Trino, the distributed SQL query engine for big data, formerly known as PrestoSQL

Trino is a highly parallel and distributed query engine, that is built from the ground up for efficient, low latency analytics.

Access data from multiple systems within a single query. For example, join historic log data stored in an S3 object storage with customer data stored in a MySQL relational database.

Intersystems IRIS \ Docker \ Openflights Dataset

Some links about the topic from title

The Million Song Dataset Challenge aims at being the best possible offline evaluation of a music recommendation system

Do you want to query complex data structures in an iterative way? Do you have access to hierarchical data structures that need to be queried? This course will teach you the tools required to solve these questions. You will learn how to write recursive queries and query hierarchical data structures. To do this, you will use Common Table Expressions (CTE) and the recursion principle on a wide variety of datasets. You will, for example, dig into a flight plan dataset and learn how to find the best and cheapest connection between two airports. After completing this course, you will understand the principle of recursion, and be able to identify and create hierarchical data models.

This article aims at showing good practices on how to retrieve data with SQL using practical examples on the data above. The following topics are covered:

  • operations on columns
  • most common joins
  • aggregations and window functions
  • tips to handle complex queries

Have you ever wondered about the differences between a subquery and a common table expression (CTE) in SQL? The concepts seem very similar, but knowing the difference – and when to use each one – will help you write efficient and readable queries.

Copy InterSystems IRIS JDBC Driver from Docker Container to local filesystem

docker cp my-iris:/usr/irissys/dev/java/lib/1.8/ e:\temp

Files from InterSystems IRIS 2021.2 (preview)

InterSystems IRIS and IRIS for Health 2021.2 preview:

2021.2 LOAD DATA

    [ COLUMNS (fieldname datatype, 
                          fieldname2 datatype2, ...) ] 
INTO table [ (fieldname, fieldname2, ...) 
    [ VALUES (headeritem,headeritem2, ...) ] ]
    [ USING {json_object} ]

LOAD DATA FROM JDBC connection TABLE jtable
INTO table [ (fieldname, fieldname2, ...) 
    [ VALUES (jfieldname,jfieldname2, ...) ] ]

Two example repositories using LOAD DATA:

Fail fast\fail early

Fail-Fast (sinngemäß „schneller Abbruch“) bezeichnet die Eigenschaft eines Systems, Fehler frühzeitig zu erkennen. Ein Fail-Fast-System ist so konzipiert, dass es an seinen Schnittstellen Fehler oder Zustände, die zu Fehlern führen, erkennt und aufzeigt. Üblicherweise beenden sich Fail-Fast-Systeme im Fehlerfall selbst und versuchen nicht, mit dem Fehler weiterzuarbeiten

Why do computers stop and what can be done about it?
by Jim Gray