Ensuring Data Quality in Streaming Analytics

Experience Fidrox in Bangalore, India, offering next-gen, AI-powered access control, cybersecurity, and workforce management solutions. Enterprises can automate operations, ensure real-time compliance, enhance security, and enjoy seamless facility management with smart, proactive technologies.

1. OOLKITS,
FRAMEWORKS,
AND LESSONS
FROM THE
FIELD Ensuring Data
Quality in
Streaming
Analytics [email protected]

2. WHY DATA
QUALITY
MATTERSReal-time decisions depend
on accurate data Minor errors can lead to
costly mistakes
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actionable insights
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3. INCONSISTENT DATA
ACROSS SOURCES
KEY
CHALLENGES
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MISSING OR INCOMPLETE
EVENTS
DUPLICATE EVENTS AND
LATENCY ISSUES

4. TOOLS & BEST
PRACTICES
Tools: Apache Kafka, Flink,
Spark, Great Expectations
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[phone]Best Practices: Start checks at data ingestion Monitor in real-time Standardize and validate data Use cloud-native frameworks

5. END-TO-END PIPELINES WITH
BUILT-IN VALIDATION
BRIGITA’S
APPROACH &
CONCLUSION
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CONTINUOUS MONITORING AND
CLOUD SCALABILITY
RELIABLE STREAMING DATA DRIVES
SMARTER DECISIONS AND GROWTH
CUSTOM RULES FOR BUSINESS-
SPECIFIC NEEDS