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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:
Most organizations are facing an explosion of data coming from new applications, new business opportunities, IoT, and more. The ideal architecture most envision is a clean, optimized system that allows businesses to capitalize on all that data.
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
Para resultar relevantes en el mundo digital actual, las empresas deben ofrecer experiencias realmente excepcionales a sus clientes y conseguir que las operaciones de su back end sean data-driven.
Al integrar los datos históricos y los datos en tiempo real en una única fuente central de información, Confluent hace que reaccionar, responder y adaptarse en tiempo real a datos continuos y en constante cambio sea mucho más fácil. Desarrollado por los creadores originales de Apache Kafka, Confluent ha creado una categoría completamente nueva de aplicaciones event-driven mucho más modernas que te permiten acceder a pipelines de datos universales y hacer realidad nuevos casos prácticos data-driven con la escalabilidad, seguridad y rendimiento que tu empresa necesita.
Walmart, Expedia y Bank of America ya utilizan Confluent porque, a día de hoy, es la única plataforma completa de streaming de datos que está diseñada para transmitir datos en cualquier nube y a cualquier escala.
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Tecnologías como Apache Kafka y Confluent facilitan el streaming y el análisis en tiempo real.
Mediante la integración de datos históricos y en tiempo real en una única fuente central de información, Confluent facilita la creación de una categoría completamente nueva de aplicaciones modernas event-driven, la obtención de un canal de datos universal y el desbloqueo de potentes casos de uso de data-driven con expansibilidad, rendimiento y fiabilidad completos.
Desde el comercio minorista, la logística, la fabricación y los servicios financieros hasta las redes sociales en línea, Confluent permite centrarse en obtener valor empresarial de los datos en lugar de preocuparse por la mecánica subyacente de cómo se trasladan, mezclan, intercambian y clasifican los datos entre varios sistemas.
Walmart, Expedia y Bank of America lo utilizan. Hoy en día, Confluent es el único software completo de streaming data se diseñó para transmitir datos de cualquier fuente, a cualquier escala. Se fundó por los creadores originales de Apache Kafka, es la plataforma de transmisión de datos más potente. Es capaz, no solo de la ingesta de big data, sino también del procesamiento en tiempo real, la integración global de datos y el análisis en transmisión.
Consulta aquí cómo puedes empezar en cuestión de minutos con una prueba gratuita o descubre cómo Confluent impulsa a las empresas con datos en tiempo real.
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.