This webinar discussed the unique requirements of modern data platform workloads – NoSQL databases, Hadoop and modern data warehouses. Specifically highlighting key issues in a AWS or Microsoft Azure infrastructure including tips on how to: - Optimize your data storage across different infrastructure tiers - Migrate data to the Cloud without completely forklifting your infrastructure - Minimize data recovery times from accidental data loss in the Cloud

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Cloud Data
Management
Made Easy

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Use Case #1: Backup and Recovery Entirely In The Cloud
NoSQL/Hado
op/EDW
Clusters
Backup
Cluster

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Use Case #2: Backup and Recovery From On Prem To
Cloud Object Storage
Production
Big Data
Clusters
On-Prem

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Use Case #3: Mirror Workloads To The Cloud For Rapid
Testing
Production
Big Data
Clusters
QA or
Analytics
Big Data
Clusters
Data Masking
Data Sampling
On-Prem

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Use Case #4: Migrate Entire Workloads To The Cloud
Production Big
Data Cluster
New Cloud-Based
Production
Big Data Cluster
Applications
1. Move data from on-prem cluster to
the Cloud
2. Perform last incremental update
and shut down old cluster
3. Point applications to new Cloud
cluster
3
1 2
On-Prem

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Use Case #5: Cloud to Cloud Migration
Original Big Data
Cluster
Migrated
Environment
Cloud Provider A Cloud Provider B

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Challenge #1: Correlation of Compute and Storage with
Big Data
Solution: Separate the two to ensure elastic
storage independence as data grows

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Challenge #2: Integrating With Cloud Object Storage
Traditional file
system APIs
don’t work with
file object
storage
PROBLEM
Deliver file
system
integration with
specific object
storage systems
SOLUTION

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Challenge #3: Cost of Bandwidth
How to reduce
bandwidth costs
while move
petabytes of
data
PROBLEM
Incremental-
forever data
movement
De-duplication
Compression
SOLUTION

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Challenge #4: Transparent Access To Data
Minimize burden
on users to know
details of data
locations &
movement
PROBLEM
Leverage a
unified
namespace for
data objects
across different
storage tiers
SOLUTION

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Challenge #5: Long Term Data Archiving
Tape is obsolete
PROBLEM
Create direct
integrations with
cloud based
archival
solutions like
Glacier
SOLUTION

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The Evolution of Data Management
THE NEXT
25 YEARS
THE
TRADITIONAL
WORLD
Data ManagementData Platforms

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The Talena Cloud Story
Runs On All Major Cloud
Platforms
Native Integration
With Cloud Object Storage
Support for Multiple
Big Data Platforms
Support For Multiple
Data Management Use
Cases
Backup & Recovery Test Data Mgmt
Cloud Migration
Mirroring/DR
Archiving
Runs On All Major Cloud
Platforms
Talena: A Software-Defined Data Management
Architecture

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Talena in Production
Test
Cluster
Research
Cluster
Talena GUI
Hadoop/Spark
Cluster
Cassandra
Cluster
Vertica
Cluster
Couchbase
Cluster
Talena
Smart Storage
Cluster
Oracle
Cluster

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Test
Cassandra
Talena GUI
Production
Cassandra
Talena
Smart Storage
Cluster
Customer Example: F500 Industrial Firm Protecting and
Mirroring Cassandra Data In AWS
32-node Cassandra database
with single 48TB table
Test Data Management
32-node Cassandra test
environment

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Q&A
 We’ll send you a link to our
eBook “Compendium of Data
Loss Horror Stories”
 Additional resources: talena-
inc.com/resources and
talena-inc.com/blog
 Ping us with any additional
questions: info@talena-
inc.com

17. © Talena Inc.17
Thank You