hop
Apache Hive
hop | Apache Hive | |
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13 | 14 | |
858 | 5,335 | |
2.1% | 0.7% | |
9.2 | 9.6 | |
8 days ago | 7 days 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.
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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.
hop
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Loading data
If you're looking for a visual and more intuitive way to load data to Neo4j, you might want to have a look at Apache Hop. Hop comes with tons of functionality to load data to Neo4j.
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How to automate cypher query?
Apache Hop is a great open source orchestration platform with excellent native Neo4j support.
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Does anyone use a no-code data transformation tool?
Have you checked out Apache Hop? https://hop.apache.org/ It is a very powerful no-code open source ETL tool.
- Hop – The easiest way to deploy your code
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Kafka ETL tool, is there any?
Apache Hop https://hop.apache.org/
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What are the Possible Oracle database to Salesforce Integration solutions
You could look into Apache Hop. Open source with Salesforce connectors. Powerful free option for reverse ETL. https://hop.apache.org/
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[Q] Knowledge Graph - Populating the GraphDB from scratch.
I would get familiar with an ETL tool. Apache Hop is excellent, opensource, and has native support for neo4j. It will make your imports easier to see the "flow" - also easier to share/collaborate with others. It also gives you support to use several methods (direct from RDBMS, from CSV, or running code like your python example) all from within the same workflows/pipelines, so you can use the best method/tool for a particular part of your process.
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Replace RDBMS with neo4j
I used Apache HOP as an ETL to integrate the ERP data from RangerMSP into a Neo4j knowledgegraph. Then connected the ERP data to our other vendors data using their web APIs (Office365/sharepoint/teams), backups, infrastructure monitoring/alerting to create other workflows that performed automations and validations of our service delivery. The reporting is so so much easier, faster, and more contextual since relationships are created as the data is built/modified, rather then when queried as in an RDBMS.
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Apache Hop few questions about starting up
I'm a pentaho pdi user that wants to give a try to Apache Hop. I've started the gui and learned a bit how to import from pdi, create a new workflow/pipeline, made some test. Now I've to move on but reading the docs at https://hop.apache.org/ I can't find informations I need:
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is there a software to use spark without carry about coding using it's apis
You can try Apache Hop
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.
- Visionary French entrepreneur, David Gurle, launches new venture – Hive
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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.
What are some alternatives?
Apache Log4j 2 - Apache Log4j 2 is a versatile, feature-rich, efficient logging API and backend for Java.
superset - Apache Superset is a Data Visualization and Data Exploration Platform
vanus - Vanus is a Serverless, event streaming system with processing capabilities. It easily connects SaaS, Cloud Services, and Databases to help users build next-gen Event-driven Applications.
ObjectBox Java (Kotlin, Android) - Java and Android Database - fast and lightweight without any ORM
Smooks - Extensible data integration Java framework for building XML and non-XML fragment-based applications
HikariCP - 光 HikariCP・A solid, high-performance, JDBC connection pool at last.
tarindexer - python module for indexing tar files for fast access
Apache Phoenix - Apache Phoenix
Faust - Python Stream Processing
Flyway - Flyway by Redgate • Database Migrations Made Easy.
Apache ZooKeeper - Apache ZooKeeper
Presto - The official home of the Presto distributed SQL query engine for big data