Altexsoft

JULY 29, 2022

Depending on how you measure it, the answer will be 11 million newspaper pages or… just one Hadoop cluster and one tech specialist who can move 4 terabytes of textual data to a new location in 24 hours. Developed in 2006 by Doug Cutting and Mike Cafarella to run the web crawler Apache Nutch, it has become a standard for Big Data analytics.

Big Data 59

Big Data Data Google Cloud Open Source 59

Mobilunity

MAY 20, 2021

For example, everyone has cloud storage available on their smartphones or connected to their Google account. They are very close to AWS as 76% of businesses use their platform for public cloud storage, which influences average Azure Cloud engineer salary. Nowadays, it is used both by individuals and enterprises. Alibaba Cloud.

Engineering 52

Engineering Cloud Google Cloud Azure 52

Kentik

AUGUST 22, 2017

Similarly, most ISPs, telecommunications providers and web companies had time to prepare for Monday’s big event. That’s nearly impossible to do with the limited storage and compute power of legacy network monitoring systems. That means you’ve got time to prepare for the next one.

Internet 40

Internet Telecommunications Media Network 40

Cloudera

SEPTEMBER 15, 2022

Apache Ozone is a distributed, scalable, and high-performance object store , available with Cloudera Data Platform (CDP), that can scale to billions of objects of varying sizes. Structured data (such as name, date, ID, and so on) will be stored in regular SQL databases like Hive or Impala databases. Diversity of workloads.

Storage 90

Storage System Artificial Inteligence Big Data 90

The Crazy Programmer

DECEMBER 13, 2020

Big Data Analysis for Customer Behaviour. Big data is a discipline that deals with methods of analyzing, collecting information systematically, or otherwise dealing with collections of data that are too large or too complex for conventional device data processing applications. Data Warehousing.

Engineering 270

Engineering Wireless 3D Programming 270

Cloudera

AUGUST 27, 2021

The organization was locked into a legacy data warehouse with high operational costs and inability to perform exploratory analytics. With more than 25TB of data ingested from over 200 different sources, Telkomsel recognized that to best serve its customers it had to get to grips with its data. .

Industry 87

Industry Data Big Data Telecommunications 87

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 124

Data Analytics Banking Big Data 124

Cloudera

NOVEMBER 2, 2020

As an example of this, in this post we look at Real Time Data Warehousing (RTDW), which is a category of use cases customers are building on Cloudera and which is becoming more and more common amongst our customers. Let’s consider a large Asian Telecommunications provider who is rolling out 5G. One other example highlights this trend.

Data 99

Data Analytics Storage Big Data 99

ProCal Tech

OCTOBER 2, 2022

With the right expertise at hand, you will be able to achieve full speed and workflow between various cloud platforms, storage, and hypervisors. multi-cloud is a complete solution not only for storage but also for balance as it allows businesses to increase their storage up or down based on ongoing needs.

Cloud 52

Cloud Disaster Recovery Storage Telecommunications 52

Altexsoft

MAY 20, 2020

Source: IoT Analytics. For companies, incorporating the consistent IoT strategy into daily routine means continuous access to valuable data about products and processes that can be translated into reduced expenses, improved efficiency in logistics and maintenance, better products and enhanced customer experience. Source: IoT Analytics.

IoT 141

IoT Azure AWS Transportation 141

Altexsoft

JULY 9, 2021

Besides that, edge computing allows you to occupy less cloud storage space owing to the fact that you save only the data you really need and will use. Similar to edge and fog computing, cloud computing supports the idea of distributed data storage and processing. If translated to business terms, this means.

IoT 59

IoT Azure Hardware USP 59

Altexsoft

AUGUST 4, 2021

The main idea is to provide a particular part of an organization with data that is the most relevant for their analytical needs. For example, the sales or finance teams can use a data mart containing sales information only to make quarterly or yearly reports and projections. Moreover, not all organizations use data lakes.

Data 64

Data Analytics Construction Cloud 64

Existek

JANUARY 27, 2023

Digital wallets are electronic versions of physical wallets to store credit card information, debit card information, and other sensitive data. Digital wallets also have additional features such as loyalty card storage, gift card management, and cashless payments.

Software Development 52

Software Development Trends Technology Software 52

Altexsoft

JUNE 20, 2019

In relational DBMS, the data appears as tables of rows and columns with a strict structure and clear dependencies. Due to the integrated structure and data storage system, SQL databases don’t require much engineering effort to make them well-protected. Simple data access, storage, input, and retrieval.

Systems Review 85

Systems Review System Software Review Open Source 85

Altexsoft

NOVEMBER 5, 2021

To avoid errors that may threaten patient safety, AHIMA introduced the data quality management model which covers. Application, or the reason for data collection, Collection, or the process of data gathering, Warehousing, or systems and activities related to data storage and archiving, and. Supported data formats.

Technical Review 59

Technical Review Technology Software Review Healthcare 59

Capgemini

FEBRUARY 7, 2024

Data acquisition and processing: SDaaS providers use ground stations and advanced data-processing techniques to receive, process, and analyze the data collected by satellites. This involves converting raw data into usable formats and extracting relevant information. There has been number of applications of SDaaS.

Data 52

Data Big Data Technical Review Storage 52