Data Warehousing

BigQuery Time Travel: How to access Historical Data? | Easy Steps

March 21st, 2022 By Ishwarya M in BigQuery, Data Warehousing

BigQuery is one of the most popular and highly efficient analytics platforms that allow you to store, process, and analyze Big Data. In addition, BigQuery can process over 100 trillion…

How To Work With Confluent, Avro & Kafka Schema Registry

March 16th, 2022 By Ishwarya M in Data Warehousing, Kafka

Trillions of data are being handled and streamed through Kafka servers per day. However, Kafka servers only store and organize data received from producers and are not responsible for evaluating…

What is Zero Copy Cloning in Snowflake – Comprehensive Guide

March 16th, 2022 By Syeda Famita Amber in Data Warehousing, Snowflake

Snowflake's Data Cloud is based on a cutting-edge Data Platform that is available as Software-as-a-Service (SaaS). Snowflake provides data storage, processing, and analytic solutions that are faster, easier to use,…

BigQuery IAM Management 101: Defining Permissions & Access Controls Simplified

March 15th, 2022 By Samuel Salimon in BigQuery, Data Warehousing

All of us have heard and seen about Data Breaches and the damage they can cause, both financially and reputationally. As more and more of our decisions are based on…

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…

How does Redshift Schedule Query Work: Easy Explanation

March 11th, 2022 By Ofem Eteng in Data Warehousing, Redshift

Automating tasks in data analysis can save time and improve productivity, especially when managing routine operations. With Amazon Redshift’s Data API and EventBridge, Redshift Schedule Query becomes straightforward, helping you…

Using Snowflake JavaScript API for Stored Procedures Simplified 101

March 10th, 2022 By Yash Sanghvi in Data Warehousing, Snowflake

Companies use Data Warehouse to store and analyze their business data for making data-driven business decisions. Data plays an essential role in boosting the company’s performance. Business Intelligence tools need…

BigQuery Analysis: A Complete Guide to Exploratory Data Insights

March 9th, 2022 By Roxana Raducanu in BigQuery, Data Warehousing

Exploratory Data Analysis (EDA), also known as Data Exploration, is an approach for the Data Analysis Process that employs various techniques to better understand the data we have. EDA typically…

BigQuery Save Query: How to Save & Share Queries Simplified 101

March 9th, 2022 By Vishal Agrawal in BigQuery, Data Warehousing

Venturing into Data Science and deciding on a tool to use to solve a given problem can be challenging at times especially when you have a wide array of choices.…

Snowflake Roles & Access: A Comprehensive Guide 101

March 7th, 2022 By Yash Arora in Data Warehousing, Snowflake

Snowflake comes with a comprehensive collection of SQL commands for user and security management. These commands can only be run by users who have been given the OWNERSHIP privilege on…

Select Into Snowflake Command: Syntax and Examples Included

March 7th, 2022 By Yash Sanghvi in Data Warehousing, Snowflake

Snowflake is a Data Warehouse that uses AWS, Azure, or GCP resources in the background (you can select the cloud service provider as well as the region). It provides a…

Snowflake Query Data: 4 Important Commands

March 4th, 2022 By Nicholas Samuel in Data Warehousing, Snowflake

Snowflake Query Data makes it easy for you to use and scale Snowflake well to meet your changing storage needs. With Snowflake Query Data, you can easily add or remove…

Critical Kafka Producer Config Parameters Simplified

March 3rd, 2022 By Raj Verma in Data Warehousing, Kafka

Organizations today have access to a wide stream of data. Apache Kafka, a popular Data Processing Service is used by over 30% of Fortune 500 companies to develop real-time data…

IBM MQ vs Kafka: 5 Critical Differences

February 25th, 2022 By Shravani Kharat in Data Warehousing, Kafka, Versus

Today, large volumes of data are transmitted as messages between applications, systems, and services. In case an application isn't ready, or a service failure occurs, messages and transactions may be…

Debezium vs Kafka Connect Simplified: 3 Critical Differences

February 24th, 2022 By Ishwarya M in Data Warehousing, Kafka, Versus

Based on a report, Apache Kafka stores and streams more than 7 trillion real-time messages per day. However, fetching real-time messages from external sources or applications is a tedious process…

Master BigQuery Storage API in Minutes

February 21st, 2022 By Talha in BigQuery, Data Warehousing

BigQuery is a Serverless Data Warehouse that can store Petabytes of data. It provides a comprehensive SQL layer and high-performance querying ability. BigQuery comes with built-in Machine Learning support and…

8 Kafka CLI Crucial Commands: Comprehensive Guide

February 21st, 2022 By Aditya Jadon in Data Warehousing, Kafka

Apache Kafka is an event streaming platform widely used by companies for distributing events at high throughput and a publish-subscribe messaging system that makes users read and write data more…

Building BigQuery External Tables: Syntax, Usage, & Examples Simplified 101

February 15th, 2022 By Ofem Eteng in BigQuery, Data Warehousing

An External data source on BigQuery can be used to directly query data from diverse data locations even though the data is not stored in BigQuery. BigQuery gives you the…

Working With BigQuery Parameterized Queries: Made Easy 101

February 15th, 2022 By Ofem Eteng in BigQuery, Data Warehousing

As a Data-Centric Organization, there is the constant need to seek methods in simplifying your SQL scripts to run them smoothly without obstructions, if not, you could end up running…

Building a PostgreSQL Data Warehouse: A Comprehensive Guide

February 11th, 2022 By Yash Arora in Data Warehousing

To better understand the highly fragmented marketing data landscape, today's enterprises need tools and technologies that demystify market insights using a data-driven approach. The data today's enterprises possess has a…