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  • Welcome to e6data
  • Introduction to e6data
    • Concepts
    • Architecture
      • e6data in VPC Deployment Model
      • Connect to e6data serverless compute
  • Get Started
  • Sign Up
  • Setup
    • AWS Setup
      • In VPC Deployment (AWS)
        • Prerequisite Infrastructure
        • Infrastructure & Permissions for e6data
        • Setup Kubernetes Components
        • Setup using Terraform in AWS
          • Update a AWS Terraform for your Workspace
        • AWS PrivateLink and e6data
        • VPC Peering | e6data on AWS
      • Connect to e6data serverless compute (AWS)
        • Workspace Creation
        • Catalog Creation
          • Glue Metastore
          • Hive Metastore
          • Unity Catalog
        • Cluster Creation
    • GCP Setup
      • In VPC Deployment (GCP)
        • Prerequisite Infrastructure
        • Infrastructure & Permissions for e6data
        • Setup Kubernetes Components
        • Setup using Terraform in GCP
        • Update a GCP Terraform for your Workspace
      • Connect to e6data serverless compute (GCP)
    • Azure Setup
      • Prerequisite Infrastructure
      • Infrastructure & Permissions for e6data
      • Setup Kubernetes Components
      • Setup using Terraform in AZURE
        • Update a AZURE Terraform for your Workspace
  • Workspaces
    • Create Workspaces
    • Enable/Disable Workspaces
    • Update a Workspace
    • Delete a Workspace
  • Catalogs
    • Create Catalogs
      • Hive Metastore
        • Connect to a Hive Metastore
        • Edit a Hive Metastore Connection
        • Delete a Hive Metastore Connection
      • Glue Metastore
        • Connect to a Glue Metastore
        • Edit a Glue Metastore Connection
        • Delete a Glue Metastore Connection
      • Unity Catalog
        • Connect to Unity Catalog
        • Edit Unity Catalog
        • Delete Unity Catalog
      • Cross-account Catalog Access
        • Configure Cross-account Catalog to Access AWS Hive Metastore
        • Configure Cross-account Catalog to Access Unity Catalog
        • Configure Cross-account Catalog to Access AWS Glue
        • Configure Cross-account Catalog to Access GCP Hive Metastore
    • Manage Catalogs
    • Privileges
      • Access Control
      • Column Masking
      • Row Filter
  • Clusters
    • Edit & Delete Clusters
    • Suspend & Resume Clusters
    • Cluster Size
    • Load Based Sizing
    • Auto Suspension
    • Query Timeout
    • Monitoring
    • Connection Info
  • Pools
    • Delete Pools
  • Query Editor
    • Editor Pane
    • Results Pane
    • Schema Explorer
    • Data Preview
  • Notebook
    • Editor Pane
    • Results Pane
    • Schema Explorer
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  • Query History
    • Query Count API
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    • Single Sign-On (SSO)
      • AWS SSO
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      • Icons for IdP
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  • Usage and Cost Management
  • Audit Log
  • User Settings
    • Profile
    • Personal Access Tokens (PAT)
  • Advanced Features
    • Cross-Catalog & Cross-Schema Querying
  • Supported Data Types
  • SQL Command Reference
    • Query Syntax
      • General functions
    • Aggregate Functions
    • Mathematical Functions & Operators
      • Arithematic Operators
      • Rounding and Truncation Functions
      • Exponential and Root Functions
      • Trigonometric Functions
      • Logarithmic Functions
    • String Functions
    • Date-Time Functions
      • Constant Functions
      • Conversion Functions
      • Date Truncate Function
      • Addition and Subtraction Functions
      • Extraction Functions
      • Format Functions
      • Timezone Functions
    • Conditional Expressions
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    • Comparison Operators & Functions
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    • Bitwise Functions
    • Array Functions
    • Regular Expression Functions
    • Generate Functions
    • Cardinality Estimation Functions
    • JSON Functions
    • Checksum Functions
    • Unload Function (Copy into)
    • Struct Functions
  • Equivalent Functions & Operators
  • Connectors & Drivers
    • DBeaver
    • DbVisualiser
    • Apache Superset
    • Jupyter Notebook
    • Tableau Cloud
    • Tableau Desktop
    • Power BI
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    • Zeppelin
    • Python Connector
      • Code Samples
    • JDBC Driver
      • Code Samples
      • API Support
    • Configure Cluster Ingress
      • ALB Ingress in Kubernetes
      • GCE Ingress in Kubernetes
      • Ingress-Nginx in Kubernetes
  • Security & Trust
    • Best Practices
      • AWS Best Practices
    • Features & Responsibilities Matrix
    • Data Protection Addendum(DPA)
  • Tutorials and Best Practices
    • How to configure HIVE metastore if you don't have one?
    • How-To Videos
  • Known Limitations
    • SQL Limitations
    • Other Limitations
    • Restart Triggers
    • Cloud Provider Limitations
  • Error Codes
    • General Errors
    • User Account Errors
    • Workspace Errors
    • Catalog Errors
    • Cluster Errors
    • Data Governance Errors
    • Query History Errors
    • Query Editor Errors
    • Pool Errors
    • Connectivity Errors
  • Terms & Condition
  • Privacy Policy
    • Cookie Policy
  • FAQs
    • Workspace Setup
    • Security
    • Catalog Privileges
  • Services Utilised for e6data Deployment
    • AWS supported regions
    • GCP supported regions
    • AZURE supported regions
  • Release Notes & Updates
    • 6th Sept 2024
    • 6th June 2024
    • 18th April 2024
    • 9th April 2024
    • 30th March 2024
    • 16th March 2024
    • 14th March 2024
    • 12th March 2024
    • 2nd March 2024
    • 10th February 2024
    • 3rd February 2024
    • 17th January 2024
    • 9th January 2024
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    • 18th December 2023
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    • 30th March 2023
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On this page
  • Requirements
  • Connection
  • TLS/HTTP
  1. Connectors & Drivers

Zeppelin

Perform interactive data analytics with Apache Zeppelin notebooks.

PreviousMetabaseNextPython Connector

Last updated 9 months ago

Zeppelin is an advanced, web-based notebook that enables interactive data analysis and visualization. It supports multiple languages such as Python, SQL, Scala, and more, allowing for seamless integration with various data processing backends. With its powerful collaboration features, Zeppelin facilitates real-time sharing and teamwork, making it an ideal tool for data scientists, analysts, and developers working on complex data projects. Its extensible architecture and rich visualization capabilities ensure a versatile and robust environment for conducting and presenting data-driven insights.

Requirements

Below are the prerequisites you need to fulfil before connecting the e6data cluster to Metabase:

  • Users of the e6data cluster must use Apache Zeppelin 0.8.2 or newer.

  • Install the latest .

  • Establish a in your cluster.

  • You can obtain the connection details required from the Connection Information tab in the e6data cluster.

Connection

Get the necessary connection information for your cluster:

  • JDBC URL

  • Username

  • Password ()

  • Driver Class

  • AUTO_RESUME

Once you have gathered this information, you can create a new connection in Zeppelin. To connect with Zeppelin, follow the below instructions:

  1. To access the list of interpreters available for querying, navigate to the top right corner and click on the Profile. From there, select "Interpreter," which will display the list of interpreters you can choose from for your queries.

  2. Go to the top right corner and click on the Create option.

  1. Use below configurations to setup the new E6 JDBC Interpreter

    1. Interpreter Name - Give the name for the interpreter

    2. Interpreter group - Select jdbc from the drop down menu

    3. From the properties section use below configuration setting

  1. In the Artifact tab of the Dependencies section, provide the file path of the E6 JDBC jar that you have downloaded on the EC2 instance.

  2. Click on save to save the changes.

Driver class remains same and manual input is required on zeppelin i.e. io.e6.jdbc.driver.E6Driver

TLS/HTTP

e6data utilizes globally trusted certificates, ensuring that the host and port provided by the connection dialogue are adequate. Any e6data cluster necessitating authentication must also employ TLS/HTTPS. If adhering to globally trusted certificate best practices, utilize the cluster’s HTTPS URL in the connection string as detailed in the aforementioned steps.

e6data jdbc driver
Direct or TLS connection
Personal Access Token