Skip to main content
✨ Enabling Data Value Since 2005. ✨
  • Deutsch
  • English
Logo of dimajix with phonetics
Menu
  • Expertise
    • Data Engineering
    • Apache Spark & PySpark
    • Data Mesh
  • Academy
  • Blog
  • About dimajix
  • dimajix labs ⚗️
    Close Search
    Big Data Engineering — Best Practices Uncategorized

    Big Data Engineering — Best Practices

    This is part 1 of a series on data engineering in a big data environment.…
    KupferschmidtAdmin
    KupferschmidtAdmin16. October 2020
    Running Jupyter with Spark in Docker Uncategorized

    Running Jupyter with Spark in Docker

    most attendees of dimajix Spark workshops seem to like the hands-on approach I am offering…
    KupferschmidtAdmin
    KupferschmidtAdmin2. October 2017
    Jupyter Notebooks with PySpark in AWS Uncategorized

    Jupyter Notebooks with PySpark in AWS

    Amazon Elastic MapReduce (EMR) is something wonderful if you need compute capacity on demand. I…
    KupferschmidtAdmin
    KupferschmidtAdmin22. May 2017
    Running Spark and Hadoop with S3 Uncategorized

    Running Spark and Hadoop with S3

    Traditionally HDFS was the primary storage for Hadoop (and therefore also for Apache Spark). Naturally…
    KupferschmidtAdmin
    KupferschmidtAdmin5. May 2017
    Running PySpark on Anaconda in PyCharm Uncategorized

    Running PySpark on Anaconda in PyCharm

    Working with PySpark Currently Apache Spark with its bindings PySpark and SparkR is the processing…
    KupferschmidtAdmin
    KupferschmidtAdmin15. April 2017
    Building Druid for Cloudera 5.4.x Uncategorized

    Building Druid for Cloudera 5.4.x

    So the other day I wanted to investigate into using Druid as a reporting backend…
    dominik_adm1n
    dominik_adm1n23. March 2016

    Suche

    Kategorien

    • Uncategorized

    Archive

    • October 2020
    • October 2017
    • May 2017
    • April 2017
    • March 2016
    dimajix. We are here to support you. Contact

    Contact

    dimajix
    Dr. Kaya Kupferschmidt
    Freiherr-vom-Stein Straße 3
    60323 Frankfurt
    Germany

    Tel: +49 (0)69-71588909
    E-Mail: info@dimajix.de

    Our services

    • Implementation
    • Data Engineering & Data Science Academy
    Weitere Informationen zur IT-Haftpflicht von dimajix, Frankfurt

    Newest stories

    • Big Data Engineering — Best Practices
    • Running Jupyter with Spark in Docker
    • Jupyter Notebooks with PySpark in AWS
    • Running Spark and Hadoop with S3
    • Running PySpark on Anaconda in PyCharm

    © 2026 Dimajix. Design by rocket.works.   Impressum | Datenschutz

    • linkedin
    • github
    • medium
    • phone
    • email
    Close Menu
    ✨ Enabling Data Value Since 2005. ✨
    • Expertise
      • Data Engineering
      • Apache Spark & PySpark
      • Data Mesh
    • Academy
    • Blog
    • About dimajix
    • dimajix labs ⚗️
    • Deutsch
    • English