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Introduction
With the release of Incorta v2024.1, shapes have been introduced as a dashboarding component. While this might seem like a small capability, the implementation of this can launch dashboard designs to new heights.
What you need to know b...
Introduction
Incorta Copilot was rolled out in Incorta 2024.1 and has revolutionized how architects, developers, and analysts interact with their data.
What you need to know before reading this article
How do I activate Copilot for notebooks?
Copilo...
Highlights
The NEW Incorta Copilot - the new multi-faceted AI offering that os integrated with experiences across the platform.The NEW Data Studio - a graphical environment for simplified and smart materialized view creation.The NEW Analyst Noteboo...
Introduction
Zeppelin Notebooks (Materialized View interactive notebooks) have gained popularity as a versatile and interactive environment for data analysis and visualization. One of the standout features that sets Zeppelin apart is its support for ...
Description: Our course for administrators provides students with a comprehensive understanding of the procedures and techniques necessary to rapidly install, configure, monitor, secure, and manage Incorta.
Format: This will be a live virtual event h...
Here is how I got it to work:
from pyspark.sql.functions import col, expr
df1 = read("[datestable]")
df2 = read("[periodstable]")
df1 = df1.withColumn("month_year", expr("substring(date, 6, 2) || '-' || substring(date, 3, 2)"))
joined_df = df1.join...
.png "Community Manager"){kind=icon}
.svg "Q2 User Group Meeting Attendee"){kind=icon}
