Data Warehousing

Snowflake Data Pipeline : Move Data Efficiently

June 7th, 2024 By Veeresh Biradar in Data Warehousing, Snowflake

Integrating a database where you store all your in-house information into a cloud warehousing platform like Snowflake can be a beneficial step to consider. Data integration enables you to back…

Snowflake Data Model: The Ultimate Guide

June 7th, 2024 By Dimple M K in Data Warehousing, Snowflake

Data modeling is a crucial step in the data warehouse design process; it involves analyzing data sources and establishing the relationships between them. It is particularly beneficial in conceptualizing and…

A Comprehensive Guide to Building Snowflake Data Mesh

June 7th, 2024 By Skand Agrawal in Data Warehousing, Snowflake

Data mesh is a novel approach to framing data architecture in a decentralized manner. It enables individual domain teams within your organization to manage and control all tasks related to…

Mastering Snowflake Replication: A Comprehensive Guide to its Capabilities

June 7th, 2024 By Sarthak Bhardwaj in Data Warehousing, Snowflake

With large volumes of data generated daily, it might be challenging for you to store and manage the data efficiently. Database replication can solve this problem by creating and storing…

Snowflake TO_DATE: Level-Up your Data Transformation

June 7th, 2024 By Satyam Agrawal in Data Warehousing, Snowflake

Date and time are important data types for analyzing trends and patterns during data analysis. They also help manage deadlines and inventories by comparing changes in resources over a period…

Understanding Snowflake UI: An Easy Guide

June 7th, 2024 By Arsalan Mohammed in Data Warehousing, Snowflake

This article talks about Snowflake UI and provides information about its Database, Warehouse, Worksheet, and History pages. In addition to that, It also talks about other UI help and user…

Snowflake Common Table Expressions: Explained with Examples

June 7th, 2024 By Veeresh Biradar in Data Warehousing, Snowflake

Snowflake is a data warehousing solution offered as a Software-as-a-Service (SaaS) offering. It decouples storage and computes, thereby allowing you to pay separately for the two. It provides you with…

What is BigQuery Dataset ? The Ultimate Guide 101

June 7th, 2024 By Pratik Dwivedi in BigQuery, Data Warehousing

BigQuery datasets are a powerful feature of Google Cloud’s fully managed, serverless, and scalable data warehouse. They allow users to organize and manage large-scale data across different regions, perform lightning-fast…

Redshift Datepart Function 101: Syntax and Usage Simplified

June 7th, 2024 By Sanchit Agarwal in Data Warehousing, Redshift

With the emergence of Cloud Data Warehouses, enterprises are gradually moving towards Cloud storage leaving behind their On-premise Storage systems. This shift is observed owing to the high computing power…

Understanding BigQuery Information_Schema: Made Easy

June 7th, 2024 By Arsalan Mohammed in BigQuery, Data Warehousing

BigQuery is a cloud platform used by individuals and organizations for the storage of data. BigQuery organizes data into tables. The good thing with BigQuery is that it can scale…

Amazon Redshift UPDATE Statement: 3 Comprehensive Aspects

June 7th, 2024 By Amit Kulkarni in Data Warehousing, Redshift

Amazon Redshift provides a fast, reliable, and petabyte-scale Data Warehouse solution that effectively connects to Business Intelligence tools, assisting companies in gaining insights into their customers and business operations. To…

Understanding Databricks SQL: 16 Critical Commands

June 7th, 2024 By Amit Phaujdar in Data Warehousing

Databricks is an Enterprise Software company that was founded by the creators of Apache Spark. It is known for combining the best of Data Lakes and Data Warehouses in a…

Using Snowflake Timestamp: 3 Comprehensive Aspects

June 7th, 2024 By Dimple M K in Data Warehousing, Snowflake

Data and time are 2 very important aspects of your data. Whether you are working with data in real-time or not, it is important to know when a particular record…

Querying Snowflake Semi-Structured Data: 2 Critical Aspects

June 7th, 2024 By Dimple M K in Data Warehousing, Snowflake

Data is empowering; it can help transform your business. To enable that transformation, businesses are collecting and storing as much data as they can. But some of this data such…

BigQuery Snapshots: How to Create, Use & Query Table Snapshots Simplified 101

June 7th, 2024 By Skand Agrawal in BigQuery, Data Warehousing

In this article, you will gain information about Google BigQuery Table Snapshots. You will also gain a holistic understanding of Google BigQuery, its key features, usage of BigQuery Table Snapshots,…

Amazon Redshift Performance Tuning: 4 Best Techniques

June 7th, 2024 By Arsalan Mohammed in Data Warehousing, Redshift

Amazon Redshift is a data warehousing system that enables rapid, simple, and cost-effective analysis of large datasets from data warehouses and data lakes. It can give performance levels up to…

Streamline Collaboration with Snowflake Data Sharing

May 31st, 2024 By Skand Agrawal in Data Warehousing, Snowflake

Secure data sharing is a prominent feature of Snowflake that allows you to collaborate with others in the same region. This feature enables the secure transfer of specific database objects…

How to Use DATEDIFF Snowflake Function: A Comprehensive Guide

May 31st, 2024 By Dimple M K in Data Warehousing, Snowflake

Have you ever wondered how Snowflake’s date and time functions can enhance your organization’s data analysis capabilities? Consider a scenario where you must prepare a financial report by calculating the…

Snowflake Data Exchange: A Complete Guide to Get Started

May 31st, 2024 By Anaswara Ramachandran in Data Warehousing, Snowflake

How often does your data team use third-party data to make business decisions? Snowflake data exchange is a good step in that direction to turn your business data-driven. It creates…

Redshift First_Value and Last_Value Functions Made Easy

May 31st, 2024 By Dimple M K in Data Warehousing, Redshift

With the huge volumes of data being generated by enterprises today, businesses are looking for modernized means of data storage. On-premise storage options are associated with many limitations including lack…