Find out about the tools need to stream data from different types of streams and then do real-time analysis on them.

1. Real-time Centralized Data
Platform
Using Spark and Apache Cassandra

2. Business Platform Success
We design, build, and manage business
platforms by leveraging DataStax,
Sitecore, Salesforce, Quickbooks and
other cloud software.

3. Use Cases
● Stream data inputs from different types of streams such
as Rabbit, Kinesis, Kafka, SQS...etc into one
standardized platform.
● Conduct streaming analytics / data processing on this
data in realtime.
● Batch process data in or out from various sources such
as S3, SQL, Dynamo, etc.

4. Spark Datasource / App / Environments
● DSE Analytics
Runs
Spark +
Cassandra
On the Same
Nodes

5. ● Real-time Processing
for Streams
● Realtime Structured
Streaming or Batch
Processing for
SQL/CSV/etc.
● Real-time availability
to other systems.

6. Microservice
● Segment Services by
○ Datacenter
○ Keyspace
○ Table
● Depending on Scalability Needs

7. Message Assurance
● One Cluster
● 2 Virtual Machine Data Centers
● 1 Kubernetes Container Datacenter
● VM DCs have RF=3 for Stability
● K8S DC has RF=2 for Speed
● Allows for Speed + Stability at Scale

8. Other Patterns
● ETL on Spark
○ Streaming ETL w/ Structured Streaming
○ Batch ETL w/ all Data Sources
● API Platforms on Cassandra
○ Dreamfactory
■ Generated API Layer
○ MediaWiki RESTBase
■ API CACHE
■ Mimics Dynamo/Google Storage
○ Aerobase UnifiedPush Server
■ Back end as a Service
■ Implement Pub/Sub

9. Data & Analytics
Cassandra, DataStax, Kafka, Spark
Customer Experience
Sitecore
Information Systems
Salesforce, Quickbooks, and more
www.anant.us | solutions@anant.us | (855) 262-6826
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