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Explore CDP. Take it for a test drive.
Get started today
MANAGE AND SECURE THE DATA LIFECYCLE IN ANY CLOUD AND DATA CENTER
* DataFlow
* Data Engineering
* Data Warehouse
* OpDB
* Machine Learning
* SDX
* Control Plane
DataFlow Data Engineering Data Warehouse OpDB Machine Learning SDX Control Plane
DATAFLOW: COLLECT FLOWS, STREAMS, AND ANALYTICS FOR THE LIFECYCLE
Easily ingest, route, manage, and deliver data-at-rest and data-in-motion from
the Edge, any cloud, or the data center to any downstream system with built-in
end-to-end security and provenance. CDP Data Hub uses Apache NiFi for flow
management and Apache Kafka for streams messaging—both part of Cloudera
DataFlow, a comprehensive, real-time streaming data platform that delivers key
insights and immediate actionable intelligence.
RELATED VIDEO
DATA ENGINEERING: ENRICH, REFINE, STRUCTURE, AND PREPARE DATA FOR THE LIFECYCLE
Cloudera Data Engineering helps enrich, transform, and cleanse data, making it
easy to create, execute, and manage end-to-end data pipelines. It executes a
wide range of data processing workloads in an extremely high-performance manner
including batch and real-time stream processing using Apache Spark and Spark
Streaming, supported by multiple storage options including Apache HBase, Apache
Kudu, and cloud object storage.
RELATED VIDEOS
DATA WAREHOUSE: PROVIDE SELF-SERVICE ACCESS TO REPORTING FOR THE LIFECYCLE
Deliver business insights on massive amounts of verified data to thousands of
users at extreme speed and scale without compromising compliance and blowing
budgets. Seamlessly and securely moving on-premises workloads to any cloud,
Cloudera Data Warehouse outperforms shadow IT by keeping up with evolving
business requirements and meeting SLAs with self-service access to reports,
dashboards, and advanced analytics.
RELATED VIDEOS
OPERATIONAL DB: SERVE ALL TYPES OF DATA FROM ALL SOURCES FOR THE LIFECYCLE
Cloudera Operational Database serves structured data alongside unstructured data
within a unified end-to-end open-source platform, ensuring decision making is
driven by stream processing and real-time analytics on continuously changing
data. Users can serve real-time data at scale, with high concurrency and low
latency, and data science at scale in order to easily build, score, and deploy
machine learning models into production.
RELATED VIDEOS
MACHINE LEARNING: OPERATIONALIZE PREDICTING FOR THE LIFECYCLE
Accelerate enterprise data science from research to production at scale with
self-service, collaborative workflows for building and operationalizing machine
learning models. Using Python, R, and Scala directly in the web browser,
Cloudera Machine Learning delivers a powerful self-service experience for data
science teams to develop and prototype new machine learning capabilities and
easily deploy them to production.
RELATED VIDEOS
SDX: ENSURE SECURITY, GOVERNANCE, AND LINEAGE ACROSS THE LIFECYCLE
Cloudera SDX (Shared Data Experience) provides an enterprisewide data security
and governance fabric that binds the data lifecycle. SDX enables data and
metadata security and governance policies to be set once and automatically
enforced across the data lifecycle in hybrid, private, or multi-cloud
environments, delivering safe and compliant data access across the organization.
RELATED VIDEOS
CONTROL PLANE: MANAGE CDP SERVICES WITH COMMON TOOLS ACROSS THE LIFECYCLE
Manage, monitor, and orchestrate all CDP services from a single pane of glass
with consistent security and governance. Consisting of Workload Manager,
Replication Manager, Data Catalog, and Management Console, Control Plane
delivers a powerful set of tools that provide data management, workload
analysis, data movement and data discovery capabilities that enable
multi-functional analytics, anywhere.
RELATED VIDEOS
TAKE CDP FOR A TEST DRIVE
TRY AN INTERACTIVE TOUR OF CLOUDERA DATA PLATFORM
EXPERIENCE THE PLATFORM WITHOUT THE OVERHEAD: NO CLOUD ACCOUNT, DATA SET, OR
SETUP REQUIRED
RUN QUERIES WITHIN THE EXPERIENCE OR ON YOUR OWN USING THE SAMPLE DATA SET
Get started
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