Popular Articles

Mastering Oracle Data Load: A Comprehensive Guide

June 28th, 2024 By Skand Agrawal in Data Strategy

Oracle data load is an essential process for organizations wanting to import and manage large volumes of data within Oracle databases. This process helps keep the Oracle cloud applications, Oracle…

AWS Glue Workflow Made Easy: How to Create & Build in 3 Steps

June 19th, 2024 By Yash Arora in AWS, Data Strategy

With the ability to integrate data faster and at scale, AWS provides organizations with product offerings that are serverless and fully managed — indeed, very helpful for organizations that aim…

How to Adapt Apache Iceberg for High-scale Streaming Data

July 4th, 2024 By Srujana Maddula in Data Engineering, Data Streaming

Real-time data requires processing and analytics tasks to be performed within seconds. Organizations often struggle to store and process this data quickly enough. High throughput, large volumes, different data formats,…

A Guide to Snowpark in Snowflake[+4 Tips to Get the Most Value from Snowpark]

June 20th, 2024 By Amit Phaujdar in Data Warehousing, Snowflake

Traditionally, when working with Spark workloads, you would have to run separate processing clusters for different languages. Capacity management and resource sizing are also a hassle. Snowpark in Snowflake: Spark…

Aurora MySQL Integration: Maximizing Cost Efficiency with 2 Easy Methods

April 5th, 2024 By Suraj Kumar Joshi in AWS, Data Integration

Managing databases is an essential part of business. It helps you store and retrieve data on the go. With the latest technologies in the market, deciding which database management system…

Getting Started with Snowflake Materialized Views

September 10th, 2024 By Suraj Poddar in Data Warehousing, Snowflake

In Snowflake, the views are crucial for organizing, selecting, and retrieving data while not copying the data itself. Instead, if performance is a concern—such as in querying large data sets—then…

Cloud Migration- Process, Types, and Strategy

February 2nd, 2024 By Boudhayan Ghosh in Data Strategy

Cloud Migration is one of the most crucial areas of the data science ecosystem. As data is growing more rapidly than ever, analyzing the data is becoming even more important…

Fivetran vs Informatica: The Definitive ETL Tool Comparison for 2026

April 23rd, 2025 By Chirag Agarwal in Data Strategy, Versus

KEY TAKEAWAY Choose Fivetran if you want fast and automated ELT pipelines with minimal setup. Ideal for cloud-first analytics teams that need pre-built connectors and low maintenance overhead. Choose Informatica…

AWS DMS Postgres: Migration Made Easy

August 6th, 2024 By Skand Agrawal in AWS, Data Integration, PostgreSQL

In today’s dynamic business environment, companies often need to migrate their databases for many different reasons, ranging from scaling their operations to modernizing their technology stack or moving to the…

Enterprise Data Lake: A Simplified Guide

April 20th, 2024 By Saloni Agarwal in Data Strategy

In the early 2000s, organizations started dealing with more semi-structured and unstructured data, which consisted of images, videos, log files, text, and sensor data. They needed a storage solution that…

Fivetran vs Airflow: Choose the Right ELT Solution

April 23rd, 2025 By Chirag Agarwal in Platform, Product

Key Takeaways Choosing between Fivetran and Airflow for data integration depends on technical requirements, budget, and team capabilities. Below are the key differences to consider: Comparison Factor 1: Ease of…

JSON SQL Server: Swift Data Integration Methods

March 29th, 2024 By Saloni Agarwal in Data Integration, SQL Server

Data is your business's lifeblood. Analyzing business data can help you gain insights to generate reports and create a strategic business plan. If you have large datasets in JSON format,…

How to Integrate DynamoDB to S3 Within 1 Minute?

October 28th, 2024 By Kamlesh in AWS, Data Integration

Interactive Demo to Connect DynamoDB to S3 Using Hevo Steps to Connect DynamoDB to S3 Easily Step 1: Configure DynamoDB as your source. Click on the ‘Create Pipeline’ button. Search…

dbt vs Airflow: A Comprehensive Guide

August 21st, 2024 By Muskan Kesharwani in Data Engineering

Data has become the foundation of any successful business. The ability to efficiently extract, transform, and load data for analysis is crucial for making informed data-driven decisions. Therefore, the tools…

Data Ingestion Azure Data Factory: What, Why and How?

June 20th, 2024 By Manjiri Gaikwad in Data Ingestion, Data Strategy

As data collection within organizations proliferates rapidly, developers are automating data movement through Data Ingestion techniques. However, implementing complex Data Ingestion techniques can be tedious and time-consuming for developers. As…

What is the Difference Between Microsoft Fabric and Databricks?

November 14th, 2024 By Srujana Maddula in Data Warehousing, Versus

Data management has evolved from simple table storage to data lakes and warehouses. With organizations handling data in various formats and storage structures, platforms like Microsoft Fabric and Databricks are…

How to Implement Snowflake dbt Integration Step by Step

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

The exponential data growth has increased the demand for tools that make data processes, such as data collection, integration, and transformation, as smooth as possible. These tools and technologies can…

Google Analytics to Amazon Aurora: 2 Easy Ways to Integrate Data

August 17th, 2023 By Tejaswini Kasture in Data Integration

Google Analytics is a popular web analytics platform that provides both real time analytics. However, replicating data from Google Analytics to Amazon Aurora offers several advantages. First, it enables you…

How dbt Semantic Layer Simplifies Data for Decision-Making

August 22nd, 2024 By Khawaja Abdul Ahad in Data Strategy

Data is a productive asset, but it is also becoming complex. As organizations grow and accumulate vast amounts of data, managing data becomes a challenge. Raw data becomes overwhelming, especially…

Mastering Google BigQuery ML: A Simplified 101 Guide

June 20th, 2024 By Suraj Poddar in BigQuery, Data Warehousing

Nowadays, Machine Learning plays a vital role in making calculated decisions and predictions on data. Terabytes of data are generated daily and stored in Data Warehouses and Data Lakes to…