agile 40

Kentik

MAY 31, 2016

In the first post we discussed the need for a Big Data approach to network management in order to support agile business models and rapid innovation. In the second post we looked at how insights from a Big Data approach to network management enable data-driven network operations.

Big Data 40

Big Data Data Analytics Weak Development Team 40

Altexsoft

JULY 18, 2023

These seemingly unrelated terms unite within the sphere of big data, representing a processing engine that is both enduring and powerfully effective — Apache Spark. Maintained by the Apache Software Foundation, Apache Spark is an open-source, unified engine designed for large-scale data analytics. Big data processing.

Weak Development Team 52

Weak Development Team Big Data Data Artificial Inteligence 52

Openxcell

MARCH 27, 2025

helps businesses improve their decision-making, streamline workflows, and open more opportunities for digital growth. The company offers dynamic services in the AI field, such as machine learning, NLP, business intelligence, sentiment analysis, generative AI, chatbot applications, and AI-powered app development.

Artificial Inteligence 40

Artificial Inteligence Artificial Intelligence Innovation Company 40

Xebia

JANUARY 19, 2023

. – AltexSoft All the data processing is done in Big Data frameworks like MapReduce, Spark and Flink. – Jesse Anderson The data engineering field could be thought of as a superset of business intelligence and data warehousing that brings more elements from software engineering.

Data Engineering 130

Data Engineering Engineering Data Technical Review 130

Altexsoft

APRIL 26, 2022

Not long ago setting up a data warehouse — a central information repository enabling business intelligence and analytics — meant purchasing expensive, purpose-built hardware appliances and running a local data center. These are the basics needed to explore the world of Snowflake and how it works. What is Snowflake?

Weak Development Team 59

Weak Development Team Data Storage Technical Review 59

Altexsoft

FEBRUARY 24, 2023

Clearly, there must be a mechanism to coordinate the work of such complex distributed systems, and that’s exactly what Kubernetes was designed for by Google back in 2014. Modern apps include dozens to hundreds of individual modules running across multiple machines— for example, eBay uses nearly 1,000 microservices.

Weak Development Team 83

Weak Development Team Load Balancer Technical Review Microservices 83

Altexsoft

APRIL 16, 2021

Namely, we’ll explain what functions it can perform, and how to use it for data analysis. As the topic is closely related to business intelligence (BI) and data warehousing (DW), we suggest you to get familiar with general terms first: A guide to business intelligence. An overview of data warehouse types.

Analytics 98

Analytics Analysis Storage Business Intelligence 98

CTOvision

DECEMBER 23, 2015

We will see the emergence of DataOps as a way for enterprises to manage and embrace the full volume and variety of their data ─ helping them rapidly deliver data that enables and accelerates analytics. 2) Mike Stonebraker ─ Tamr Co-Founder/CTO and 2014 Turing Award winner.

Data 67

Data Artificial Intelligence Artificial Inteligence Technical Review 67