In BlueGranite’s recent webinar, you will see several examples of Python in action for data modeling and visualization in Power BI. You will also learn where and how Python fits into a Power BI development workflow.

You’ll also see how to balance Python with native Power BI functionality and determine what limitations must be considered when using Python in Power BI.

ThorogoodBI explores the use of Databricks for data engineering purposes in this webinar.

Whether you’re looking to transform and clean large volumes of data or collaborate with colleagues to build advanced analytics jobs that can be scaled and run automatically, Databricks offers a Unified Analytics Platform that promises to make your life easier.

In the second of 2 recorded webcasts Thorogood Consultants Jon Ward and Robbie Shaw showcase Databricks’ data transformation and data movement capabilities, how the tool aligns with cloud computing services, and highlight the security, flexibility and collaboration aspects of Databricks. We’ll also look at Databricks Delta Lake, and how it offers improved storage for both large-scale datasets and real-time streaming data.Whether you’re looking to transform and clean large volumes of data or collaborate with colleagues to build advanced analytics jobs that can be scaled and run automatically, Databricks offers a Unified Analytics Platform that promises to make your life easier.

In this video, Robert is joined by Phil Japikse for part 3 of a 5 part series on Entity Framework Core. Aimed at folks new to EF Core, Phil shows how to start with an existing SQL Server database, create entities/objects for each table and then how to perform basic CRUD operations on the data.

This episode covers querying data using EF Core. We discuss the basics of Where clauses, retrieving single items or lists of items, as well as when queries actually execute.

Find the sample code here.

Episode list:

  • Part 1: Working with Existing Databases. We scaffold the DbContext and the Entities from the Northwind Database, discuss navigation properties and relationships.
  • Part 2: Change Tracking. Change Tracking is one of the most compelling reasons to use an object-relational-mapper (ORM) like EF Core. In this episode we discuss how the change tracker works, see it in action, as well as load data outside of the change tracker.
  • Part 3: Basic Queries (this episode).
  • Part 4: Querying Related Data and Using Projections (coming soon). Querying related data is simple in EF Core. In this episode we demonstrate creating joins in our LINQ queries with Include and ThenInclude. We also discuss how you use projections to shape the queried data into other objects, anonymous or strongly typed.
  • Part 5: Putting the CUD into CRUD (coming soon). Wrapping up our starter series on EF Core, this episode covers adding, updating, and deleting data.

In this video, Chris Seferlis continues discussing the Modern Data Platform in Azure with Part 3: Data Processing.

Tools Discusssed:

Databricks livestreamed this webinar on how to combine the best of data warehouses and data lakes into a simple and unified approach with Delta Lake, for improved data reliability, performance, and operations

Companies look to support both business analytics and machine learning initiatives within their organization, but often face challenges with complex operations, proprietary technologies, and unreliable data.

Join our How to Build a Cloud Data Platform technical training series, where we’ll explore how to use Apache SparkTM, Delta Lake, MLflow, and other open source technologies to construct your Cloud Data Platform with Databricks to all handle all your use cases — data engineering, data science, machine learning and business analytics. These virtual sessions will include concepts, architectures, and demos.

At the end of each session, you will be given redemption codes for additional free Databricks self-paced training and/or demo notebooks for hands-on practice.