Cloudera

AUGUST 31, 2021

While this “data tsunami” may pose a new set of challenges, it also opens up opportunities for a wide variety of high value business intelligence (BI) and other analytics use cases that most companies are eager to deploy. . Traditional data warehouse vendors may have maturity in data storage, modeling, and high-performance analysis.

Data 80

Data Analytics Cloud Technical Review 80

Sunflower Lab

AUGUST 18, 2023

Teams Microsoft Teams is a powerful collaboration platform that brings together chat, video conferencing, file sharing, and app integration in one place. Power Apps This low-code/no-code development platform empowers users to create custom applications built to their unique business requirements. Let’s talk! Contact Us Today!

Software Review 52

Software Review Technical Review Comparison Applications 52

Altexsoft

FEBRUARY 11, 2023

It serves as a foundation for the entire data management strategy and consists of multiple components including data pipelines; , on-premises and cloud storage facilities – data lakes , data warehouses , data hubs ;, data streaming and Big Data analytics solutions ( Hadoop , Spark , Kafka , etc.); Feel free to enjoy it.

Data 87

Data Data Engineering Big Data Architecture 87

elsua: The Knowledge Management Blog

OCTOBER 22, 2007

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3D 40

3D Video Wireless Linux 40

elsua: The Knowledge Management Blog

AUGUST 28, 2007

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3D 40

3D Video Wireless Linux 40

elsua: The Knowledge Management Blog

DECEMBER 12, 2006

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3D 40

3D Wireless Video Linux 40

elsua: The Knowledge Management Blog

DECEMBER 5, 2006

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Wireless 40

Wireless Video Linux Data Center 40

Altexsoft

APRIL 23, 2019

The answer is business intelligence. In this article, we will discuss the actual steps of bringing business intelligence into your existing corporate infrastructure. You will learn how to set up a business intelligence strategy and integrate tools into your company workflow. What is business intelligence?

Business Intelligence 93

Business Intelligence Analytics Tools Strategy 93

CTOvision

JULY 9, 2014

In the text below, I examine an on-premise Hadoop ecosystem as a general purpose Big Data solution in relation to alternative commercial purpose-built storage technologies (-e.g. Many organizations have purpose-built solutions for asking business intelligence questions, providing disaster recovery/backup, etc.,

Big Data 114

Big Data Data CTO Fractional CTO 114

The Kini Group

APRIL 11, 2016

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? Where’s their backup storage to shift all critical data until the leaks in the breached system can be patched? See its power for yourself by viewing our video demos.

Data 44

Data Software Review Handbook Analytics 44

Kentik

MAY 23, 2017

Imagine a big data time-series datastore that unifies traffic flow records (NetFlow, sFlow, IPFIX) with related data such as BGP routing, GeoIP, network performance, and DNS logs, that retains unsummarized data for months, and that has the compute and storage power to answer ad hoc queries across billions of data points in a couple of seconds.

Network 40

Network Open Source Big Data Load Balancer 40

Apiumhub

FEBRUARY 25, 2021

Recognition (image, text, audio, video, facial, …). In Gartner’s recent survey of more than 3,000 CIOs, respondents ranked analytics and business intelligence as the top differentiating technology for their organizations. It is focused on industries working in the field of business intelligence. fraud detection).

Tools 72

Tools Data Machine Learning Artificial Inteligence 72

CIO

MARCH 9, 2022

Newer data lakes are highly scalable and can ingest structured and semi-structured data along with unstructured data like text, images, video, and audio. Data lakehouses also ensure that teams have the most complete and up-to-date data available for data science, AI/ML, and business analytics projects. Pulling it all together.

Artificial Inteligence 298

Artificial Inteligence Data Artificial Intelligence Analytics 298

Hu's Place - HitachiVantara

JULY 1, 2019

According to Stratistics MRC , the global video surveillance market stood at $19.51 Video data is the most underutilized source of data today. Video data is IoT data and it is massive. Even though a lot of surveillance data is over written when the storage gets full, Video data is still growing at over 330 PB per day.

Video 45

Video Artificial Intelligence Artificial Inteligence IoT 45

elsua: The Knowledge Management Blog

MAY 15, 2008

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Wireless 40

Wireless Linux Data Center Journal 40

elsua: The Knowledge Management Blog

APRIL 30, 2008

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Wireless 40

Wireless Linux Data Center Journal 40

elsua: The Knowledge Management Blog

APRIL 27, 2008

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Wireless 40

Wireless Linux Software Data Center 40

Openxcell

MARCH 16, 2021

SCORM, external links, PDFs, audio, video) and another list of nice-to-have supported file types for your future. Few factors to think about: Data storage location User authentication Who can have access to what data. Does your company use existing HR software or Business Intelligence? Integrations.

How To 52

How To Training Technical Review Systems Review 52

elsua: The Knowledge Management Blog

APRIL 14, 2008

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Wireless 40

Wireless Linux Data Center Journal 40

elsua: The Knowledge Management Blog

APRIL 4, 2008

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Wireless 40

Wireless Linux Data Center Journal 40

elsua: The Knowledge Management Blog

SEPTEMBER 24, 2007

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Education 45

Education Wireless Social Linux 45

elsua: The Knowledge Management Blog

APRIL 20, 2007

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Wireless 49

Wireless Linux Data Center Journal 49

elsua: The Knowledge Management Blog

SEPTEMBER 17, 2007

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Virtualization 40

Virtualization Wireless Linux Data Center 40

elsua: The Knowledge Management Blog

OCTOBER 20, 2007

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Wireless 40

Wireless Linux Data Center Journal 40

Strategy Driven

AUGUST 27, 2015

The Internet and cloud computing have revolutionized the nature of data capture and storage, tempting many companies to adopt a new 'Big Data' philosophy: collect all the data you can; all the time. Big Data involves not just the structured data (customer name and details, products purchased, how much was spent and when, etc.)

Big Data 37

Big Data Data Storage Journal 37

elsua: The Knowledge Management Blog

AUGUST 9, 2006

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Wireless 45

Wireless Linux Data Center Journal 45

Xicom

OCTOBER 15, 2021

Often, service providers have their mobile apps built to address specific services; there are low chances that individuals wouldn’t download them as no mobile app has mammoth storage to impel them all. This is where a super app like GoJek comes into the big picture. VoIP Feature. Regular Currency Update.

Technical Review 52

Technical Review Technology Mobile VOIP 52

CIO

SEPTEMBER 22, 2023

The platform’s data collection, storage, scalability, and processing capabilities will also weigh heavily in making your choice. Roku OneView The brand name may be more familiar as a streaming video device manufacturer, but Roku also places ads. Some DMPs provide granular segmentation features for developing audience profiles.

Data 264

Data Advertising Report Performance 264

O'Reilly Media - Ideas

SEPTEMBER 19, 2023

It progressed from “raw compute and storage” to “reimplementing key services in push-button fashion” to “becoming the backbone of AI work”—all under the umbrella of “renting time and storage on someone else’s computers.” ” (It will be easier to fit in the overhead storage.)

Data 113

Data Artificial Inteligence Machine Learning Hardware 113

Altexsoft

DECEMBER 14, 2020

The examples of unstructured data vary from imagery and text files like PDF documents to video and audio files, to name a few. On top of that, structured data doesn’t normally require much storage space. DW are central data storages used by companies for data analysis and reporting. or video files (MP4, WMV, etc.),

Data 93

Data Artificial Inteligence Storage Analytics 93

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. The platform provides fast, flexible, and easy-to-use options for data storage, processing, and analysis.

Weak Development Team 59

Weak Development Team Data Storage Technical Review 59

Altexsoft

APRIL 16, 2021

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. Optionally, you may study some basic terminology on data engineering or watch our short video on the topic: What is data engineering.

Analytics 98

Analytics Analysis Storage Business Intelligence 98

Altexsoft

NOVEMBER 10, 2021

In a nutshell, the lakehouse system leverages low-cost storage to keep large volumes of data in its raw formats just like data lakes. This enables different teams to use a single system to access all of the enterprise data for a range of projects, including data science, machine learning, and business intelligence. Data lake.

Architecture 52

Architecture Data Storage Machine Learning 52

Altexsoft

OCTOBER 30, 2021

The lengthy but crucial process of data preparation is typically run by a data scientist, who identifies what data is needed to achieve your business goals, where to get it from, and how to make it consistent with the desired outcome. We have a detailed video listing different processing stages data goes through and we urge you to watch it.

Data Engineering 98

Data Engineering Engineering Data Machine Learning 98

Altexsoft

MARCH 18, 2021

From the late 1980s, when data warehouses came into view, and up to the mid-2000s, ETL was the main method used in creating data warehouses to support business intelligence (BI). Cloud data warehouses such as Snowflake, Redshift, and BigQuery also support ELT, as they separate storage and compute resources and are highly scalable.

Systems Review 109

Systems Review Technical Review Software Review Compliance 109

Altexsoft

JULY 22, 2022

freight (loading/unloading, storage, stuffing/stripping, etc.), The yard is basically a large storage area in the terminal that has to be efficiently managed. Different storage areas have to be created and freight has to be allocated according to further operations. Financial, business intelligence, and general ledger systems.

Operating System 52

Operating System Systems Review System Technical Review 52

Altexsoft

JUNE 26, 2023

Data collection is a methodical practice aimed at acquiring meaningful information to build a consistent and complete dataset for a specific business purpose — such as decision-making, answering research questions, or strategic planning. Set up data storage technology. Data engineering explained in 14 minutes. No wonder only 0.5

Machine Learning 52

Machine Learning Artificial Inteligence Data Systems Review 52