+ All Categories
Home > Technology > DataStax: Steps to successfully implementing NoSQL in the enterprise

DataStax: Steps to successfully implementing NoSQL in the enterprise

Date post: 20-Feb-2017
Category:
Upload: datastax-academy
View: 377 times
Download: 0 times
Share this document with a friend
17
Steps to successfully implementing NoSQL in the enterprise
Transcript

Steps to successfully implementing NoSQL in the enterprise

1 The Elephant in the room

2 Major Pivots to consider

3 Resiliency, Scale and Upgrades

4 Security

5 Multi-Model Platform

7 Conclusion

2 © 2015. All Rights Reserved.

©2015 DataStax Confidential. Do not distribute without consent. 3

The elephant(s) in the room

©2015 DataStax Confidential. Do not distribute without consent. 4

A sane landscape view

OLTP OLAP S

cale

, Spe

ed, F

lexi

bilit

y

SLAs, Response times, Data Sets

2000's

2015

Resiliency

©2014 DataStax Confidential. Do not distribute without consent.

H/W Stream Processors

Operational Readiness

Dat

a S

et S

ize

Operational Analytics

Exploratory Analytics

Non Linear Innovation

The elephant's place

©2015 DataStax Confidential. Do not distribute without consent. 6

Pivots to consider

TCO per feature for your use case

over a 3-5 year duration

Geo Resiliency

7

OR

©2015 DataStax Confidential. Do not distribute without consent.

San Francisco

New York

Stockholm

Linear Scaling

©2015 DataStax Confidential. Do not distribute without consent.

http://www.datastax.com/apache-cassandra-leads-nosql-benchmark

End Point Report Excerpt: Balanced Read/Write YCSB Test

Upgrades & (cloud) Reboots

©2015 DataStax Confidential. Do not distribute without consent.

Security

©2015 DataStax Confidential. Do not distribute without consent.

Comprehensive Security Suite

© 2015. All Rights Reserved. 11

LDAP/AD

KMIP

The road to Multi Model

© 2015. All Rights Reserved. 12

Application Application

Application (OLTP and OLAP)

Data Access Abstraction

RDBMS / SQL Polyglot Persistence

Multi Model

DSE Multi Model

© 2015. All Rights Reserved. 13

Multiple (polygot) Models exposed via cohesive interaction mechanisms, (APIs) for OLTP and OLAP workloads, (mixed workload) with a unified persistence layer, (Apache Cassandra) providing GR, always on characteristics within a TCO efficient data base platform for a variety of use cases

Cassandra

©2015 DataStax Confidential. Do not distribute without consent. 14

Conclusion •  TCO per feature for your use case over 3-5 year duration

•  One size (elephant) doesn't fit all

•  Business Flexibility – Scale up/down linearly on demand

•  Comprehensive Security, Enuf said! •  Multi Model platform, which isn't niche

©2015 DataStax Confidential. Do not distribute without consent. 15

What about OSS?

©2015 DataStax Confidential. Do not distribute without consent. 16

Avoid arbitrary preferences for (or against) OSS based on ideology or unproven and wishful thinking expectations; instead, consider OSS on the merits of the software compared with the alternatives (closed source or homegrown), based on fitness of purpose, quality, and sufficient technical and legal risk management (self-supported or third party).

- Gartner Source: Gartner – Understanding the Challenges of Open Source Software

Thank you


Recommended