[00:03] Now, here's a number that explains it. 70% of the Fortune 500 already use Databricks. And you'll be wondering why? Because companies have data everywhere. For example, customer data, sales data, app data, analytics, and all massive
[00:19] amounts of data needed for AI. So, instead of using separate platforms for data engineering, analytics, machine learning, and AI, Databricks bring much of the world into one ecosystem. And that is creating a career
[00:33] opportunity, too. So, in the last 90 days, nearly 6,000 job postings indexed by Skill in AI mentions Databricks. And the biggest role hiring for skill is data engineers. Companies are also looking for senior data engineers, data
[00:47] architects, analytics engineers, and other data and AI professionals. With interesting part. Databricks is frequently paired with skills like Python, SQL, AWS, Azure, or Snowflake. So, if you're already
[01:02] learning data engineering, you may not need a completely new career path. Databricks could simply be the next skill you need to add it.