Nisarg Upadhyay
Job execution history

Automate SQL database backups using Windows Task Scheduler

April 15, 2021 by

In this article, we will learn how we can automate the backup of SQL database created in SQL Server Express edition. SQL Server Express edition is a lightweight database that has limited functionalities and resource allocation. The SQL Server Express edition does not support SQL Server Agent jobs, so it is tricky to automate various database administration tasks.

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Dinesh Asanka
Recommender System in Azure Machine Learning.

Designing Recommender Systems in Azure Machine Learning

April 13, 2021 by

In this article, we will be discussing how to design a Recommender System in Azure Machine learning which is the next article in the Azure Machine Learning series. During this lengthy article series on Azure Machine Learning, we have discussed multiple machine learning techniques such as Regression analysis, Classification Analysis, Clustering and Anomaly detection of Time Series. Further, we have discussed the basic cleaning techniques, feature selection techniques and Principal component analysis, Comparing Models and Cross-Validation and Hyper Tune parameters in this article series to date.

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Aveek Das
Overview of Apache Spark Architecture

Introduction to Apache Spark

April 12, 2021 by

In this article, I am going to discuss Apache Spark and how to create robust ETL pipelines for transforming big data. I will start from the very basics of Spark and then provide details on how to install Spark and start building the pipelines. In the later part of the article, I will also discuss how to leverage the Spark APIs to do transformations and obtain data into Spark data frames and SQL to continue with the data analysis.

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Rajendra Gupta

An overview of Power BI data models

April 12, 2021 by

Power BI is a business analytics solution provided by Microsoft. It helps you to create data visualizations from various data sources. We can import data from these data sources, create a data model, and prepares reports, visuals. These data sources are as below:

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Nisarg Upadhyay
drag-drop index maintenance task

Automate rebuilding SQL Database indexes using Maintenance Plans

April 9, 2021 by

Index maintenance is a vital part of a database administrator’s job. I have worked for few clients who often face performance issues in SQL Database and don’t have a dedicated DBA. I remember that one of our clients was facing performance issues. I logged in to their server and found that they did not set up any index maintenance jobs; therefore, many indexes were fragmented, causing the problem.

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Dinesh Asanka
Select Tables and Views to create the OLAP Cube.

Multi-language support for SSAS

April 8, 2021 by

Introduction

After discussing many features in SQL Server Analysis Services (SSAS) in order to carry out much richer analytics activities, we are going to discuss another feature in SSAS named Multi-language support for SSAS. In a previous article, we discussed how to create SSAS OLAP Cubes and how to access the OLAP cube using Excel. Further, we discussed how to include hierarchies in SSAS in order to improve the data analysis capabilities. In addition to those features, we discussed how to create perspectives in OLAP Cubes and how to perform management activities in SSAS.

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Prashanth Jayaram

Stairway to SQL essentials

April 7, 2021 by

SQL Essentials stairway series helps readers understand the most common database language SQL uses for data munging and data wrangling. SQL Essentials articles is a collection of SQL standards and best practices and help you take you in step closer to learn database query.

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Aveek Das
Creating a new table in AWS Athena

Getting started with Amazon Athena and S3

April 7, 2021 by

In this article, I am going to discuss Amazon Athena and how we can analyze data stored in S3 using Athena. As you might know, Amazon’s AWS has a lot of services in the field compute, databases, analytics, machine learning, and robotics, one of the most important and popular services is Amazon Athena. By the official definition, “Amazon Athena is an interactive query service that makes it easy to analyze data in Amazon S3 using standard SQL. Athena is serverless, so there is no infrastructure to manage, and you pay only for the queries that you run.”

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Hadi Fadlallah
list all created indexes in Neo4j

Export indexes and constraints from SQL Server graph databases to Neo4j

April 6, 2021 by

In our previously published article in this series, we explained how to migrate SQL Server graph tables into Neo4j and why migration could be beneficial. We only mentioned how to migrate node and edge tables, and we did not mention indexes and constraints. This article is an extension of the previous one, where we will explain how to export the supported indexes and constraints from SQL Server to the Neo4j graph database. In addition, all codes are added to the project we already published on GitHub.

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Aveek Das
Using the iterable unpacking operator in python - arguments in python

Understanding *args and *kwargs arguments in Python

April 2, 2021 by

In this article, I am going to talk in detail about the functions and arguments in Python. Python is one of the most popular and in-demand programming languages. Recently, a lot of programmers are gaining interest to work with python and as such, there is a huge community around it that is constantly evolving. Python is also considered to be one of the most flexible languages as it can be used to develop web-based applications, REST APIs as well as can also be used significantly in the scientific computation world to deal with data analysis and machine learning.

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Rajendra Gupta
compute tier behaviour

Automatic Pause and Resume of an Azure SQL database

April 2, 2021 by

Azure SQL Database is an Infrastructure-as-a-Service component for migrating your on-premises SQL Server to cloud infrastructure. We always look for performance, cost, and scaling resources while we plan resources in the cloud. Many times, we do not want our databases running 24*7*365. Suppose you have a development or training database. Your developers work during the daytime on the weekdays. If you deploy an Azure SQL Database, you don’t get an option to stop it. You get charged for it whether you use it actively or not.

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Dinesh Asanka
Filtering the anomalies in the time series.

Time Series Anomaly Detection in Azure Machine Learning

April 1, 2021 by

In this article, we will be discussing how to use Time Series Anomaly Detection in Azure Machine Learning and this article comes next in the Azure Machine Learning series. During this article series on Azure Machine Learning, we have discussed multiple machine learning techniques such as Regression analysis, Classification Analysis and Clustering. Further, we have discussed the basic cleaning techniques, feature selection techniques and Principal component analysis, Comparing Models and Cross-Validation and Hyper Tune parameters until today in this article series.

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