O'Reilly Media - Data

JULY 23, 2018

Over the last few years, many companies have begun rolling out data platforms for business intelligence and business analytics. The good news is that there are new privacy-preserving tools and techniques —including differential privacy—that are becoming available for both business intelligence and ML applications.

Machine Learning 123

Machine Learning Artificial Inteligence How To Case Study 123

Dell EMC

MAY 28, 2020

About 20 years ago, I started my journey into data warehousing and business analytics. Over all these years, it’s been interesting to see the evolution of big data and data warehousing, driven by the rise of artificial intelligence and widespread adoption of Hadoop. READ MORE.

Big Data 83

Big Data Data Artificial Inteligence Artificial Intelligence 83

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

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 Architecture 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 102

Data Analytics Storage Big Data 102

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

Sunflower Lab

JULY 5, 2023

Power BI is one of the leading tools in business intelligence software. Why Business Intelligence Software? We must see some of the obstacles that Business Intelligent software will address. It still is a developing sector which cannot comply with any sort of compromises as it handles human lives.

Healthcare 52

Healthcare Data Business Intelligence Technical Review 52

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

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

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