Cloudera Enterprise in the Cloudcustomers.cask.co/rs/882-OYR-915/images/BDAM...

1© Cloudera, Inc. All rights reserved.

Hadoop in the CloudRyan Lippert, Cloudera Product Marketing@lippertryan


3© Cloudera, Inc. All rights reserved.Cloudera — Confidential


Drive Customer

Insights

Improve Product & Services Efficiency

Lower Business

Risk


The world’s largest taxi

company owns ZERO

vehicles.

The world’s largest

accommodation provider owns

ZERO real estate.

The world’s most popular

media owner creates ZERO

content.

The world’s leading

music platform owns no

music.


Our relationship with datais changing


What’s Driving Hadoop to the Cloud?Enterprise customers using cloud for big data analytics

Hadoop deployments in cloud are accelerating:

● Executive mandate: minimize on-prem datacenter footprint

● Perceived lower overall TCO

● Increased agility: end-user self-service

● Elasticity: optimize infrastructure usage



Common workloads in the cloud

Only pay for what you need, when you need it

▪ Transient clusters▪ Elastic workload▪ Object storage centric▪ Cloud-native deployment

ETL/Modeling(Data Engineering)

App Delivery(Operational

Database)

Reduce Operating Costs New Insights, New Revenue Run Without Risk

BI/Analytics(Analytic Database)

Explore and analyze all data, wherever it lives

▪ Transient or Persistent clusters▪ Sized to demand▪ HDFS or object storage▪ Lift-and-shift or cloud-native

deployment

Enterprise-grade to protect your business, no matter what

▪ Fixed clusters▪ Periodic sync▪ All HDFS storage▪ Lift-and-shift deployment


Crunching 1,000+ Business Metrics per Customer with Sub-Second Responses

• Enables granular targeting of customers

• 50% reduction in marketing cost execution at one bank with focus on high potential customers

• Stores and processes thousands of critical events at scale at a low cost

• Provides flexibility, agility to support customer needs with Cloudera on Amazon Web Services and on premises

CUSTOMER 360

FINANCIAL SERVICES» BEHAVIORAL ANALYTICS» PREDICTIVE ANALYTICS» SCALABLE PROCESSING







Database)





deployment




Measure user interaction across the ecosystem, help direct R&D and development spend• Virtuous cycle: Identify features that

facilitate sharing of content that drive new customers

• Real-time streaming and batch data from product logs, web analytics, channel data and ERP

• Impala connects to third-party data wrangling and BI tools for fast reporting

MANUFACTURING» CUSTOMER 360» DATA DRIVEN PRODUCTS» DATA DRIVEN SERVICES

DATA-DRIVENPRODUCTS







Database)





deployment




REDUCE RISK

COMPLIANCE» DATA INGEST» STREAM PROCESSING» EVENT MONITORING

Process 30-billion market events per day to build a holistic picture of US market activity• Market event graph database

built on Cloudera on AWS• Rapid, interactive access to 2+

years’ data • Operational efficiencies

resulting from the platform’s scalability result in net annual savings of $20 million


Key Requirements of Big Data in the Cloud

Size compute and storage independently, grow and shrink clusters dynamically, and pay only for what you use on ad-hoc, transient workloads

Preserve business flexibility and data portability and minimize cloud lock-in by running in any one of the three major public cloud providers or in private cloud

Reduce risk with comprehensive manageability, availability, security, and governance required for production big data workloads

Elastic Hybrid/Multi-Cloud Enterprise Grade


How do you do Hadoop in the cloud?


Embrace Transience for Lower Costs

Decoupled Storage and Compute for Elastic Scale

Patterns of Cloud-Native ApplicationsFlexibility, Self-Service Models, and New Cost Dynamics

Compartmentalize for Greater Isolation

Object Store

COMPUTE

1hr

SPIN UP SPIN DOWN

Object Store


Persistent application

DataSource

s

Real-TimeServing

Kafka/Flume

Spark Streaming

HBase orImpala/Kudu (beta)

Kafka

Application

S3

Hive/Spark/HoS

Impala

Analytics

Batch Data Transformations

Streaming Architecture


Transient application

DataSource

s

Real-TimeServing

Kafka/Flume

Spark Streaming

HBase, orImpala/Kudu

(beta)

Kafka

Application

S3

Hive/Spark/HoS

S3


Batch Analytics

Impala

BI & Analytics


Combining the two: lambda architecture

DataSource

s

Real-TimeServing

Kafka/Flume

Spark Streaming

HBase orImpala/Kudu (beta)

Kafka

Application

S3 S3

Hive/Spark/HoS


Impala

BI & Analytics


Director Provisioning: Cluster Lifecycle ManagementSpin up, grow & shrink, terminate CDH clusters that read/write to object store

Easy Administration• Dynamic cluster lifecycle management• Single pane of glass: multi-cluster view

Flexible Deployments• Multi-cloud: AWS, Azure, GCP• Fast cluster deployments• Scaling of CDH clusters • Spot instance support

Enterprise-grade• Integration across Cloudera Enterprise• Management of CDH deployments at scale

Cloudera Director


Get started with Cloudera Enterprise in the cloud

Deploy and manage Cloudera Enterprise in the cloud environment of your choice

Deploy an enterprise data hub on AWS

Provision and deploy Cloudera Enterprise on the Azure Marketplace

Cloudera Director AWS Quickstart Azure Marketplace

http://www.cloudera.com/director

https://aws.amazon.com/quickstart/

https://azure.microsoft.com/en-us/marketplace/partners/cloudera/clouderaedhcloudera/


Thank You

Date post:	23-Mar-2020
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