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    • Home
    • Solutions
      • Product Engineering
      • Data Extraction & Collection
      • Data Management
      • Data Processing & Insights
      • Data Visualization
      • Data Operations & Performance Scaling
      • Proof of Concept Data Solutions
      • Data Analysis & Adhoc Querying
    • Industries
      • Retail
      • Healthcare
      • Fintech
      • Social Media
    • Resources
      • Case Studies
      • Whitepapers / Publications
      • Our Implementation Process
      • Articles
    • About Us
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      • Careers
    • Contact
    Big Data Query Example – How To Efficiently Query Massive Datasets With More Than 50 million Rows?

    Tag: PostgreSQL

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    How to query Datasets with more than 50 million rows

    Big Data Query Example – How To Efficiently Query Massive Datasets With More Than 50 million Rows?

    • February 15, 2018
    • Geetha Ramaswamy

    Big data query example - efficient & cost-effective ways to explore and query massive datasets! We queried 14 GB data file with 56 million rows! Learn how you can use Apache Spark and Amazon Web Services' S3 and Redshift to address the fast query performance that is imperative for exploratory data mining.

    Read More...
    15 February

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