Data Warehousing

Amazon Redshift vs Hadoop: Which Is Right for Your Data?

March 29th, 2024 By Sarad Mohanan in Data Warehousing, Redshift, Versus

Apache Hadoop and its map-reduce programming model started the big data revolution back in 2006. The core of the offering was a distributed file system abstraction built over commodity hardware…

Amazon Redshift Architecture: 8 Important Components

March 29th, 2024 By Sourabh Agarwal in Data Warehousing, Redshift

Amazon Redshift is a fully managed highly scalable Data Warehouse service in AWS. You can start using Redshift with even a few GigaBytes of data and scale it to PetaBytes…

Amazon Redshift vs PostgreSQL Comparison

March 22nd, 2024 By Vivek Sinha in Data Warehousing, Redshift, Versus

In this post, you will explore the similarities and the differences between the two Data Warehouse choices - Redshift Vs Postgres, specifically in terms of factors that are critical to…

Redshift Vacuum and Analyze: 4 Critical Aspects

March 22nd, 2024 By Sarad Mohanan in Data Warehousing, Redshift

Amazon Redshift is a petabyte-scale data warehouse, managing such mammoth disk space is no easy job. Unlike traditional databases which have limited disk space and performs housekeeping activity without user…

Amazon Redshift COPY Command: Step-by-Step Explanation

March 22nd, 2024 By Vivek Sinha in Data Warehousing, Redshift

Increasingly, businesses are moving towards completely managed data warehouse services. This is because of the flexibility and ease of maintenance offered by them. Amazon Redshift makes a strong proposition among…

AWS Redshift: Features, Pricing & Best Practices

March 22nd, 2024 By Sarad Mohanan in Data Warehousing, Redshift

As businesses continue to generate massive amounts of data, finding a scalable and cost-efficient way to store, manage, and analyze it is essential. Enter AWS Redshift, Amazon’s fully managed cloud…

What is a Data Lakehouse?

February 2nd, 2024 By Jalaj Jain in Data Warehousing

Data-driven organizations are searching for different storage solutions to manage the latency, volume, and resilience of big data and analytics. Initially, businesses used existing data lakes and warehouses in their…

Kafka batch processing using Spring Boot: 4 Easy Steps

December 27th, 2023 By Arsalan Mohammed in Data Warehousing, Kafka

Processing large volumes of data efficiently is critical for many modern applications. Kafka provides an excellent publish-subscribe messaging system for handling real-time data feeds, but its batch-processing capabilities are less…

BigQuery Timestamp to Date Conversion: Data Transformation

December 27th, 2023 By Osheen Jain in BigQuery, Data Warehousing

When working with data in BigQuery, you may encounter timestamp fields that you want to convert to simple date values instead. Timestamps in BigQuery are represented as strings in the…

Kafka Console Producer: Master Data Streaming with Kafka

December 27th, 2023 By Shubhnoor Gill in Data Warehousing, Kafka

Have you considered the simplest way to write and read messages from Kafka? If not, in this article you will discover how you can use Kafka Console Producer to write…

BigQuery INSERT and UPDATE Commands : For Efficient Data Management

December 20th, 2023 By Sarad Mohanan in BigQuery, Data Warehousing

Unlike its peers, BigQuery is serverless and hence provides services dynamically, which means that no provisioning or hardware management is required from the user. This blog will introduce you to…

Simplify Data Handling with BigQuery IFNULL and NULLIF

December 13th, 2023 By Muhammad Faraz in BigQuery, Data Warehousing

With BigQuery, Google makes it easy to access tons of data with analysis, optimized results, and better performance and availability. It is a serverless database, and there is no infrastructure to…

DataStore to BigQuery: 2 Easy Ways to Load Data

May 4th, 2023 By Amit Phaujdar in BigQuery, BigQuery, Data Integration, Data Warehousing

BigQuery is a Google Data Warehouse with built-in Geographic Data Intake, Storage, and Analysis tools. To handle complex data and examine massive datasets, it uses ordinary SQL Queries. Google DataStore…

6 Critical Differences Between Amazon Redshift vs Azure Synapse

April 26th, 2023 By Amulya Reddy in Data Warehousing, Redshift, Versus

For many years, data warehouses have been crucial for enterprise analytics and reporting. However, traditional data warehouses were not designed to cope with the rapid growth of data. As a…

Best Redshift Reporting Tools for 2025

March 25th, 2023 By Syeda Famita Amber in Data Warehousing, Redshift

Amazon Redshift is one of the most renowned data Warehouses on the market that provides great functionality and efficiency. It stores large amounts of raw data that is extracted from…

dbt Incremental BigQuery: How to Optimize Data Transformations

February 28th, 2023 By Manjiri Gaikwad in BigQuery, Data Warehousing

It is essential to keep track of the modifications in data at the source to create a single source of truth with centralization. However, updating and adding data to the…

3 Easy Steps to Create an Incremental Model Using Dbt Snowflake

February 27th, 2023 By Manjiri Gaikwad in Data Warehousing, Snowflake

Digital events are a significant source of information for organizations to understand their customers better. Businesses, from e-commerce to SaaS and healthcare, use events from digital interactions to obtain unique…

Best Snowflake IDE and Query Editors to use in 2025

January 12th, 2023 By Orina Mark in Data Warehousing, Snowflake

Snowflake has positioned itself as a top-tier data warehousing platform synonymous with successful companies all over the globe. With high-level data warehousing functionality, companies can analyze historical data and draw…

Best Kafka Connectors in 2025

January 10th, 2023 By Raj Verma in Data Warehousing, Kafka

Kafka Connect is basically a set of connectors that allow you to get data from an external Database straight into Kafka, and to put your data from Kafka into any…

Best Google BigQuery Public Datasets for 2025: 5 Useful Datasets

January 8th, 2023 By Orina Mark in BigQuery, Data Warehousing

It is no secret that data is precious, but Big Data is even better. With big data, you get a broader scope of research, which ultimately goes a great way…