Wednesday, September 14, 2016
Friday, August 26, 2016
Thursday, July 07, 2016
Wednesday, June 22, 2016
Squashing Git Commits:
1) git checkout [branch_name]
2) git reset master
3) git status // if there are new files, add them for staging
4) git commit -a -m "squashed"
5) git push origin HEAD:[squashed_branch_name] // Notice the new remote branch. Then you can diff the two and ensure the squash worked correctly.
6) git diff // If there were no differences, you can force commit the changes to your branch
7) git push origin [branch_name] -f
1) git checkout [branch_name]
2) git reset master
3) git status // if there are new files, add them for staging
4) git commit -a -m "squashed"
5) git push origin HEAD:[squashed_branch_name] // Notice the new remote branch. Then you can diff the two and ensure the squash worked correctly.
6) git diff // If there were no differences, you can force commit the changes to your branch
7) git push origin [branch_name] -f
Tuesday, June 21, 2016
CSV and Hive
json 2 case class
Epoch & Unix Timestamp Conversion Tools
cloudera-repos/org/apache Repo
java hyperloglog Github
A community index of third-party packages for Apache Spark
Lightning provides API-based access to reproducible web visualizations
Thunder is an ecosystem of tools for the analysis of image and time series data in Python
Apache Parquet is a columnar storage format available to any project in the Hadoop ecosystem, regardless of the choice of data processing framework, data model or programming language
Apache Drill - Schema-free SQL Query Engine for Hadoop, NoSQL and Cloud Storage
Kaggle helps you learn, work, and play Data Science
Apache Zeppelin
json 2 case class
Epoch & Unix Timestamp Conversion Tools
cloudera-repos/org/apache Repo
java hyperloglog Github
A community index of third-party packages for Apache Spark
Lightning provides API-based access to reproducible web visualizations
Thunder is an ecosystem of tools for the analysis of image and time series data in Python
Apache Parquet is a columnar storage format available to any project in the Hadoop ecosystem, regardless of the choice of data processing framework, data model or programming language
Apache Drill - Schema-free SQL Query Engine for Hadoop, NoSQL and Cloud Storage
Kaggle helps you learn, work, and play Data Science
Apache Zeppelin
Friday, January 08, 2016
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