The document presents SnapLogic Live, highlighting its elastic integration platform for big data integration, with a focus on various integration use cases. It discusses the ability to acquire, access, manage, and visualize data from multiple sources both on-premises and in the cloud. The session features demonstrations, reflections on SnapLogic's modern architecture, and opportunities for audience engagement.

1. SnapLogic Live: Big Data Integration

2. Welcome to SnapLogic Live
In 30 minutes we’ll:
• Review specific topics and the role SnapLogic plays
• Dive into demonstrations of our Elastic Integration Platform
• Open it up for questions and discussion
Today’s featured presenter: Rich Dill
Today’s featured topic: Big Data Integration

3. Anything
apps | APIs | things | data
SnapLogic: Unified Platform for Data and Application Integration
Anytime
batch | streaming | real-time
Anywhere
on premises | in the cloud

4. Common SnapLogic Elastic Integration Use Cases
Hybrid
Application
Integration
Cloud Data
Warehouse/Anal
ytics
Big Data Ingest-
Transform-
Deliver
RESTful
Retire Legacy
Integration
Platforms

5. z
Data
Acquisition
Data Access
z
Data
Management
Add information
and improve
data
Spark
Python
Scala
Java
R
Pig
Collect and
integrate data
from multiple
sources
HDFS
AWS S3
MS Azure Blob
On Prem Apps
and Data
• ERP
• CRM
• RDBMS
Cloud Apps
and Data
• CRM
• HCM
• Social
IoT Data
• Sensors
• Wearables
• Devices
Lakeshore
Data Mart
• MS Azure
• AWS
Redshift
BI /
Analytics
• Tableau
• MS
PowerBI /
Azure
• AWS
QuickSight
Organize and
prepare data
for
visualization
HDFS
AWS S3
MS Azure Blob
Hive
Batch
Streaming
Schedule and manage:
Oozie, Ambari
Kafka, Sqoop, Flume
Real-time
Impala, HiveSQL,
SparkSQL
Data Lake Components without SnapLogic

6. z
Data
Acquisition
Data Access
z
Data
Management
The Modern Data Lake
Powered by SnapLogic
On Prem Apps
and Data
• ERP
• CRM
• RDBMS
Cloud Apps
and Data
• CRM
• HCM
• Social
IoT Data
• Sensors
• Wearables
• Devices
Lakeshore
Data Mart
• MS Azure
• AWS
Redshift
BI /
Analytics
• Tableau
• MS
PowerBI /
Azure
• AWS
QuickSight
Batch
Streaming
Schedule and manage:
SnapLogic
Real-time
Sort,
Aggregate,
Join, Merge,
Transform
SnapLogic
abstracts and
operationalizes
with
SnapReduce or
Spark pipelines
Collect and
integrate data
from multiple
sources
SnapLogic
pipelines with
standard mode
execution
Organize and
prepare data
for
visualization
SnapLogic
pipelines with
standard mode
execution
Pipeline
Pipeline
Pipeline
Pipeline
Pipeline
SnapLogic and the Data Lake

7. SnapLogic’s Modern Architecture: Hybrid and Elastic
Streams: No data is
stored/cached
Secure: 100%
standards-based
Elastic: Scales out &
handles data and
app integration use
cases
Metadata
Data
Databases
On Prem
Apps
Big Data
Cloud Apps
and DataCloud-Based Designer, Manager,
Dashboard
Cloudplex
Groundplex
Hadooplex
Sparkplex
Firewall

8. Demonstration:
Snaplogic.com/live

9. Discussion
snaplogic
Unified Platform Self-Service UX
Modern Architecture Connected: 350+ Snaps