In continuation with our Azure Every Day mini-series on Azure Databricks, I will be covering some key topics within Databricks such as Azure Key Vault, storage accounts, PowerPoint and DevOps. If you’re just starting out with Databricks, you may want to check out our previous posts on Databricks 101 and Getting Started with Azure Databricks. Today’s post is focused on accessing Azure Storage accounts.
As part of our ongoing series on Azure Databricks, I’ll walk you through getting started by creating your own Databricks Service and Databricks cluster. First off, it’s important to know that Databricks is not available with an Azure free subscription, you must have an Azure pay as you go account. However, there is a free 14-day premium trial available.
Do you want to learn how to create a notebook in Azure Databricks? In this recent webinar with Steve Hughes, Director of Consulting, you will learn how to create your first notebook using Azure Databricks.
If you’re unaware, Databricks is a fast, easy, and collaborative analytics platform which is based on Apache Spark. This webinar will give you a beginner level overview of Databricks in Azure, which can be key in accelerating innovation by unifying data science, engineering, and business.
The primary focus of this presentation is on creating a simple notebook, moving data, and doing some data manipulation and visualization. This is a key part of the ecosystem of Azure Databricks. At Pragmatic Works, we’ve used Databricks in many projects for ETL transformations and machine learning scenarios, as well as streaming. This is a huge tool of choice for us because of the flexibility and capability Databricks gives us with scalability and management of data requests and requirements.
This demo-heavy webinar will cover:
Adding Azure Databricks to your subscription
Review the workspace
Set up the cluster
So, if you’re just starting out or interested in Azure Databricks and want to learn how to create your first notebook, this webinar is for you. You can watch the complete webinar below.
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By migrating the customer from Azure Data Lake Storage Gen1 to Azure Data Lake Storage Gen2, 3Cloud, formerly Pragmatic Works, helped them see a 40% savings in storage per month, totaling over $28,000 monthly.
By now, most of you have probably heard about Databricks. Databricks is a fast, easy, and collaborative Apache Spark-based analytics platform. It is integrated with Azure to provide one-click setup, streamlined workflows, and an interactive workspace that enables collaboration between data scientists, data engineers, and business analysts.
As you probably know, two very powerful tools in the data world are Databricks and Power BI. Power BI is a business analytics solution that lets you visualize your data and share insights across your organization or embed them in your app or website. Databricks helps analysts by organizing the data into ‘notebooks’ and making it easy to visualize data by using dashboards.
If you’re like many of our customers, you’re looking to learn more about advanced analytics, machine learning and other data science type topics. In today’s post, I’d like to discuss what we do to help our customers get to where they want to be in these areas.
There are many options for data storage, how do you know which is right for your data? Today I’d like to discuss storage in relation to the architecture of the modern data warehouse and to shed some light on your options.