Apache Airflow Use Cases and 5 Best Practices May 31st, 2024 By Arsalan Mohammed in Data Strategy Apache Airflow is a tool that can create, organize, and monitor workflows. It is open-source hence it is free and has a wide range of support as well. It is…
What are the 7 Critical Differences between Amazon Redshift vs Elasticsearch May 3rd, 2024 By Rohit Guntuku in Data Warehousing, Redshift, Versus Amazon Redshift is a Data Warehousing service. Redshift is based on the Amazon Web Services (AWS) architecture and provides great performance to its consumers. It's a columnar database, thus it's…
Mastering Snowflake DATE_PART Function for Powerful Date Operations May 31st, 2024 By Radhika Sarraf in Data Warehousing, Snowflake Working with dates and times is a common task in data analysis and reporting scenarios. Whether you're analyzing time-series data, generating reports based on specific date ranges, or performing complex…
Data Mining and Data Analysis: 4 Key Differences May 3rd, 2024 By Amit Phaujdar in Data Strategy, Versus Organizations that make decisions based on big data now have a significant competitive edge in solving challenges and planning for the future. Data is at the center of decision-making across…
What is BigQuery Dataset ? The Ultimate Guide 101 June 7th, 2024 By Pratik Dwivedi in BigQuery, Data Warehousing BigQuery datasets are a powerful feature of Google Cloud’s fully managed, serverless, and scalable data warehouse. They allow users to organize and manage large-scale data across different regions, perform lightning-fast…
Azure Blob Storage to Snowflake: Best Ways to Migrate Data March 22nd, 2024 By Riya Bothra in Data Integration, Snowflake Easily move your data from Azure Blob Storage To Snowflake to enhance your analytics capabilities. With Hevo’s intuitive pipeline setup, data flows in real-time—check out our 1-minute demo below to…
AWS RDS MSSQL to Databricks: Efficient Data Processing Strategy April 26th, 2024 By Saloni Agarwal in AWS, Data Integration Most organizations find it challenging to manage data from diverse sources efficiently. Amazon Web Services (AWS) enables you to address this challenge with Amazon RDS, a scalable relational database service…
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…
What is AWS Glue?: 4 Comprehensive Aspects April 5th, 2024 By Anmol Baunthiyal in AWS, Data Strategy With the vast sea of information that is growing every day, most organizations are looking toward Cloud-based solutions to collect, store and work on their data. Furthermore, the ETL process…
What is Data Replication? The Comprehensive 101 Guide May 17th, 2024 By Sarthak Bhardwaj in Data Replication, Tutorials One of the biggest challenges that most organizations face today is ensuring the high availability and accessibility of data over the complex set of networks they have in place. Having…
Kinesis vs Kafka: What’s the Best Choice for Your Data Pipeline May 10th, 2024 By Satyam Agrawal in Data Warehousing, Kafka, Versus Data is all around us. There is a firehose of information coming from social networks, financial trading floors, and geospatial services. Collecting, storing, and analyzing this type of high throughput…
HubSpot to Snowflake Integration: 2 Easy Methods May 17th, 2024 By Nathaniel Oliver in Data Integration, Snowflake Unlock the full potential of your Hubspot data by integrating it seamlessly with Snowflake. With Hevo’s automated pipeline, get data flowing effortlessly—watch our 1-minute demo below to see it in…
Understanding Redshift RA3 Node: A Comprehensive Guide May 31st, 2024 By Osheen Jain in Data Warehousing, Redshift Companies are continually seeking out efficient solutions that improve their data management and analytics. Migrating to a new architecture like RA3 node by Amazon Redshift helps companies share data between…
Snowflake Testing for Data Warehouses Simplified 101 May 17th, 2024 By Dimple M K in Data Warehousing, Snowflake A Data Warehouse has become the need of the hour today because most companies are shifting to data-driven solutions. Businesses use multiple online tools and services to reach out to…
Amazon Redshift UPDATE Statement: 3 Comprehensive Aspects June 7th, 2024 By Amit Kulkarni in Data Warehousing, Redshift Amazon Redshift provides a fast, reliable, and petabyte-scale Data Warehouse solution that effectively connects to Business Intelligence tools, assisting companies in gaining insights into their customers and business operations. To…
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…
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…
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 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…
SQL Server Azure Synapse: Swift Ways to Conduct Data Migration April 12th, 2024 By Saloni Agarwal in Data Integration, SQL Server Handling large volumes of business data is challenging. You can collect data from various sources using multiple techniques. This data can be thoroughly analyzed to gain valuable insights that optimize…