Dinesh Asanka
Creating a Weekly schedule for the Standard Subscription in SSRS.

Enhancing Customer Experiences with Subscriptions in SSRS

August 28, 2020 by

Introduction

We are going to discuss a very important option in SQL Server Reporting Services (SSRS), which is Subscriptions in SSRS. Typically, Reporting service is used to view reports. However, most users would prefer to receive the report to their inbox in the preferred report format, such as Word, Excel, or PDF in a preferred time. Further, you might want these reports to be delivered to a file share. Let us see how we can achieve these options using Subscriptions in SSRS and what are the challenges and pre-configurations.

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Rahul Mehta
Neptune Jupyter Commands

Working with AWS Neptune Graph Databases

August 28, 2020 by

This article provides a step by step explanation of how to work with AWS Neptune Graph database. We will understand the basic concept and use-case of graph databases and then create a graph database instance as well as access it with Jupyter notebooks.

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Rajendra Gupta
Copy file using the xp_cmdhell

T-SQL scripts to copy or remove files from a directory in SQL Server 2019

August 21, 2020 by

Sometimes database professionals need to perform specific tasks at the operating system level. These tasks can be like copying, moving, deleting files and folders. A use case of these tasks might be removing the old backup files or copying backup files to a specific directory after a particular time. In SQL Server, we can use xp_cmdshell extended stored procedure to execute commands directly in the Windows command prompt(CMD). You need a sysadmin role or proxy account configured to use this extended procedure. We can also use the SSIS package for the file transfer, but it also requires you to build a package with the relevant tasks.

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Aveek Das
Selecting data from table

Introduction to SQLAlchemy in Pandas Dataframe

August 20, 2020 by

In this article, I am going to demonstrate how to connect to databases using a pandas dataframe object. Pandas in Python uses a module known as SQLAlchemy to connect to various databases and perform database operations. In the previous article in this series “Learn Pandas in Python”, I have explained how to get up and running with the dataframe object in pandas. Using the dataframe object, you can easily start working with your structured datasets in a similar way that of relational tables. I would suggest you have a look at that article in case you are new to pandas and want to learn more about the dataframe object.

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Aveek Das
Virtual Environment created

Working with Pandas Dataframes in Python

August 19, 2020 by

In this article, I am going to explain in detail the Pandas Dataframe objects in python. In the previous article in this series Learn Pandas in Python, I have explained what pandas are and how can we install the same in our development machines. I have also explained the use of pandas along with other important libraries for the purpose of analyzing data with more ease. Pandas provides a dataframe object which makes it relatively easier to consider working with the data as it provides a tabular interface for the data in it. People who are already familiar in working with relational databases, they can really find similarities between a table in the database and the dataframe object in pandas.

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Aveek Das
Deploying the serverless application

Deploy serverless applications using the AWS SAM CLI

August 18, 2020 by

In this article, we are going to learn to deploy serverless applications to the AWS Cloud using the AWS SAM CLI. This article is a part of the three-article series “Develop and Deploy Serverless Applications with AWS SAM CLI”. If you have some idea about how to develop and test your serverless applications locally using the AWS SAM CLI, then you might proceed with this article. However, if you want to learn more about developing and running your code locally, I would strongly recommend reading the previous articles of this series, Getting started with the AWS SAM CLI and Set up a local serverless environment using the AWS SAM CLI, which explains in detail the various configurations required to start and run the serverless functions on your local.

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Aveek Das
Opening serverless app in VS Code

Set up a local serverless environment using the AWS SAM CLI

August 18, 2020 by

In this article, we are going to work on setting up your local development environment for creating serverless applications using the AWS SAM CLI. This article is a part of the three-article series “Develop and Deploy Serverless Applications with AWS SAM CLI”. If you already know about the working principle of the AWS SAM CLI, you may proceed with this; otherwise, I would highly recommend reading my previous article on the series, Getting started with the AWS SAM CLI, where I talk about the introduction to the AWS Serverless Application Model and its workflow.

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Ben Richardson
A bar chart which is the output of applying the advanced filter

Power BI Visuals: Working with Filters

August 18, 2020 by

Power BI is a data analytics tool that can be used to analyze data with the help of Power BI visuals.

Power BI is a Microsoft application and is available as a desktop application as well as a cloud service. It comes with a variety of visual and filtering options that can be used to create Power BI visuals.

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