Making Sense of Textract Output A Developer's Fast

Making Sense of Textract Output: A Developer’s Fast Track with the TRP Library

You know that feeling when you open a scanned document, and it’s like all the valuable information is just sitting there—but shattered across the page in a hundred disjointed fragments? Sure, traditional OCR gets you the text. But it doesn’t give you the map. It doesn’t tell you how the pieces fit together: what’s a table, what’s a form, what field goes with what value.

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The Evolving Data Landscape and Architectural Impe

The Evolving Data Landscape and Architectural Imperatives

Just as a 1920s city planner could not anticipate self-driving cars, today’s technical leaders face the challenge of designing data architectures for an uncertain future. Traditional data warehouses struggle to keep pace with exploding data sources and growing AI demands, forcing us to fundamentally rethink our approach to data management. This article explores not just what modern data architecture is, but why it’s crucial for business success in today’s rapidly evolving landscape.

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The Rise of Container-Native Workflow Orchestratio

Modern data engineering requires modern solutions. As data volumes explode and real-time processing becomes essential, traditional pipelines are reaching their limits. Enter container-native workflow orchestration with the Argo Project—a revolutionary approach to managing data flows in the cloud-native era.

The Data Deluge Challenge

Today’s businesses face an unprecedented challenge: the sheer volume, velocity, and variety of data is growing exponentially. Every online purchase, IoT interaction, and app usage generates data that requires near real-time processing to provide meaningful insights. Traditional data pipeline architectures—often monolithic, batch-oriented, and manually managed—simply cannot keep pace with these demands.

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The Kafka Ecosystem

This article appeared on LinkedIn on Feb 24th, 2018.

The Kafka Ecosystem - Kafka Core, Kafka Streams, Kafka Connect, Kafka REST Proxy, and the Schema Registry

Rick HightowerEngineering Consultant focused on AI

February 24, 2018

The core of Kafka is the brokers, topics, logs, partitions, and cluster. The core also consists of related tools like MirrorMaker. The aforementioned is Kafka as it exists in Apache.

The Kafka ecosystem consists of Kafka Core, Kafka Streams, Kafka Connect, Kafka REST Proxy, and the Schema Registry. Most of the additional pieces of the Kafka ecosystem comes from Confluent and is not part of Apache.

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Advanced SQL Techniques for ETL

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    CASE Statements
      Conditional Logic
      Data Standardization
      Conditional Aggregation
      FILTER Alternative
    GROUP BY Operations
      Data Aggregation
      Monthly Metrics
      Handling Nulls
      COALESCE Function
    Window Functions
      Partitioning
      RANK
      Rolling Aggregates
      Duplicate Detection
    SQL Functions
      LEAD & LAG
      ROW_NUMBER
      DENSE_RANK
      Cumulative Metrics
    Table Partitioning
      Performance Optimization
      Date-Based Partitioning
      Query Efficiency
      Scalability

Advanced SQL Techniques for ETL

• CASE Statements with conditional logic, standardization, and FILTER alternatives
• GROUP BY Operations including aggregation, metrics, and null handling
• Window Functions with partitioning, ranking, and duplicate detection
• SQL Functions like LEAD(), LAG(), and ROW_NUMBER()
• Table Partitioning for performance and scalability

Ever wrestled with massive datasets using procedural scripts? You know that feeling—like moving a mountain with a teaspoon. Transform that struggle into power with advanced SQL techniques that turn hours into minutes.

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