Hub
  • Software
  • Blog
  • Forum
  • Events
  • Documentation
  • About KNIME
  • KNIME Hub
  • Search

69 results

Filter
Spark
Big Data Hive Hadoop Best practices Data engineer
+2
  1. Go to item
    Workflow
    A meta collection about KNIME and performance and performance tuning and some problems
    Knime Performance Slow
    +23
    A meta collection about KNIME and performance and performance tuning and some problems
    mlauber71 > Public > _knime_performance_and_tuning
    3
  2. Go to item
    Workflow
    Spark Compiled Model Predictor
    Spark Hadoop Big Data
    This workflow demonstrates the usage of the Spark Compiled Model Predictor node which converts a given PMML model into machine co…
    knime > Examples > 10_Big_Data > 02_Spark_Executor > 03_PMML_to_Spark_Comprehensive_Mode_Learning_Mass_Prediction
    1
  3. Go to item
    Workflow
    Movie Recommendation Engine with Spark Collaborative Filtering
    Retail Association rules Recommandation engine
    +10
    Creates a Recommendating Engine using Spark and Big data nodes on movie rating data.
    knime > Examples > 10_Big_Data > 02_Spark_Executor > 10_Recommendation_Engine_w_Spark_Collaborative_Filtering
    1
  4. Go to item
    Workflow
    03.1_In-database&Spark_processing
    Education Data engineering Data engineer
    +3
    The company tracks the usage of the website and stores the information about each session. - Various data are collected, e.g., se…
    knime > Education > Courses > L4-DE Best Practices for Data Engineering > exercises > Session_3_ELT_on_Big_Data > 03.1_In-database&Spark_processing
    0
  5. Go to item
    Workflow
    03.1_In-database&Spark_processing
    Education Data engineering Data engineer
    +3
    The company tracks the usage of the website and stores the information about each session. - Various data are collected, e.g., se…
    knime > Education > Courses > L4-DE Best Practices for Data Engineering > solutions > Session_3_ELT_on_Big_Data > 03.1_In-database&Spark_processing
    0
  6. Go to item
    Workflow
    03.2_Missing_value_imputation_on_Spark
    Education Data engineering Data engineer
    +3
    The company tracks the usage of the website and stores the information about each session. - Various data are collected, e.g., se…
    knime > Education > Courses > L4-DE Best Practices for Data Engineering > exercises > Session_3_ELT_on_Big_Data > 03.2_Missing_value_imputation_on_Spark
    0
  7. Go to item
    Workflow
    03.2_Missing_value_imputation_on_Spark
    Education Data engineering Data engineer
    +3
    The company tracks the usage of the website and stores the information about each session. - Various data are collected, e.g., se…
    knime > Education > Courses > L4-DE Best Practices for Data Engineering > solutions > Session_3_ELT_on_Big_Data > 03.2_Missing_value_imputation_on_Spark
    0
  8. Go to item
    Workflow
    03.3_Aggregation_on_Spark
    Education Data engineering Data engineer
    +3
    The company tracks the usage of the website and stores the information about each session. - Various data are collected, e.g., se…
    knime > Education > Courses > L4-DE Best Practices for Data Engineering > exercises > Session_3_ELT_on_Big_Data > 03.3_Aggregation_on_Spark
    0
  9. Go to item
    Workflow
    03.3_Aggregation_on_Spark
    Education Data engineering Data engineer
    +3
    The company tracks the usage of the website and stores the information about each session. - Various data are collected, e.g., se…
    knime > Education > Courses > L4-DE Best Practices for Data Engineering > solutions > Session_3_ELT_on_Big_Data > 03.3_Aggregation_on_Spark
    0
  10. Go to item
    Workflow
    03.4_Writing_from_Spark
    Education Data engineering Data engineer
    +3
    The company tracks the usage of the website and stores the information about each session. - Various data are collected, e.g., se…
    knime > Education > Courses > L4-DE Best Practices for Data Engineering > exercises > Session_3_ELT_on_Big_Data > 03.4_Writing_from_Spark
    0
  11. Go to item
    Workflow
    03 Manipulating Big Data
    Big data Spark Hive
    L4-BD SELF-PACED COURSE exercise: - Manipulate data on Hive with the DB nodes - Perform ETL operations in Spark with the Spark no…
    knime > Education > Self-Paced Courses > L4-BD Introduction to Big Data with KNIME Analytics Platform > Exercises > 03 Manipulating Big Data
    0
  12. Go to item
    Workflow
    03 Manipulating Big Data
    Big data Spark Hive
    L4-BD SELF-PACED COURSE exercise: - Manipulate data on Hive with the DB nodes - Perform ETL operations in Spark with the Spark no…
    manuel1972 > Public > Self-Paced Courses > L4-BD Introduction to Big Data with KNIME Analytics Platform > Exercises > 03 Manipulating Big Data
    0
  13. Go to item
    Workflow
    03 Manipulating Big Data
    Big data Spark Hive
    L4-BD SELF-PACED COURSE exercise: - Manipulate data on Hive with the DB nodes - Perform ETL operations in Spark with the Spark no…
    tqthanh168 > Public > Self-Paced Courses > L4-BD Introduction to Big Data with KNIME Analytics Platform > Exercises > 03 Manipulating Big Data
    0
  14. Go to item
    Workflow
    03 Manipulating Big Data - Solution
    Big data Spark Hive
    Solution to an L4-BD SELF-PACED COURSE exercise: - Manipulate data on Hive with the DB nodes - Perform ETL operations in Spark wi…
    knime > Education > Self-Paced Courses > L4-BD Introduction to Big Data with KNIME Analytics Platform > Solutions > 03 Manipulating Big Data - Solution
    0
  15. Go to item
    Workflow
    03 Manipulating Big Data - Solution
    Big data Spark Hive
    Solution to an L4-BD SELF-PACED COURSE exercise: - Manipulate data on Hive with the DB nodes - Perform ETL operations in Spark wi…
    manuel1972 > Public > Self-Paced Courses > L4-BD Introduction to Big Data with KNIME Analytics Platform > Solutions > 03 Manipulating Big Data - Solution
    0
  16. Go to item
    Workflow
    04.2_ELT_Usage
    Education Data engineering Data engineer
    +3
    The company tracks the usage of the website and stores the information about each session. - Various data are collected, e.g., se…
    knime > Education > Courses > L4-DE Best Practices for Data Engineering > exercises > Session_4_Orchestration > 04.2_ELT_Usage
    0
  17. Go to item
    Workflow
    04 Model Building on Big Data
    Big data Spark
    L4-BD SELF-PACED COURSE exercise: - Train a ML model in Spark - Read the prediction results into KNIME
    knime > Education > Self-Paced Courses > L4-BD Introduction to Big Data with KNIME Analytics Platform > Exercises > 04 Model Building on Big Data
    0
  18. Go to item
    Workflow
    04 Model Building on Big Data
    Big data Spark
    L4-BD SELF-PACED COURSE exercise: - Train a ML model in Spark - Read the prediction results into KNIME
    tqthanh168 > Public > Self-Paced Courses > L4-BD Introduction to Big Data with KNIME Analytics Platform > Exercises > 04 Model Building on Big Data
    0
  19. Go to item
    Workflow
    04 Model Building on Big Data - Solution
    Big data Spark
    Solution to an L4-BD SELF-PACED COURSE exercise: - Train a ML model in Spark - Read the prediction results into KNIME
    knime > Education > Self-Paced Courses > L4-BD Introduction to Big Data with KNIME Analytics Platform > Solutions > 04 Model Building on Big Data - Solution
    0
  20. Go to item
    Workflow
    04 Model Building on Big Data - Solution
    Big data Spark
    Solution to an L4-BD SELF-PACED COURSE exercise: - Train a ML model in Spark - Read the prediction results into KNIME
    tqthanh168 > Public > Self-Paced Courses > L4-BD Introduction to Big Data with KNIME Analytics Platform > Solutions > 04 Model Building on Big Data - Solution
    0

KNIME
Open for Innovation

KNIME AG
Hardturmstrasse 66
8005 Zurich, Switzerland
  • Software
  • Getting started
  • Documentation
  • E-Learning course
  • Solutions
  • KNIME Hub
  • KNIME Forum
  • Blog
  • Events
  • Partner
  • Developers
  • KNIME Home
  • KNIME Open Source Story
  • Careers
  • Contact us
Download KNIME Analytics Platform Read more on KNIME Server
© 2022 KNIME AG. All rights reserved.
  • Trademarks
  • Imprint
  • Privacy
  • Terms & Conditions
  • Credits