configure razorsql to connect to dynamo db

#Configure razorsql to connect to dynamo db install

Loading these tables and modeling them into Power BI is definitely an option, but it can be overwhelming and quickly deteriorate the speed of a dashboard. There are multiple reasons why an ELT workflow is particularly convenient for turning semi-structured data into insights.įirst off, flattening a complex NoSQL database can produce dozens, hundreds, or even thousands of tables.

#Configure razorsql to connect to dynamo db install

The hard way: install an ODBC driver on your local machine to connect to DynamoDBįor demonstration, I have set up a DynamoDB table with a sample data set called 'Movies.' Option 1: The ELT data pipeline (aka, the easy way).The easy way: an ELT data pipeline between DynamoDB and Power BI.In this article, I will discuss 2 options to visualize data from an Amazon DynamoDB database using Power BI. Yet, as a data professional, you often have to defy these unwritten rules to get the automated insights you're looking for Visualizing DynamoDB data in Power BI A typical key-value store performs speedy lookups when you give it a key, but it's not optimized for analytical queries that require subsetting and aggregation. Non-relational databases (i.e., NoSQL) are ideally suited for operational purposes because of their scalability, flexibility, write speed, and fast response time for simple queries. When you think of NoSQL, you don't immediately think of business intelligence. Is Microsoft to blame for this? Not at all. That being said, connecting to semi-structured (NoSQL) data sources like MongoDB, Cassandra, and DynamoDB is less convenient. Hundreds of connectors for data sources-direct competitors of Microsoft products-are available out of the box.Įxploring data from Google BigQuery, Amazon Redshift, or SAP Hana with Power BI is only a couple of clicks away. More importantly, Microsoft hasn't created a walled garden for its business intelligence solution. Power BI has clever integrations with Microsoft Flow and Power Apps. It also seamlessly connects with data sources within the Microsoft (Azure) ecosystem such as SQL Server, Data Lake, HDInsight, and Synapse.Advanced users will be pleased that data ingestion and manipulation are done with the same tools as in Excel: Power Query and DAX.

Power BI feels very familiar. With a very recognizable interface, it should be within the comfort zone of those who are hooked to their Excel spreadsheets.On the other hand, Power BI is also highly versatile and can handle complex transformations and calculations. Power BI is easy to use. Business users should have no problem exploring and drilling down in their dashboards.Building on the corporate successes of the existing BI Suite, Power BI has become one of the most popular data visualization tools on the market. One of the latest tools in the Microsoft BI family is Power BI.

While Microsoft offers an extensive suite of business intelligence solutions, SSIS (SQL Server Integration Services), SSAS (SQL Server Analytical Services), and SSRS (SQL Server Reporting Services) are the traditional strongholds of its BI stack.Īll these tools serve use cases related to intelligence, analytics, and reporting in one way or another.

In other words: it has a complete vision and can execute it. For years, Microsoft has been a leader in Gartner's quadrant for intelligence and analytics platforms.