CTOvision

JANUARY 18, 2015

This popular gathering is designed to enable dialogue about business and technical strategies to leverage today’s big data platforms and applications to your advantage. Engaging the Hadoop Developer — Deep-dive with industry experts into the key projects, technology, and emerging trends driving the enterprise adoption of Hadoop.

Fractional CTO 113

Fractional CTO Program Management Programming Big Data 113

Datavail

SEPTEMBER 17, 2019

While there are a large number of options within the realm of NoSQL databases for big data, MongoDB has the majority market share. S&P Global Market Intelligence data indicates the company experienced 182.1 Turning fast-moving internet of things (IoT) data streams into insight. percent growth in shares in 2018.

Cloud 40

Cloud Azure Big Data Storage 40

Hu's Place - HitachiVantara

MAY 10, 2019

Rule-based fraud detection software is being replaced or augmented by machine-learning algorithms that do a better job of recognizing fraud patterns that can be correlated across several data sources. DataOps is required to engineer and prepare the data so that the machine learning algorithms can be efficient and effective.

Data 90

Data Machine Learning Artificial Inteligence Weak Development Team 90

CIO

MARCH 9, 2022

But the data repository options that have been around for a while tend to fall short in their ability to serve as the foundation for big data analytics powered by AI. Traditional data warehouses, for example, support datasets from multiple sources but require a consistent data structure.

Artificial Inteligence 298

Artificial Inteligence Data Artificial Intelligence Analytics 298

Mobilunity

NOVEMBER 24, 2021

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. In this article, we’ll discuss the role of an ETL engineer in data processing and why businesses need such experts nowadays.

Development 52

Development Storage Recruiting Architecture 52

Cloudera

NOVEMBER 18, 2020

It hosts over 150 big data analytics sandboxes across the region with over 200 users utilizing the sandbox for data discovery. With this functionality, business units can now leverage big data analytics to develop better and faster insights to help achieve better revenues, higher productivity, and decrease risk. .

Data 121

Data Analytics Banking Big Data 121

Altexsoft

JANUARY 14, 2021

Snowflake, Redshift, BigQuery, and Others: Cloud Data Warehouse Tools Compared. 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. Is it still so? Scalability opportunities.

Backup 115

Backup Azure Software Review Systems Review 115

CTOvision

JULY 25, 2016

The Cyber Reconnaissance and Analytics service is powered by the Cray ® Urika ® -GX system – Cray’s new agile analytics platform that fuses the Company’s supercomputing technologies with an open, enterprise-ready software framework for big data analytics. These entities are separate subsidiaries of Deloitte LLP.

Technical Review 61

Technical Review Analytics Weak Development Team Big Data 61

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 94

Data Analytics Storage Big Data 94

Cloudera

FEBRUARY 22, 2021

It builds on a foundation of technologies from CDH (Cloudera Data Hub) and HDP (Hortonworks Data Platform) technologies and delivers a holistic, integrated data platform from Edge to AI helping clients to accelerate complex data pipelines and democratize data assets. query failures, cost overruns).

Data 79

Data Analytics Government Technical Review 79