Liquibase Reviews

Hadoop Reviews

Liquibase mentions (5)

• How do you guys go about the persistence layer?

  As far as keeping track of domain changes you can store DDL files in version control like you mention or use tools like Flyway (https://flywaydb.org) or Liquidbase (https://liquibase.org) which takes care of database migrations. Source: about 2 years ago

• How do you guys go about the persistence layer? (x-post)

  I just use SQL directly (or something like JOOQ). For database migrations I use Liquibase. Source: about 2 years ago

• Where questioning the scale of a company and its clients its seen bad

  Regarding the migrations, there are tools such as https://liquibase.org/ or FlyAway that handle this. Heck, you can even use an ORM that has a migration baked-in but that defeats the purpose of having the migrations in a separate project. Source: about 2 years ago

• State based change management tool for Snowflake

  I've trialled schemachange and liquibase which are change script based tools. I've ruled out a whole load of other tools that are either change script based tools or don't support Snowflake, including the following:. Source: over 2 years ago

• Learning SQL and using dll (CREATE,DROP,ALTER)

  Nowadays I prefer to automate database updates and deployment, using Liquibase and its relational database vendor agnostic syntax for that. Especially on production systems. But on local dev environments, I can still use the occasional SQL in a pinch. Source: over 2 years ago

Hadoop mentions (15)

• Getting thousands of files of output back from a container

  Did you check out tools like https://hadoop.apache.org/ ? Source: about 1 year ago

• 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. Source: about 1 year ago

• 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. - Source: dev.to / over 1 year ago

• Effortlessly Set Up a Hadoop Multi-Node Cluster on Windows Machines with Our Step-by-Step Guide

  A copy of Hadoop installed on each of these machines. You can download Hadoop from the Apache website, or you can use a distribution like Cloudera or Hortonworks. - Source: dev.to / over 1 year ago

• In One Minute : Hadoop

  The Apache™ Hadoop™ project develops open-source software for reliable, scalable, distributed computing. - Source: dev.to / over 1 year ago