Infinidat

MARCH 10, 2021

Re-Thinking the Storage Infrastructure for Business Intelligence. With digital transformation under way at most enterprises, IT management is pondering how to optimize storage infrastructure to best support the new big data analytics focus. Adriana Andronescu. Wed, 03/10/2021 - 12:42.

Business Intelligence 98

Business Intelligence Storage Infrastructure Artificial Inteligence 98

CTOvision

FEBRUARY 4, 2015

Dr. Daniel Duffy is head of the NASA Center for Climate Simulation (NCCS, Code 606.2), which provides high performance computing, storage, networking, and data systems designed to meet the specialized needs of the Earth science modeling communities. Pentaho is building the future of business analytics. Eddie Garcia. Produced by.

Fractional CTO 134

Fractional CTO Technical Review Big Data Analytics 134

CTOvision

JANUARY 18, 2015

Dr. Daniel Duffy is head of the NASA Center for Climate Simulation (NCCS, Code 606.2), which provides high performance computing, storage, networking, and data systems designed to meet the specialized needs of the Earth science modeling communities. Pentaho is building the future of business analytics. Eddie Garcia. Produced by.

Fractional CTO 113

Fractional CTO Program Management Programming Big Data 113

The Kini Group

APRIL 11, 2016

These cloud-based data warehousing and analytics providers are tasked with protecting all of their customers’ data and have big incentives to maintain customer trust and confidence. To ensure they choose a quality cloud vendor for data storage, CFOs should start by asking these important questions: How do they keep their customers’ data safe?

Data 44

Data Software Review Handbook Analytics 44

TechCrunch

SEPTEMBER 13, 2022

In late 2020, developers Noam Liran and Alex Litvak were inspired to create a platform that applied automation concepts from security to the business analytics space. Sightfull falls into the category of software startups known as revenue operations and intelligence (RO&I), which has been red-hot lately.

Business Intelligence 185

Business Intelligence Analytics Business Analytics Hardware 185

CIO

MARCH 9, 2022

As such, the lakehouse is emerging as the only data architecture that supports business intelligence (BI), SQL analytics, real-time data applications, data science, AI, and machine learning (ML) all in a single converged platform. Challenges of supporting multiple repository types. Learn more at [link]. .

Artificial Inteligence 279

Artificial Inteligence Data Artificial Intelligence Analytics 279

Mobilunity

NOVEMBER 24, 2021

In this article, we’ll discuss the role of an ETL engineer in data processing and why businesses need such experts nowadays. The growing number of data sources and the need for data storage and analysis require companies to conduct a meticulous collection, storage, and processing of information. Who Is an ETL Engineer?

Development 52

Development Storage Recruiting Architecture 52

Datavail

AUGUST 6, 2020

Analytics is the process of turning raw data into valuable business insights through quantitative and statistical methods. There are three ways of classifying business analytics methods according to their use case: Descriptive methods examine historical data to identify meaningful trends and patterns.

Analytics 52

Analytics Cloud Disaster Recovery Business Analytics 52

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?

Backup 115

Backup Azure Software Review Systems Review 115

Cloudera

NOVEMBER 2, 2020

It has the key elements of fast ingest, fast storage, and immediate querying for BI purposes. These include stream processing/analytics, batch processing, tiered storage (i.e. Analytics storage and query engine for pre-aggregated event data. Analytics storage engine for huge volumes of fast arriving data.

Data 93

Data Analytics Storage Big Data 93

Altexsoft

SEPTEMBER 19, 2019

Then to move data to single storage, explore and visualize it, defining interconnections between events and data points. That’s what business intelligence (BI) is about. What is business intelligence and what tools does it need? What is business intelligence and what tools does it need?

Business Intelligence 13

Business Intelligence Tools Data Azure 13

The Kini Group

DECEMBER 5, 2016

It’s often in a dozen different formats, storage systems, and analysis applications. A complete audit of all data entry, management, and analytics systems is a great first step. Instead, adopt new ones that allow for multiple purposes – such as storage and analysis or analytics and reporting. Make Data Easier to Manage.

Company 56

Company Data Analytics Systems Review 56