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◆Big Data

Big Data

Big Data is the handling and analysis of large and complex datasets beyond traditional processing capabilities.

Routing Notes

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What It Is

Big Data is the handling and analysis of large and complex datasets beyond traditional processing capabilities. On this site, it matters because it transfers across technical, operational, and venture work instead of staying trapped in one narrow context.

Learn more: https://en.wikipedia.org/wiki/Big_data

▪Amazon EMR

Amazon EMR

Amazon EMR is a managed big data platform for processing large datasets.

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▪Amazon Kinesis

Amazon Kinesis

Amazon Kinesis is a real-time data streaming platform for ingestion and processing.

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▪Apache Druid

Apache Druid

Apache Druid is a real-time analytics database optimized for fast queries.

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▪Apache Kafka

Apache Kafka

Apache Kafka is a distributed event streaming platform for real-time data pipelines.

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▪Apache Spark

Apache Spark

Apache Spark is a distributed data processing engine for large-scale computation.

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Preview for Audience Intent Data Model Development
▶Audience Intent Data Model Development

Audience Intent Data Model Development

Designed a unified data model to integrate any data source into a big data geospatial analytics program, handling over 100TB of data in GCS and BigQuery with...

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○Data Engineering and Big Data

Data Engineering and Big Data

Projects building data pipelines, warehouses, lakes, and large-scale analytics infrastructure.

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▶Data Reporting Transformation for Hotel Chain

Data Reporting Transformation for Hotel Chain

Solutions architect role redesigning a fundamentally flawed Pentaho ETL into a scalable AWS Redshift data warehouse for a hospitality leader. Identified root...

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Preview for Geospatial Human Risk Quantification
▶Geospatial Human Risk Quantification

Geospatial Human Risk Quantification

Using SafeGraph location observation data and Databricks/Spark, built a geospatial model to quantify human risk around utility infrastructure — helping...

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Preview for Proprietary Vendor Data Warehousing and Big Data Management
▶Proprietary Vendor Data Warehousing and Big Data Management

Proprietary Vendor Data Warehousing and Big Data Management

Managed proprietary and sensitive big datasets in Google Cloud using GCS, BigQuery, and Composer (Apache Airflow). Built Confluence documentation from scratch...

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Michael Orlando

Systems, ventures, writing, and public proof arranged so the right people can find the right next step.

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