Amazon Redshift Numeric: 3 Data Types Simplified September 27th, 2021 By Talha in Data Warehousing, Redshift Integer, Decimal and Floating-Point form three key Amazon Redshift Numeric data types. Leveraging these data types effectively while creating Amazon Redshift tables allows you to store and analyze data at…
Redshift Cast Functions 101: Syntax and Queries Simplified September 21st, 2021 By Amit Kulkarni in Data Warehousing, Redshift Organizations accompanying traditional data warehouses not only witness storage limitations but also struggle to process the rising rate of data. However, Amazon Redshift provides a fast, reliable, and cloud-based data…
Building a Big Data Technology Stack: Made Easy January 7th, 2021 By Nicholas Samuel in Data Strategy Numerous technological advancements and Big Data initiatives have led to the diversification of the data community. The term Big Data is no longer only about the Hadoop technology stack, rather,…
SNS Lambda Trigger Functions & Events: Simplified 101 April 18th, 2022 By Samuel Salimon in Data Strategy AWS Lambda and Amazon SNS work seamlessly together, allowing you to trigger Lambda functions using Amazon SNS notifications. When a message is published to an SNS topic with a Lambda…
Step-by-Step Guide to Setting Up Amazon Redshift JDBC Driver Connection October 15th, 2020 By Nicholas Samuel in Data Warehousing, Redshift Are you looking to set up an Amazon Redshift JDBC (Java Database Connectivity) Driver connection? Amazon Redshift is a fully managed, scalable, and fast Data Warehouse that allows companies to…
SQL Batch Processing: A Comprehensive Guide 101 May 5th, 2022 By Shubhnoor Gill in Database Management System, MySQL Batch Processing is essential for corporations and organizations to effectively manage massive volumes of data. It's particularly well-suited to managing regular, repetitive tasks. Batch Processing operations are supported by SQL…
How to Connect Excel to Google Data Studio Easily? July 17th, 2020 By Vivek Sinha in Data Integration, Looker Studio Are you trying to import your data from Excel to Google Data Studio for visualization? If yes, then you have landed in the right place. Data Studio is a business…
Taboola vs Outbrain: 5 Critical Differences August 13th, 2021 By Ayush Poddar in Data Strategy, Versus When it comes to Content & Digital Marketing, the choice of Taboola vs Outbrain is a difficult one.Top publishers utilize Taboola to track reader engagement and spread content across major…
Google BigQuery vs Azure Synapse: 5 Critical Differences February 2nd, 2022 By Davor DSouza in BigQuery, Data Warehousing, Versus Cloud Computing has played a critical role in transforming the global business landscape. Companies no longer need to worry about data storage resources because cloud service providers can provide these…
MongoDB Compass Windows Installation: 6 Easy Steps February 15th, 2022 By Muhammad Faraz in Database Management System, MongoDB MongoDB Compass is a fantastic tool for anyone who doesn't know how to use command-line queries to interpret and manipulate data. MongoDB Compass can easily be downloaded and then installed…
Understanding Airflow BigQuery Operators: 4 Critical Aspects September 20th, 2021 By Karan Singh Pokhariya in BigQuery, Data Warehousing This article introduces you to Google BigQuery and Airflow BigQuery Operators. It also provides a comprehensive guide for a better understanding. This article makes it easy for you to understand…
Spatial and Temporal Data Mining: Key Differences Simplified 101 May 31st, 2022 By Vishal Agrawal in Data Strategy Spatial means space, whereas temporal means time. Spatial Data Mining refers to the process of extraction of knowledge, spatial relationships, and exciting patterns that are not explicitly stored in a…
MongoDB Filtering: What It Is and Key Aspects Explained June 3rd, 2022 By Sanchit Agarwal in Database Management System, MongoDB With the exponentially growing semi-structured and unstructured data on the web, it becomes essential for businesses to look out for a robust database management system. MongoDB has become the popular…
How to Use BigQuery STRING_AGG Function? Explained in 3 Easy Steps December 13th, 2021 By Hitesh Jethva in BigQuery, Data Warehousing While you are working with a large number of values in Google BigQuery, it's generally useful to be familiar with some of the regularly used SQL aggregation functions, such as…
How to Export Microsoft Excel to Jira: 3 Easy Steps November 5th, 2021 By Davor DSouza in Data Integration Employees, divisions, and projects all increase in lockstep as your organization expands. As the number of your cross-functional teams grows, ensuring effective communication and data accuracy becomes more and more…
Connect Microsoft SQL Server to S3: 8 Easy Steps May 21st, 2021 By Manik Chhabra in Data Integration, SQL Server Cloud-based data storage solutions have now become the preferred choice for most modern businesses. This is primarily because leveraging a Cloud-based database makes it easier for businesses to ensure that…
8 Best Salesforce Customers in 2025 January 11th, 2023 By Ayush Poddar in Data Strategy, Sales Operations In modern businesses, CRM (Customer Relationship Management) solutions have become a necessity. CRM softwares are used by businesses to engage and establish relationships with Leads and customers. Salesforce is one…
MongoDB Compass Mac OS Installation: 2 Easy Steps February 15th, 2022 By Muhammad Faraz in Database Management System, MongoDB In this article, you will learn how to install MongoDB Compass on Mac OS. You will just have to follow the following six simple and easy steps in order to…
How to Easily Perform Stripe Shopify Integration? October 11th, 2021 By Abhinav Chola in Data Integration The advent of digital technology has led to most small and medium businesses being run as online stores. This trend has increased the demand for online platforms that enable users…
BigQuery Jupyter Notebook Connection: Easy Steps to Simplify Analytics & Visualization March 11th, 2022 By Ishwarya M in BigQuery, Data Integration BigQuery is one of the most prominent Big Data Warehouses, which allows you to store, manage, and analyze colossal amounts of data. It comes with a built-in query engine to…