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Big data
Big Data is information that contains a greater variety that arrives in increasing volumes and with increasing speed. This is known as the three "V's."
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It offers a data management platform that absorbs and delivers data of any size and shape for any type of application: analytics or algorithm, in any type of environment: public cloud, local or local cloud.
The 3 V's of Big Data
VOLUME
The amount of data matters. With Big Data, you will have to process large volumes of low-density unstructured data. This can be data of unknown value, such as Twitter data feeds, clicks on a web page or mobile app, or sensor-enabled equipment.
For some organizations, this could be tens of terabytes of data. For others, it can be hundreds of petabytes.
SPEED
It is the fast speed at which data is received and (perhaps) acted upon.
Typically, the highest speed of data streams directly into memory rather than being written to disk.
Some smart Internet-enabled products operate in real time or near real time and will require real-time evaluation and action.
VARIETY
Variety refers to the many types of data available; T he traditional data types were structured and fit perfectly in a relational database.
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With the rise of big data, data comes in new types of unstructured data.
Unstructured and semi-structured data types, such as text, audio, and video, require additional preprocessing to derive meaning and support metadata.
How does Big Data work?
Big Data offers new insights that open up new opportunities and business models. Getting started involves three key actions:
to integrate
Big Data brings together data from many disparate sources and applications. Traditional data integration mechanisms such as ETL (extract, transform and load) generally fall short.
It requires new strategies and technologies to analyze large data sets at scale.
During integration, you must ingest the data, process it, and make sure it is formatted and available so that your business analysts can get started.
MANAGE
Big Data requires storage, your storage solution can be in the cloud, on premises, or both.
You can store your data in any way you want and bring the desired processing requirements and the necessary processing engines to those data sets.
The cloud is gradually gaining popularity because it supports your current computing requirements and allows you to increase resources as needed.
analyze
Your investment in Big Data pays off when it analyzes and acts on your data. Get new clarity with a visual analysis of your data sets.
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Explore the data further to make new discoveries, share your findings with others, model data with machine learning and artificial intelligence.
Put your data to work.
Why Big Data from Oracle?
Managing Big Data effectively, efficiently and safely is more difficult than ever. But in today's world of data proliferation, it has become essential.
Only Oracle offers a data management platform that absorbs and delivers data of any size and shape for any type of application: analytics or algorithm, in any type of environment: public cloud, local or local cloud.
Prepare and manage your data more easily. Combine your data more easily. And start analyzing it more easily to discover insights you've never seen before, with true data discovery.