Apache Hadoop
Apache Hive
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Apache Hadoop | Apache Hive | |
---|---|---|
26 | 14 | |
14,255 | 5,296 | |
0.9% | 1.4% | |
9.9 | 9.7 | |
about 21 hours ago | 1 day ago | |
Java | Java | |
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?
Apache Hive
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Apache Iceberg as storage for on-premise data store (cluster)
Trino or Hive for SQL querying. Get Trino/Hive to talk to Nessie.
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In One Minute : Hadoop
Hive, A data warehouse infrastructure that provides data summarization and ad hoc querying.
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DeWitt Clause, or Can You Benchmark %DATABASE% and Get Away With It
Apache Drill, Druid, Flink, Hive, Kafka, Spark
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Apache Spark, Hive, and Spring Boot — Testing Guide
In this article, I'm showing you how to create a Spring Boot app that loads data from Apache Hive via Apache Spark to the Aerospike Database. More than that, I'm giving you a recipe for writing integration tests for such scenarios that can be run either locally or during the CI pipeline execution. The code examples are taken from this repository.
- Apache Hive in the vein!
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Jinja2 not formatting my text correctly. Any advice?
ListItem(name='Apache Hive', website='https://hive.apache.org/', category='Interactive Query', short_description='Apache Hive is a data warehouse software project built on top of Apache Hadoop for providing data query and analysis. Hive gives an SQL-like interface to query data stored in various databases and file systems that integrate with Hadoop.'),
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Understanding SQL Dialects
Apache Hive takes in a specific SQL dialect and converts it to map-reduce.
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The Data Engineer Roadmap 🗺
Apache Hive
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Open Source SQL Parsers
Apache Calcite is a popular parser/optimizer that is used in popular databases and query engines like Apache Hive, BlazingSQL and many others.
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Word-Aligned Bloom Filters
> whether this would really work out in most workloads
> just because it keeps the cache-lines hotter and less likely to be evicted.
Okay, so keeping cache for a bloom filter problem is real - but the real force evicting memory out of the cache line is the next row-group you read + all the other stuff you have to do when you implement this in a database product.
So the two things I work with, Apache Hive and Apache Impala switched to a blocked bloom filter at different points in time.
Hive BloomKFilter - https://github.com/apache/hive/blob/master/storage-api/src/j...
Impala/Kudu one - https://github.com/apache/impala/blob/master/be/src/kudu/uti...
The C++ one also has an AVX specialization, while the Java one relies on the JVM to do it (not always) - https://github.com/apache/impala/blob/master/be/src/kudu/uti...
We ran a lot of trivial benchmarks and several benchmarks where the shuffle-join (not sort-merge, this is just a partitioned hash join) generates a bloom filter (a semijoin) before sending rows out and the 1-cache line version won out when the bloom filter went slightly over the 1 Million + 5% rate [1].
The regular bloom filter went from (38ns -> 108ns for 1k -> 1m items), while the BloomK stuck at (27ns) despite making room for a million times more items in the bloom. The bloom-1 (which is the 64bit version) underperformed on accuracy (was ~2x faster at 16ns per op, but worse at filtering out items).
[1] - https://github.com/prasanthj/bloomfilter/tree/master/benchma...
What are some alternatives?
superset - Apache Superset is a Data Visualization and Data Exploration Platform
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
ObjectBox Java (Kotlin, Android) - Java and Android Database - fast and lightweight without any ORM
HikariCP - 光 HikariCP・A solid, high-performance, JDBC connection pool at last.
Airflow - Apache Airflow - A platform to programmatically author, schedule, and monitor workflows
Apache Phoenix - Apache Phoenix
Flyway - Flyway by Redgate • Database Migrations Made Easy.