Cloudera
DECEMBER 15, 2017
Manufacturing as an industry has always been at the forefront of squeezing value from data. Instrumentation, highly connected systems, and automation have been part and parcel of manufacturing organisations for decades. Yet many manufacturers now feel they’ve bumped up against a ceiling. No pipedream.
Knowledge Hut
APRIL 23, 2024
Data storing and processing is nothing new; organizations have been doing it for a few decades to reap valuable insights. Compared to that, Big Data is a much more recently derived term. So, what exactly is the difference between Traditional Data and Big Data? Data Size Much larger in size, volume, and variety.
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Knowledge Hut
APRIL 25, 2024
Data management The process of obtaining, storing, and using data in a cost-effective, effective, and secure way is known as data management. As businesses increasingly rely on intangible assets to create value, an efficient data management strategy is more important than ever.
Cloudera
DECEMBER 11, 2020
Without meeting GxP compliance, the Merck KGaA team could not run the enterprise data lake needed to store, curate, or process the data required to inform business decisions. It can also prevent unauthorized data access, decrease operational costs, and greatly increase business agility for multiple users.
AltexSoft
MAY 12, 2023
What is unstructured data? Definition and examples Unstructured data , in its simplest form, refers to any data that does not have a pre-defined structure or organization. It can come in different forms, such as text documents, emails, images, videos, social media posts, sensor data, etc.
AltexSoft
AUGUST 29, 2023
If your organization fits into one of these categories and you’re considering implementing advanced data management and analytics solutions, keep reading to learn how data lakes work and how they can benefit your business. Data sources can be broadly classified into three categories. Structured data sources.
Knowledge Hut
DECEMBER 29, 2023
Specific Skills and Knowledge: Data collection and storage optimization Data processing and interpretation Reporting and displaying statistical and pattern information Developing and evaluating models to handle huge amounts of data Understanding programming languages C. It separates the hidden links and patterns in the data.
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