Data Warehousing

Athena vs Redshift Serverless: The Ultimate Guide on Data Query Service

April 20th, 2024 By Suraj Kumar Joshi in Data Warehousing, Redshift, Versus

Corporations deal with massive amounts of data these days. As the amount of data increases, handling the incoming information and generating proper insights becomes necessary. Selecting the right data management…

Snowflake vs Redshift: 6 Critical Differences

April 12th, 2024 By Sarthak Bhardwaj in Data Warehousing, Redshift, Snowflake, Versus

Huge performance-boosting opportunities await those who choose the optimal data warehouse for their business. Identifying custom data points that steer your organizations' successful outcomes is crucial. Decision-making is optimized through…

Redshift vs BigQuery: 7 Critical Differences

April 12th, 2024 By Veeresh Biradar in BigQuery, Data Warehousing, Redshift, Versus

As analytics in your company graduates from a MySQL/PostgreSQL/SQL Server, a pertinent question that you need to answer is which data warehouse is best suited for you. This blog tries…

Amazon Redshift vs Druid: 8 Critical Differences

April 12th, 2024 By Veeresh Biradar in Data Warehousing, Redshift, Versus

More data has been created in the past two years than was ever created in human history. With the exploding volumes of data, people are now looking for data warehouse…

Amazon Redshift vs Netezza: 4 Critical Differences

April 12th, 2024 By Dimple M K in Data Warehousing, Redshift, Versus

In today’s world where Analytics is the backbone of the progress of any business, there are many established technology players who are providing equally good solutions for Data Warehousing. In…

Amazon Redshift Serverless: A Comprehensive Guide

April 5th, 2024 By Radhika Sarraf in Data Warehousing, Redshift

As businesses continue to generate massive amounts of data, the need for an efficient and scalable data warehouse becomes paramount. Amazon Redshift has always been at the forefront of providing…

Amazon Redshift ETL – Top 3 ETL Approaches for 2025

April 5th, 2024 By Suraj Poddar in Data Warehousing, Redshift

Amazon Redshift is a completely managed Data Warehouse, offered as a cloud service by Amazon. It can scale up to petabytes of data and offers great performance even for complex…

Snowflake Features: 8 Comprehensive Aspects

April 5th, 2024 By Suraj Poddar in Data Warehousing, Snowflake

Snowflake is a Cloud-Based Data Warehouse created in 2012 by three Data Warehousing professionals. Six years later, the firm was valued at $3.5 billion after receiving a $450 million venture…

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…

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…