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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Aveek Das
Console output from the above snippet

Working with JSON data in Python

March 30, 2021 by

In this article, I am going to write about the various ways we can work with JSON data in Python. JSON stands for Java Script Object Notation and has become one of the most important data formats to store and transfer data across various systems. This is due to its easy-to-understand structure and also because it is very lightweight. You can easily write simple and nested data structures using JSON and it can be read by programs as well. In my opinion, JSON is much more human-readable as compared to XML, although both are used to store and transfer data. In modern web applications, by default JSON is being used to transfer information.

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Dinesh Asanka
Implementing Tune Model Hyperparameters in Azure Machine Learning

Tune Model Hyperparameters for Azure Machine Learning models

March 25, 2021 by

Introduction

In this article, we will be discussing how to Tune Model Hyperparameters to choose the best parameters for Azure Machine Learning models. 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 until today in this article series.

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