Apache Hadoop
dbt-core
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| Apache Hadoop | dbt-core | |
|---|---|---|
| 26 | 86 | |
| 14,280 | 8,842 | |
| 0.7% | 2.4% | |
| 9.9 | 9.7 | |
| 4 days ago | about 13 hours ago | |
| Java | Python | |
| Apache License 2.0 | Apache License 2.0 |
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
Apache Hadoop
- Unveiling the Analytics Industry in Bangalore
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5 Best Practices For Data Integration To Boost ROI And Efficiency
There are different ways to implement parallel dataflows, such as using parallel data processing frameworks like Apache Hadoop, Apache Spark, and Apache Flink, or using cloud-based services like Amazon EMR and Google Cloud Dataflow. It is also possible to use parallel dataflow frameworks to handle big data and distributed computing, like Apache Nifi and Apache Kafka.
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Data Engineering and DataOps: A Beginner's Guide to Building Data Solutions and Solving Real-World Challenges
There are several frameworks available for batch processing, such as Hadoop, Apache Storm, and DataTorrent RTS.
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In One Minute : Hadoop
GitHub
The Apache™ Hadoop™ project develops open-source software for reliable, scalable, distributed computing.
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Elon Musk dissolves Twitter's board of directors
So, clearly with your AP CS class and PLC logic knowledge, if you were dumped into a codebase like Hadoop, QT, or TensorFlow you'd be able to quickly and competently analyze what is going on with that code, understand all the libraries used, know the reasons why certain compromises were made, and be able to make suggestions on how to restructure the code in a different way? Because I've been programming for coming up on two decades and unless a system is within the domains that I have experience in, I would not be able to provide any useful information without a massive onboarding timeline, and definitely wouldn't be able to help redesign anything until actually coding within the system for a significant amount of time.
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A peek into Location Data Science at Ola
This requires the use of distributed computation tools such as Spark and Hadoop, Flink and Kafka are used. But for occasional experimentation, Pandas, Geopandas and Dask are some of the commonly used tools.
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How-to-Guide: Contributing to Open Source
Apache Hadoop
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Python vs. Java: Comparing the Pros, Cons, and Use Cases
Hadoop (a Big Data tool).
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Big Data Processing, EMR with Spark and Hadoop | Python, PySpark
Apache Hadoop is an open source framework that is used to efficiently store and process large datasets ranging in size from gigabytes to petabytes of data.Wanna dig more dipper?
dbt-core
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Relational is more than SQL
dbt integration was one of our major goals early on but we found that the interaction wasn't as straightforward as had hoped.
There is an open PR in the dbt repo: https://github.com/dbt-labs/dbt-core/pull/5982#issuecomment-...
I have some ideas about future directions in this space where I believe PRQL could really shine. I will only be able to write those down in a couple of hours. I think this could be a really exciting direction for the project to grow into if anyone would like to collaborate and contribute!
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Python: Just Write SQL
I really dislike SQL, but recognize its importance for many organizations. I also understand that SQL is definitely testable, particularly if managed by environments such as DBT (https://github.com/dbt-labs/dbt-core). Those who arrived here with preference to python will note that dbt is largely implemented in python, adds Jinja macros and iterative forms to SQL, and adds code testing capabilities.
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Transform Your Data Like a Pro With dbt (Data Build Tool)
3). Data Build Tool Repository.
- How do I build a docker image based on a Dockerfile on github?
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DBT core v1.5 released
Here’s the PR, which includes a what/how/why: https://github.com/dbt-labs/dbt-core/issues/7158
- Building Column Level Lineage for dbt
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Unit testing with dbt
Hey OP! There are packages like dbt-datamocktool or dbt-unit-testing. You can check it out. You might want to check out this thread as well.
- SQL and M4 = Composable SQL
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Interview Prep - Senior Data Integration role
RudderStack, dbt, Kafka, Headless CDP, etc. on top of my mind
What are some alternatives?
Go IPFS - IPFS implementation in Go [Moved to: https://github.com/ipfs/kubo]
Ceph - Ceph is a distributed object, block, and file storage platform
Seaweed File System - SeaweedFS is a fast distributed storage system for blobs, objects, files, and data lake, for billions of files! Blob store has O(1) disk seek, cloud tiering. Filer supports Cloud Drive, cross-DC active-active replication, Kubernetes, POSIX FUSE mount, S3 API, S3 Gateway, Hadoop, WebDAV, encryption, Erasure Coding. [Moved to: https://github.com/seaweedfs/seaweedfs]
Weka
MooseFS - MooseFS – Open Source, Petabyte, Fault-Tolerant, Highly Performing, Scalable Network Distributed File System (Software-Defined Storage)
GlusterFS - Web Content for gluster.org -- Deprecated as of September 2017
Airflow - Apache Airflow - A platform to programmatically author, schedule, and monitor workflows
airbyte - The leading data integration platform for ETL / ELT data pipelines from APIs, databases & files to data warehouses, data lakes & data lakehouses. Both self-hosted and Cloud-hosted.
GlusterFS - Gluster Filesystem : Build your distributed storage in minutes
lizardfs - LizardFS is an Open Source Distributed File System licensed under GPLv3.
metricflow - MetricFlow allows you to define, build, and maintain metrics in code.