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Cover image for Real-Time Analytics Platform on AWS
Real-Time Analytics Platform on AWS designed to ingest, process, and visualize high-volume streaming data from IoT devices and application logs. Ingestion: Device telemetry (IoT Core) and application logs are published into Amazon Kinesis Data Streams, followed by lightweight routing and enrichment using AWS Lambda. Processing & Storage: Amazon EMR performs heavy data transformations via Spark Structured Streaming, landing the curated output into Amazon S3 as partitioned Parquet files. AWS Glue then handles batch transformations before loading the data into Amazon Redshift for the analytics workload. Orchestration & Serving: AWS Step Functions coordinate the batch processing workflows. Finally, Amazon QuickSight generates actionable business dashboards while Amazon CloudWatch monitors operational metrics and alarms
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Cover image for Beyond the 5 Stars: The Unseen Story in Amazon Alexa Reviews...
Beyond the 5 Stars: The Unseen Story in Amazon Alexa Reviews Everyone talks about how much people love their Alexa devices. The overall ratings are stellar (4.46/5 avg.), and yes, a dominant 76.35% of reviews are positive. But the real story is often in the shadows of that success. Despite 76% positive sentiment, 1 in 5 reviews are neutral/negative. Even 1-star reviews contain words like "Love," showing frustration from disappointed fans. The word cloud tells the real story: alongside "Great" and "Easy" sit "problems," "doesn't," and "disappointed." Mass appeal can mask specific, recurring failures. True excellence solves for the criticism hidden in the praise. #AmazonAlexa #VoiceTech #CustomerFeedback #SentimentAnalysis #DataAnalytics #ProductManagement #Tech #UserExperience #DataStorytelling #PowerBI
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