Datastax enterprise presentation

DataStax Enterprise

DuyHai DOAN

Technical Advocate

[email protected]

Cécilia Gomis

Enterprise Sales Executive

[email protected]

+33 6 31 922 187

1 Technology Overview

2 DataStax Enterprise

3 Questions?

2

The New Database MarketLegacy Post Relational

Tran

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iona

l An

alytic

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DataStax Use Cases

MDM: Customer 360, Product Catalog Internet of Things (IoT) and Time Series Personalization and Recommendation Fraud Detection List Management Messaging Inventory Management Authentication / Sessions



3 Questions?

5

6

DataStax EnterpriseThe database for

cloud applications Requirements of Cloud Applications Numerous Endpoints Geographically Distributed Continuously Available Instantaneously Responsive Immediately Decisive Predictably Scalable

•  Ready and certified for production environments. •  Rigorous certification process: •  Extensive quality assurance testing. •  Performance and scale tests with 1,000 node clusters. •  3rd party software validation. •  No TICK TOCK •  Certified for key supported platforms.

DataStax Enterprise – Certified Cassandra

•  Visual, browser-based user interface. •  Installation, configuration, and administration tasks carried out in point-

and-click fashion. •  Visually supports DataStax Automatic Management Services. •  Secure role based access control •  Life Cycle Management

•  Services included: •  Repair service •  Capacity service •  Performance service •  Best Practice service •  Backup/Restore service (Point in Time Recovery)

DataStax OpsCenter

•  24x7x365 •  Production and non-production environments. •  Health checks for assistance on architecture,

design, and tuning. •  Certified service packs •  Hot-fix support and back porting of bug fixes

DataStax Expert Support

•  Allows one-way replication from “edge” cluster to another, centralized hub cluster.

•  Ideal for retail, energy, and other “edge of the internet of things” use cases.

DSE Advanced Replication

•  Able to automatically move data to different storage media based on defined criteria.

•  Helps reduce storage costs by relegating lesser-used or older data to less expensive storage devices.

•  Works on a granular per-row basis.

DSE Tiered Storage

•  Allows for simple deployment of multiple DSE instances on a single machine.

•  Ensures large hardware resources are effectively utilized for database applications.

•  Helps reduce hardware cost.

DSE Multi-Instance

•  Transparent Data Encryption of ALL DSE data at rest •  Role based access control •  Unified authentication: Allows multiple security authentication protocols (e.g.

Kerberos, LDAP, Active Directory, internal Cassandra) to be used on the same database cluster.

•  Data Auditing

DSE Enterprise Security

•  Brings all the goodness of Cassandra to an in-memory database. •  Simple to use. •  In-Memory tables look/act like any Cassandra table. •  Great for use cases requiring low latency reads. •  Can be combined with in-memory analytics for a full in-memory

transactional/analytical processing framework.

DSE In-Memory Option

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•  DSE Search inherits all the power and capabilities of Solr and builds on top of it to create even more powerful enterprise search functionality

•  Built-in scale out and continuous availability and multiple data centers support

•  Automatic indexing when inserting and updating in Cassandra •  Search Capabilities integrated into Cassandra Query Language

•  Multi-criteria •  Full text •  Geospatial

•  Faceting •  Auto-completion

DSE Search

select * from client_profile where solr_query=' { "q": "last_name:PON* OR first_name:vinc*" } ' ;

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•  Embedded Spark •  ETL workloads, Real-Time Streaming Analytics, SQL Operational Analytics on

Cassandra.

•  DSE benefits: •  Spark Master HA •  Integrated security •  Support

DSE Analytics

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•  Inspired by TitanDB graph database with the Aurelius acquisition in 2015 •  Fully embedded into DataStax Enterprise •  Leverage DSE availability and scalability •  Build on Apache Tinkerpop graph framework •  Leverage DSE embedded Search and Spark

DSE Graph

COUNTRY

ADDRESS

CUSTOMER

Rated

ORDER

PRODUCT

Line ItemShipping Address

Billing Address

Address

TAG

g.V().has("name","gremlin"). repeat(in("manages")).until(has("title","ceo")). path().by("name") >> The management chain from Gremlin to the CEO

DataStax EnterpriseCompany Confidential

Offline Application

External Spark or Hadoop Cluster

Spark/

Hadoop

RDBMS

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Real Time Analytics

Batch Analytics

Real Time

Search

Certified Apache Cassandra No Single Point of Failure | Linear Scalability | Always-On

DSE – Fully Integrated Technology StackEase of

Use

DataStax Studio

OpsCenter Services

Monitoring, Operations

Low Latency

In-Memory

Data DSE

Graph

Graph Database

Operational Resiliency

Document Store

Advanced Security JSON

Analytics Transformations

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DataStax Enterprise

The database for cloud applications



3 Questions?

20

Thank you! DuyHai DOANTechnical Advocate

[email protected]