One Click Streaming Data Pipelines & Flows | Leveraging Kafka & Spark | Ido Friedman, Equalum

Jun 9, 2021Download as pptx, pdf0 likes302 views

The Apache Kafka ecosystem is very rich with components and pieces that make for designing and implementing secure, efficient, fault-tolerant and scalable event stream processing (ESP) systems. Using real-world examples, this talk covers why Apache Kafka is an excellent choice for cloud-native and hybrid architectures, how to go about designing, implementing and maintaining ESP systems, best practices and patterns for migrating to the cloud or hybrid configurations, when to go with PaaS or IaaS, what options are available for running Kafka in cloud or hybrid environments and what you need to build and maintain successful ESP systems that are secure, performant, reliable, highly-available and scalable.

One Click Streaming Data Pipelines & Flows
Leveraging Kafka & Spark
equalum.io

Ido Friedman
CTO | Equalum Seasoned data professional with more than
15 years of production experience as a:
• Data Architect
• Data Engineer
• CTO
Ido has vast hands-on experience in
numerous data technologies across many
industries.

Designed to execute Event Streaming at high scale, low latency and
high throughput
Powerful Open Source framework
Requires extensive knowledge of coding
Technical expertise is also a must (deployment, configuration and tuning etc).
Kafka is a powerful tool …BUT it is only one component of a full, Data Ingestion Solution
Installation
and
there’s
more…
Monitoring Configuring Tuning Connectors
The Kafka Landscape

When you allow Kafka to execute what it was designed for,
nothing more, nothing less…
Kafka’s full power can be unleashed.
Kafka is the premier Event Streaming Platform
Equalum extends Kafka to be a one click, end to end, data ingestion facilitator
But Kafka is NOT an end to end data ingestion platform.
YOU NEED TO LOOK FOR
UI based ETL
Capabilities
Comprehensive
and efficient
CDC Library
Replication
Groups to handle
Large Replication
Scenarios
Exactly Once,
end to end, from
source to target
End to End
System
Observability
& Alerting
Distributed
Processing
Framework

Equalum Architecture
SOURC
E
TARGE
T
AGENT
Exactly Once
Data
Exactly Once
Data
SQLite
User Data
Metadata
Driver Worker 1
Worker 2
Worker 3
ENGINE Job Manager | Flows Manager
Orchestration / UI
Exactly Once Data
Checkpoints
XSD
Metadata
Curator
Push GW
CollectD
© 2021 Equalum, Inc. All Rights Reserved

Introducing…
Unlimited Data Scaling powered by
the best processing frameworks
Real-time low latency using Change
Data Capture approach
Zero Coding enabling full self service
usage without IT changes
Bulk Replications of complex data sets
Real Time & Batch Processing
Fully Orchestrated Platform
Management, Monitoring, Alerting
& Validation
Modern Transformations
Supports Structured & Semi-
Structured Data Types
© 2021 Equalum, Inc. All Rights Reserved

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© 2021 Equalum, Inc. All Rights Reserved

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