Introduction: Helical Insight metadata connects with a database which is predefined. Now there might be certain cases in which we would like the metadata to connect to different data sources based on certain condition. For example : In healthcare industry the data of the hospital can not go outside the hospital premises. In that case,
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In this blog we are covering the best practices which should be followed while using Helical Insight to create your reports, dashboards, embedding, Single Sign On, optimal performance, higher security etc. DATASOURCES: a) Dynamic DB Switching : – There are certain cases when we would like the report or dashboard to all together switch to
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In this specific blog we would be covering db specific functions which are specific to NoSQL databases like Mongo etc present in the version of Helical Insight 4.1. Some of these functions like handling of JSON are now also are present for newer versions of databases like Postgress, MySQL etc JSON Specific function 1) You
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Prerequisites : Helical Insight 4.0 Database : Postgress In this blog will see how we can create a docker for Helical Insight with Postgres as backend database Step 1: Folder structure a.This is folder structure which I have maintained Step 2: Create a docker file for helical insight by following below blog https://forum.helicalinsight.com/t/support-for-docker/1030 a.Place
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Once you have created a report using applied database function there might be a need to delete the applied DB function or change those values. In this blog, we will learn how we can go about doing the same. Below is the snapshot of the report which is created by applying Database function on one
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Introduction: Helical Insight metadata connects with a database which is predefined. Now there might be certain cases in which we would like the metadata to connect to different data sources based on certain condition, for example, different organization etc. Here we have explained how the metadata is connected to different data sources based on logged
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How to Install Spark SQL Thrift Server (Hive) and connect it with Helical Insight In this article, we will see how to install Spark SQL Thrift Server (Hive) and how to fetch data from spark thrift server in helical insight Prerequisite: Helical Insight should be installed and running. We will now see how to install
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Adding Table/Column to an embedded derby database created at the time of installation of Helical Insight application. In this blog we will discuss how to add a new table or column to an already connected embedded derby database and populate newly created table or column. We will use db-visualizer as a client to connect to
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Approach Helical Insight(BI) -> Fire SQL Query -> Map Cassandra with hive (one-time activity) -> Fetch data from Cassandra Just in Time This approach involves creation of mapping tables in Hive meta-store of SPARK which have one-to-one mapping to Cassandra DB tables. Helical Insight can connect to this Hive meta-store using SPARK’s Thrift Server which
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In this blog, we have discussed the steps involved in connecting Helical Insight to Apache Druid. In order to start creating analytics with Apache Druid, follow the below given steps: 1. Download this folder Druid_Configure Files.zip and unzip it. 2. The file named “avatica-1.17.0.jar” is the JDBC driver for Apache Druid. Upload the JDBC Driver
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