Data exploration with Data Explorer

1. Data exploration with Data Explorer

In this video, we'll explore Databricks' Data Explorer, a powerful tool for efficiently exploring data, previewing datasets, and managing security settings.

2. Your data GPS

Think of Data Explorer as your organization's data GPS. Just like a GPS helps you navigate to your destination efficiently by showing you the best route and important landmarks, Data Explorer allows you to easily navigate and make sense of your data landscape. Before moving deeper, you can quickly locate specific data tables, understand their structure, and ensure they align with your intended analysis. Efficient data exploration and robust security are vital for data accessibility, integrity, and compliance.

3. Navigating the Data Explorer

Databricks' Data Explorer provides a user-friendly interface to browse databases, tables, and views. Imagine trying to find a specific file among a mountain of folders - Data Explorer simplifies this task by allowing you to interact with data, preview table contents, and understand data structures quickly.

4. Navigating the Data Explorer

For example, suppose you're examining a dataset that consolidates customer transactions from multiple sources. In that case, Data Explorer lets you instantly verify data formats, confirm critical fields are correctly populated, and check for potential anomalies - all before delving into deeper analysis.

5. Securing your data with ease

Beyond exploration, Data Explorer is a key tool for managing data security. Setting up access controls and permissions can sometimes feel like being a gatekeeper of a vault - you want the right people to have access without compromising security. Data Explorer streamlines this process, enabling you to define user roles, set granular permissions, and control who can access specific datasets. This level of control safeguards sensitive information and helps uphold your organization's data governance standards.

6. Ownership matters

Table ownership is a core aspect of data governance and accountability within organizations. In Data Explorer, you can quickly identify table owners, assign new ones, or transfer responsibilities as needed. Think of a table owner as the "steward" of a particular dataset - they oversee everything from setting access policies to ensuring data quality and compliance with organizational policies. By having clearly defined ownership, your data remains accurate, secure, and governed by a clear chain of responsibility.

7. Data quality accountability

Table owners play a pivotal role in data management by maintaining access controls, data quality, and compliance with governance policies. This is not a one-time task; regular reviews of permissions, monitoring data usage, and collaborating with data stewards are crucial. Table owners must routinely inspect and safeguard their data. This ongoing oversight is key to maintaining your data assets' trustworthiness, security, and overall quality in any organization.

8. Let's Practice!

Now it's time for some exercises!

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