Recent Articles

Debezium Engine 101: Change Data Capture Simplified

June 14th, 2024 By Talha in Data Strategy

When a Debezium connector is connected to databases, it tracks real-time changes in databases and generates change data events. These change data events are written to Kafka and then accessed…

Top 10 Data Integration Techniques and Strategies in 2025

June 14th, 2024 By Sanchit Agarwal in Data Integration

Modern data firms need data siloed away at different locations to be in an analysis-ready form in a unified data repository. This approach of combining data from multiple applications into…

How to Create, Interact, & Manage Snowflake Secure Views:?

June 14th, 2024 By Yash Arora in Data Warehousing, Snowflake

Securing sensitive information is essential for businesses today. And, in the category of sensitive information, comes the underlying tables and internal structural details that might get exposed in the user…

Amazon Redshift Bulk Load: 2 Easy Methods

June 14th, 2024 By Talha in Data Warehousing, Redshift

Are you looking to perform Amazon Redshift bulk load? If yes, you are in the right place! Redshift is Amazon's fully managed, NoOps, low-cost analytics data warehouse in the cloud.…

What Are The Top Data Extraction Tools For 2025: Detailed Comparison

June 7th, 2024 By Chirag Agarwal in Data Strategy

As a data professional, you’re no stranger to the challenge of managing large volumes of data from diverse sources. The old-school method of copy-pasting data is not only time-consuming but…

Snowflake Storage Integration: The Only Guide You Need for Configuring

June 7th, 2024 By Chirag Agarwal in Data Warehousing, Snowflake

What are the methods you follow for storing your data from a staging area to Snowflake? Snowflake storage integration is a way which allows easy authentication without directly giving credentials…

Enhance Data Management with Snowflake Create Schema

June 7th, 2024 By Nitin Birajdar in Data Warehousing, Snowflake

A schema is a logical representation of how data is organized into tables. Before importing any dataset into a data warehouse platform like Snowflake, it is necessary to understand how…

Enhance Data Integrity With Snowflake Date Format

June 7th, 2024 By Sarad Mohanan in Data Warehousing, Snowflake

Data and time information are essential for accurately capturing, organizing, and processing data for effective data management. These functions help you extract information from the storage system in a logical…

Snowflake Current Date: Efficient Date-Based Function

June 7th, 2024 By Anaswara Ramachandran in Data Warehousing, Snowflake

Date and time functions are crucial when extracting information from large datasets. Imagine a situation where you have to make marketing decisions based on seasonal trends and product performance. You…

Comprehensive Guide to Snowflake Cortex and Its AI/ML Functions

June 7th, 2024 By Suraj Poddar in Data Warehousing, Snowflake

Snowflake is a data warehouse that provides various services for advanced data analytics. Snowflake Cortex is one such service. It is a fully managed feature that offers you a set…

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…

What is Data Streaming? A Comprehensive Guide 101

June 7th, 2024 By Pratik Dwivedi in Data Engineering, Data Streaming

Real-time data is the need of the hour for businesses to make timely decisions, especially in cases of fraud detection or customer behavior analysis. Relying on traditional batch processing is…

Build & Deploy AWS Lambda GraphQL APIs: 2 Easy Steps

June 7th, 2024 By Arsalan Mohammed in AWS, Data Strategy

Organizations continuously update their applications and services to keep them up to date with the technology. Modern applications stream data using APIs while delivering smooth performance. Large websites and applications…

How to Setup Spark Real-time Streaming? 2 Easy Methods

June 7th, 2024 By Ishwarya M in Data Engineering

In today's data-driven world, a colossal amount of data is generated from sensors, IoT devices, social networks, online transactions, and more. In order to harness the power of continuously generated…

AWS Apache Airflow: Managed Workflows for Apache Airflow (MWAA)

June 7th, 2024 By Raj Verma in AWS, Data Strategy

Automation plays a key role in improving production rates and work efficiency in various industries. Airflow is used by many Data Engineers and Developers to programmatically author, schedule, and monitor…

6 Must-know Advantages of Data Replication

June 7th, 2024 By Preetipadma Khandavilli in Data Engineering

An automated data replication process is particularly essential for data-driven organizations as they produce a colossal amount of digital information daily. However, the advantages of data replication are not limited…