In the current big data revolution large volumes of data, heterogeneous and from different sources, require new storage and analysis solutions. It is a new scenario full of constant innovations, in which efficient storage technologies and systems are imposed, capable of processing efficiently, while providing efficiency and low cost.
Within this context Google Cloud Bigtable is the cloud Big Data management service proposed by the internet giant to store and process Big Data in a way “fully managed”. Designed to extract value from Big Data through a NoSQL databaseNoSQL databases are data management systems that are characterized by their flexibility and scalability. Unlike relational databases, use unstructured data models, as documents, key-value or graphics. They are ideal for applications that require handling large volumes of information and high availability, such as in the case of social networks or cloud services. Its popularity has grown in... scalable, it is capable of working with large amounts of digital information from web and mobile applications and, in summary, the Internet of Things (IoT).
The service is ideal for projects that require terabytes and petabytes of data for storage and analysis. Fundamentally, it is a cloud Big Data service based on the technology that Google has been usingTherefore, in reality “it is not a radically new product”, explains Tom Kershaw, Google product management director.
Talking about comparative advantages, Kershaw says that when Cloud Bigtable applications grow, “it is not necessary to sacrifice speed, scalability or cost-effectiveness”. Specific, speed this seems to be one of its strengths, since the company claims that Bigtable is faster than any other NoSQL data store, with lower read and write latency.
Hadoop in the cloud
In the case of a Big Data analytics service, its Compatibility with Hadoop, incluidos los desarrollos open source que conforman su rico ecosistema para el almacenamiento, procesamiento y administración de big data.
In reality, dado que los datos se pueden leer y escribir usando la API para Apache HBaseHBase is a NoSQL database designed to handle large volumes of data distributed in clusters. Based on the column model, Enables fast, scalable access to information. HBase easily integrates with Hadoop, making it a popular choice for applications that require massive data storage and processing. Its flexibility and ability to grow make it ideal for big data projects...., este modo de acceso facilita el uso de Hadoop. At the same time, para evitar problemas de seguridad, el servicio cifra los datos y gestiona su replicationReplication is a fundamental process in biology and science, which refers to the duplication of molecules, cells or genetic information. In the context of DNA, Replication ensures that each daughter cell receives a complete copy of the genetic material during cell division. This mechanism is crucial for growth, Development and maintenance of the organisms, as well as for the transmission of hereditary characteristics in future generations.... para realizar copias de seguridad.
El uso del servicio está orientado al análisis de big data generados por sensores, redes sociales y otras fuentes de información dentro del IoT con el fin de descubrir tendencias que ayuden a las instituciones en la toma de decisiones estratégicas.
Google Cloud Bigtable es compatible con otros servicios de la compañía on the cloud, como Google BigQuery o Google Cloud Dataflow e integra algunos de los servicios antiguos de la compañía, como la búsqueda de Google, Google Analytics o Gmail.
El servicio es en este momento solo disponible en versión beta y su precio depende de diferentes factores, como espacio de almacenamiento, uso de la red, cantidad de nodos requeridos, por lo que el costo variará dependiendo de las necesidades específicas que se tengan.
Image source: ddpavumba / FreeDigitalPhotos.net
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