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CLOUDERA
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WHY CHOOSE CLOUDERA
Cloudera is a leading enterprise data platform that empowers organizations to manage and analyze large-scale data using powerful technologies like Hadoop. As one of the pioneers in Hadoop Cloudera solutions, it provides a robust ecosystem through the Cloudera Data Platform (CDP), enabling secure and scalable data management across on-premises and cloud environments. With tools such as Cloudera Manager, businesses can streamline their data workflows, ensuring efficient deployment and monitoring. In regions like Cloudera Indonesia, enterprises are increasingly adopting Cloudera Big Data solutions to gain insights and drive innovation. The platform also supports hybrid and multi-cloud strategies through Cloudera Cloud, offering flexibility and scalability. To ensure quality implementation, Cloudera Certification validates technical expertise, while Cloudera Support delivers enterprise-grade assistance for smooth operations and continuous improvement.
FEATURED
CLOUDERA PRODUCT
Cloudera delivers a unified data platform built on Hadoop, designed to handle massive data workloads securely and efficiently. With the Cloudera Data Platform (CDP), businesses can manage, process, and analyze big data across hybrid and multi-cloud environments. Integrated tools like Cloudera Manager simplify system operations, while Cloudera Cloud enables scalable deployments with full data lifecycle control. Ideal for enterprises in regions such as Cloudera Indonesia, this solution supports real-time analytics, machine learning, and compliance-ready data governance. Backed by professional Cloudera Support and industry-recognized Cloudera Certification, Cloudera is the trusted choice for organizations embracing Hadoop Cloudera technology and advanced Cloudera Big Data strategies.

CLOUDERA AI
Cloudera AI empowers enterprises to build and scale AI and machine learning models using secure, governed data from the Cloudera Data Platform. Integrated with Hadoop Cloudera, it streamlines data science workflows across cloud and on-prem environments, driving faster insights from big data.
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CLOUDERA DATAFLOW
Cloudera DataFlow is a scalable, real-time data streaming and processing platform that enables secure data movement across hybrid and multi-cloud environments. Built on Apache NiFi and integrated with Cloudera Data Platform, it simplifies the flow of big data from edge to enterprise for analytics, AI, and real-time insights.
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CLOUDERA DATA HUB
Cloudera Data Hub is a flexible data service within the Cloudera Data Platform that enables you to deploy and manage Hadoop-based workloads with ease. It supports a wide range of analytics use cases—batch, real-time, and machine learning—across cloud and on-prem environments, accelerating big data innovation at scale.
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CLOUDERA DATA WAREHOUSE
Cloudera Data Warehouse is a high-performance, cloud-native analytics service built on the Cloudera Data Platform. It delivers scalable, secure, and cost-efficient SQL analytics on big data, enabling self-service BI, real-time insights, and seamless integration with Hadoop Cloudera environments.
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CLOUDERA DATA ENGINEERING
Cloudera Data Engineering provides a powerful, cloud-native platform for building, scheduling, and automating data pipelines at scale. Integrated with the Cloudera Data Platform, it enables teams to process big data efficiently using Apache Spark and Hadoop, ensuring reliable and fast data delivery for analytics and AI.
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CLOUDERA OPERATIONAL DATABASE
Cloudera Operational Database is a high-performance, scalable NoSQL database built for real-time applications. Powered by Hadoop and integrated into the Cloudera Data Platform, it supports low-latency read/write access to big data, enabling fast, reliable operations for modern data-driven services across cloud and on-prem environments.
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CLOUDERA STREAMING
Cloudera Streaming is a real-time data ingestion and processing solution within the Cloudera Data Platform, built on technologies like Apache Kafka and NiFi. It enables fast, reliable data streaming from edge to cloud, supporting real-time analytics, big data pipelines, and AI-driven decisions in hybrid environments.
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