Cloudera

NOVEMBER 15, 2021

If you’ve ever wondered how much data there is in the world, what types there are and what that means for AI and businesses, then keep reading! Quantifications of data. The International Data Corporation (IDC) estimates that by 2025 the sum of all data in the world will be in the order of 175 Zettabytes (one Zettabyte is 10^21 bytes).

Unstructured Data 88

Unstructured Data Pipeline-centric Database-centric Entertainment 88

Cloudera

SEPTEMBER 12, 2022

Data volumes have been growing for years and are predicted to reach 175 ZB by 2025. First, organizations have a tough time getting their arms around their data. More data is generated in ever wider varieties and in ever more locations. And second, for the data that is used, 80% is semi- or unstructured.

Unstructured Data 74

Unstructured Data Data Lake Data Architecture Data 74

Striim

OCTOBER 11, 2024

Additionally, legacy systems frequently struggle with diverse data types, such as structured, semi-structured, and unstructured data. Contemporary pipelines simplify data management by supporting a wide array of data formats and automating many processes.

Data Pipeline 52

Data Pipeline MongoDB Unstructured Data Data Lake 52

Cloudera

JUNE 7, 2022

In the past decade, the amount of structured data created, captured, copied, and consumed globally has grown from less than 1 ZB in 2011 to nearly 14 ZB in 2020. Impressive, but dwarfed by the amount of unstructured data, cloud data, and machine data – another 50 ZB.

IT 111

IT Unstructured Data Data Architecture Government 111

Knowledge Hut

DECEMBER 26, 2023

According to the World Economic Forum, the amount of data generated per day will reach 463 exabytes (1 exabyte = 10 9 gigabytes) globally by the year 2025. Thus, almost every organization has access to large volumes of rich data and needs “experts” who can generate insights from this rich data.

Data Science 97

Data Science BI Business Intelligence Machine Learning 97

ProjectPro

MARCH 17, 2021

billion by 2025, expanding at a CAGR of 42.8% Deep learning models usually perform Classification tasks directly from sound, text, or images (unstructured data). Data is the governor when it comes to deciding on choosing between deep learning and machine learning. respectively.

Deep Learning 52

Deep Learning Machine Learning Algorithm Data Science 52

Knowledge Hut

DECEMBER 26, 2023

Analyzing and organizing raw data Raw data is unstructured data consisting of texts, images, audio, and videos such as PDFs and voice transcripts. The job of a data engineer is to develop models using machine learning to scan, label and organize this unstructured data.

Data Engineer 98

Data Engineer Data Engineering Engineering Pipeline-centric 98