Внешний диск HDD A-Data DashDrive Durable HD710Pro, 2ТБ, красный [ahd710p-2tu31-crd]

2 ТБ Внешний HDD A-Data HD710 Pro (AHD710P-2TU31-CBK) черный - 2.5", 5400 rpm, USB 3.2 Gen1 (USB 3.0, USB 3.1 Gen1) Type-A

SP020TBPHD85BS3K / Внешний диск HDD Silicon Power Armor A85B, 2ТБ, черный [sp020tbphd85bs3k]

Внешний HDD Silicon Power Armor A85B позволяет безопасно хранить различные данные и получать доступ к ним при необходимости в нужный момент. Благодаря алюминиевому корпусу, системе амортизации и поглощения ударов, трехслойной конструкции и классу защищенности IP68 накопитель отличается высоким уровнем надежности. Silicon Power Armor A85B способен выдерживать падения и погружения под воду. Емкость 2 ТБ гарантирует хранение довольно большого количества контента. Интерфейс USB подчеркивает широкую совместимость и быстрый обмен данными.

5TB One Touch USB 3.2 Gen1 Type-A Blue

5TB One Touch Grey USB 3.2 Gen1 Type-A

5TB One Touch USB 3.2 Gen1 Type-A Black

The world has become digital and technological advances have multiplied circuits with access to data, their processing and their diffusion. New technologies have now reached a certain maturity. Data are available to everyone, anywhere on the planet. The number of Internet users in 2014 was 2.9 billion or 41% of the world population. The need for knowledge is becoming apparent in order to understand this multitude of data. We must educate, inform and train the masses. The development of related technologies, such as the advent of the Internet, social networks, «cloud-computing» (digital factories), has increased the available volumes of data. Currently, each individual creates, consumes, uses digital information: more than 3.4 million e-mails are sent worldwide every second, or 107,000 billion annually with 14,600 e-mails per year per person, but more than 70% are spam. Billions of pieces of content are shared on social networks such as Facebook, more than 2.46 million every minute. We spend more than 4.8 hours a day on the Internet using a computer, and 2.1 hours using a mobile. Data, this new ethereal manna from heaven, is produced in real time. It comes in a continuous stream from a multitude of sources which are generally heterogeneous. This accumulation of data of all types (audio, video, files, photos, etc.) generates new activities, the aim of which is to analyze this enormous mass of information. It is then necessary to adapt and try new approaches, new methods, new knowledge and new ways of working, resulting in new properties and new challenges since SEO logic must be created and implemented. At company level, this mass of data is difficult to manage. Its interpretation is primarily a challenge. This impacts those who are there to «manipulate» the mass and requires a specific infrastructure for creation, storage, processing, analysis and recovery. The biggest challenge lies in «the valuing of data» available in quantity, diversity and access speed.

Внешний HDD Transcend StoreJet 25M3S исполнен в корпусе из обрезиненного пластика. Такой материал обладает амортизирующими свойствами, не скользит в руках, так что аксессуар надежно убережет все содержимое, записанное на него. Так что можете без опасений хранить данные на этом портативном устройстве объемом в 1 ТБ, которое также позволит вам в значительной степени «разгрузить» системы ваших ПК. HDD Transcend StoreJet 25M3S форм-фактора 2.5" – надежный, долговечный, качественно исполненный.

Written for practitioners of data mining, data cleaning and database management. Presents a technical treatment of data quality including process, metrics, tools and algorithms. Focuses on developing an evolving modeling strategy through an iterative data exploration loop and incorporation of domain knowledge. Addresses methods of detecting, quantifying and correcting data quality issues that can have a significant impact on findings and decisions, using commercially available tools as well as new algorithmic approaches. Uses case studies to illustrate applications in real life scenarios. Highlights new approaches and methodologies, such as the DataSphere space partitioning and summary based analysis techniques. Exploratory Data Mining and Data Cleaning will serve as an important reference for serious data analysts who need to analyze large amounts of unfamiliar data, managers of operations databases, and students in undergraduate or graduate level courses dealing with large scale data analys is and data mining.