Big data analytics refers to extremely large, complex sets of data that are analyzed for business insights, operational efficiency, and patterns to uncover business opportunities and mitigate risks. Learn how big data works with examples, use cases, and the best technologies for modern organizations.
The term “big data” refers to complex, fast, and large data that is very difficult to process using traditional methods.
While the term "big data" has been around for a long time and had its peak in 2001, when Doug Laney articulated the definition as the 3 Vs of big data: volume, velocity and variety.
Data management is the process of collecting big data from various sources and includes storing, processing, validating, securing, processing, cleansing the data. Data management is table stakes for all companies benefiting from big data analytics and insights.
An effective data management process is important because it ensures that the information is accurate, reliable and as up-to-date as possible for everyone who needs to access it for analysis, reporting and making business decisions. Not only is data management include new processes, it also involves understanding and updating existing architectures, policies and best practices and platforms.
Ensuring that data management is done correctly becomes of utmost importance as big data is every company’s capital. The users of the data has expectations on accuracy, reliability and truth and this has impact out on decision makers, executives and shareholders of the company.
If you look at all the successful companies in the world, you'll notice they all continuously collect and analyze big data to increase their value proposition, understand customers, and continuously improve operations and efficiency.
There are an infinite number of big data use cases and increasingly, data provides the competitive advantages and value for these companies. Big data analytics allows for large data sets to be sampled, providing significantly more accurate results, allowing organizations to unify data for deep business insights, mitigate risks, and make informed decisions at large scale.
The data created in an organization is valuable, and by managing big data correctly, numerous competitive advantages arise. Here are the most common benefits:
La plupart des organisations sont confrontées à une explosion de données provenant de nouvelles applications, de nouveaux débouchés commerciaux, de l'IoT et bien plus. L’architecture idéale que la plupart d'entre elles envisagent est un système propre et optimisé qui permet aux entreprises de tirer profit de toutes les données.
However, dealing with the sheer volume of data that arrives in various formats, from numerous sources, and as structured/unstructured data.
As this data continues to grow in volume and complexity, complications often arise. As such, it helps to have a solid plan to focus on the data that’s needed, how it’ll be used, and the analytics that will be performed for maximum benefit.
A major challenge in modern data management is the ability to streamline all data types, from all sources and formats into a single pane. The ability to process and integrate data in real-time allows for digitalization, speedy time-to-market, quick innovation, and agile projects.
Real Time Businesses Rely On Real Time Data
A stock market is dynamic and changes rapidly. Same with shopping websites, ride share apps, weather reports, and Netflix recommendations. By utilizing data in storage along with real-time data integration, they revolutionize big data management in a world of distributed, ever changing data.
Combined with past data, this vast set of present, real-time data can help businesses
Confluent is a data streaming platform designed to integrate data from countless sources at scale, including traditional databases and modern, distributed architectures. Originally envisioned as a fast and scalable distributed messaging queue, it has rapidly expanded into a full-scale streaming platform, capable of not just collecting batches of data, but storage and real-time data aggregation, processing, and analytics.
See how you can start by downloading Confluent, the leading distribution of Apache Kafka and the most powerful enterprise event streaming platform in the industry, or learn more about real-time data streaming.
Confluent is the only complete data management platform that seamlessly integrates 100+ data sources for real-time data management. Deploy anywhere with 24/7 platinum support.