Working with Percentile_Cont BigQuery Function Made Easy December 23rd, 2021 By Samuel Salimon in BigQuery, Data Warehousing Data is an increasingly valuable asset for companies, and the question of where to store it becomes more urgent. If you do not have the time or knowledge to maintain…
Connect Redshift to Power BI: A Comprehensive Guide July 7th, 2020 By Oshi Varma in Data Integration, PowerBI, Redshift Do you want to visualize your Amazon Redshift data using an amazing BI software like Power BI? If yes, then you have landed in the right place. Visualization plays a…
AWS SQS ReceiveMessage: Syntax, Importance, Parameters & Examples April 25th, 2022 By Samuel Salimon in Data Integration AWS Simple Queue Service (SQS) lets you decouple and communicate between components of a distributed system through a fully managed messaging system. Messages can be sent, stored, and received at…
MongoDB Storage for Efficient Structuring of Data Simplified 101 February 23rd, 2022 By Manisha Jena in Database Management System, MongoDB One of the common challenges that every growing business faces are the ability to efficiently handle the exponentially growing data. Apart from the Traditional Relational Databases, organizations are now using…
How to Move Data from AWS RDS to Snowflake? 2 Simple Methods November 16th, 2021 By Sarad Mohanan in Data Integration, Snowflake In today's marketplace, in most cases, you will find that businesses have a different database to store transactions such as Amazon RDS, and a Warehouse such as Snowflake for carrying…
Migrating Google Sheets to PostgreSQL: 2 Easy Methods March 30th, 2020 By Rashid Y in Data Integration, PostgreSQL Easily move your data from Google Sheets to PostgreSQL to enhance your analytics capabilities. With Hevo’s intuitive pipeline setup, data flows in real-time—check out our 1-minute demo below to see…
Salesforce Marketing Cloud Data Extensions: Easy Guide 101 September 9th, 2020 By Talha in Data Strategy In this post, we will look at how to work with Salesforce Marketing Cloud Data Extensions. You will learn what Data Extensions are, the different types of Salesforce Marketing Cloud…
MySQL to MongoDB: 5 Easy Steps to Replicate Data April 3rd, 2023 By Raj Verma in Data Integration, MongoDB, MySQL MySQL is one of the most widely used open-source Relational Database Management Systems (RDMS) in the world. It is built to store and manage relational data in a tabular format…
MySQL High Availability and Replication: A Complete Guide April 20th, 2022 By Ishwarya M in Data Integration, MySQL Every organization often uses a variety of business-critical databases and applications, such as Data Warehouses, Customer Relationship Management (CRM) Systems, E-commerce & Supply Chain Management Applications, and Financial & Business…
Confluence REST API: Features, Types, Examples October 26th, 2021 By Preetipadma Khandavilli in Data Strategy, Rest API In the following sections, we shall learn how Confluence REST APIs work, and their features along with some examples. The demand for APIs is booming in parallel with the increasing…
How to Set Up Excel Python Integration: 2 Simple Methods April 6th, 2023 By Amit Phaujdar in Data Integration Microsoft Excel was developed as a tool for creating spreadsheets for your operations to help you organize your data and perform analysis on that data. Along with this it also…
Creating a MongoDB Stored Procedure 101: Syntax & Examples Simplified February 7th, 2022 By Hitesh Jethva in Database Management System, MongoDB MongoDB is an Open-Source Document-Oriented Database that helps build applications and sites without database configuration. Companies recommend using Relational Database Management Systems in most cases to store and retrieve data.…
Building Apache Spark Data Pipeline Made Easy 101 April 21st, 2022 By Harshitha Balasankula in Data Engineering, Data Pipeline A Data Pipeline is a system for transporting data from one location (the source) to another (the destination) (such as a data warehouse). Data is transformed and optimized along the…
Message Brokers: Key Models, Use Cases & Tools April 19th, 2022 By Manisha Jena in Data Strategy Modern applications are becoming increasingly complex. Time-consuming and resource-intensive operations, communication between multiple services, and processing large amounts of data are just a few of the issues that developers face.…
Working with PostgreSQL Subquery | A 101 Guide July 15th, 2022 By Manisha Jena in Database Management System, PostgreSQL While writing queries in PostgreSQL, there would be some situations where you would be tired of selecting all the records and then filtering them. And also, filtering them would require…
Types of Data Models: A Comprehensive Guide 101 April 3rd, 2023 By Sharon Rithika in Data Strategy Data Modeling is the process of cleansing and organizing data into a visual representation or plan that aids in the mapping out of database relationships and operations. Various types of…
Snowflake Grant Role to User: 101 Simplified March 14th, 2022 By Nicholas Samuel in Data Warehousing, Snowflake Snowflake is a popular Data Warehouse that allows businesses to easily store and process enormous amounts of data. It also provides a variety of analytical solutions that are intended to…
Google BigQuery Aggregate Functions: Simplified 101 September 29th, 2021 By Nicholas Samuel in BigQuery, Data Warehousing Google BigQuery is a Cloud Storage platform provided by Google. It provides its users with an online platform where they can store their data. Google BigQuery offers many benefits to…
BigQuery Tutorial for Beginners: A Comprehensive Guide 101 October 14th, 2020 By Lahu Bhawar in BigQuery, Data Warehousing This article is basically focused on providing a comprehensive BigQuery Tutorial. You will also gain a holistic understanding of Batch Processing, its key features, Spring framework, Spring Batch, and a…
Understanding Aggregate Data Models in NoSQL Simplified 101 April 27th, 2022 By Aditya Jadon in Data Strategy Over the last few years, companies started using modern applications with flexible data requirements to run their business activities. Relational Databases have predefined schemas and cannot satisfy the changing data…