Amazon S3 to Databricks: Efficient Data Integration May 10th, 2024 By Suraj Kumar Joshi in AWS, Data Integration Amazon S3 is a prominent data storage platform with multiple storage and security features. Integrating data stored in Amazon S3 to a data warehouse like Databricks can enable better data-driven…
3 Critical Initial Load vs Full Load ETL Differences April 26th, 2024 By Amit Phaujdar in Data Integration, ETL Transporting data from multiple sources to a target system such as a Data warehouse has always been a challenge for businesses across the world. The loading stage of the ETL…
How to Connect PostgreSQL on Google Cloud SQL to Redshift: 2 Ways to Integrate Data September 25th, 2023 By Tejaswini Kasture in Data Integration, PostgreSQL, Redshift Integrating PostgreSQL on Google Cloud SQL to Redshift is an essential step in unlocking the power of data for modern businesses. By centralizing data in Redshift, a fully managed data…
Data Pipeline Automation for Streamlining the Process December 29th, 2023 By Suchitra Shenoy in Data Engineering, Data Pipeline Automation has not just made our lives simpler, whether it’s handling our daily routines or managing the intricate workflows within the organization. In the world of data, this technological wonder…
How to Migrate Data from Salesforce to BigQuery? May 17th, 2024 By Skand Agrawal in BigQuery, Data Integration Bringing your key sales, marketing, and customer data from Salesforce to BigQuery is the right step towards building a robust analytics infrastructure. By merging this information with more data points…
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 Max Date: Features & Use Cases June 26th, 2024 By Sarthak Bhardwaj in Data Warehousing, Snowflake Snowflake is a versatile cloud-based data warehouse many organizations use for data management and analytics. It supports various data types, including date, time, and timestamp. Using Snowflake date functions, you…
Amazon S3 vs Redshift: 8 Critical Differences May 3rd, 2024 By Nicholas Samuel in Data Warehousing, Redshift, Versus The popularity of the cloud as a data storage platform has increased. The reason is that individuals and companies have realized the benefits of storing their data in the cloud.…
What is a Data Stack: Everything You Need To Know February 2nd, 2024 By Jalaj Jain in Data Strategy The field of data management is rapidly evolving as the volume and complexities of data continue to grow. In recent years, tools and technologies have revolutionized how organizations deal with…
BigQuery to SQL Server: 3 Methods to Enhance Data Migration March 29th, 2024 By Saloni Agarwal in BigQuery, Data Integration, SQL Server Unlock the full potential of your BigQuery data by integrating it seamlessly with SQL Server. With Hevo’s automated pipeline, get data flowing effortlessly—watch our 1-minute demo below to see it…
Apache Iceberg vs Parquet – Comparing Table and File Formats July 15th, 2024 By Srujana Maddula in Data Strategy Apache Iceberg and Parquet are popular storage formats in the big data industry. However, they are also often confused terms. So today, we’ll compare these two storage formats, their features,…
Understanding BigQuery Transaction: An Easy Guide 101 May 24th, 2024 By Talha in BigQuery, Data Warehousing Google BigQuery is a completely managed data warehouse service offered based on subscription payments by Google. Completely managed warehouse services like BigQuery separates the storage and compute costs allowing customers…
Redshift Primary Key & Foreign Key Constraints: Made Easy with Examples May 24th, 2024 By Skand Agrawal in Data Warehousing, Redshift The world is rapidly becoming digitized. Soon every aspect of our lives will be connected to the web, which will provide a higher level of convenience for users such as…
NetSuite to SQL Server: A Comprehensive Data Migration Guide March 29th, 2024 By Suraj Kumar Joshi in Data Integration, SQL Server NetSuite is a cloud-based data management tool, while SQL Server is a high-powered relational database management system. If you are trying to optimize your data management procedures by integrating data…
Understanding BigQuery Functions: 6 Comprehensive Aspects June 14th, 2024 By Nitin Birajdar in BigQuery, Data Warehousing Google BigQuery is an essential tool that every enterprise can employ to store data, analyze the data and query the database. It evolved from the term Big Data with a…
Types of Data Integration: A Comprehensive Guide June 20th, 2024 By Skand Agrawal in Data Integration In today's dynamic business landscape, mastering the art of data integration is not just a choice but a necessity. The wealth of valuable information resides in various sources, from corporate…
What Is Data Integration Architecture: Key Components, Types & Best Practices May 31st, 2024 By Sanchit Agarwal in Data Integration Daily operations within modern sales, marketing, customer service, product, and finance arms of organizations generate huge volumes of data. This data is siloed away in multiple databases & applications, creating…
Cloud Data Analytics: Workings, Benefits, Best Practices, Tools December 29th, 2023 By Jalaj Jain in Data Strategy Globally, an increasing number of data-driven organizations are using cloud platforms to efficiently utilize their data assets. As per recent data, over 80% of organizations use cloud environments to perform…
Top 9 Supermetrics Alternatives & Competitors [Ranked by Popularity] April 26th, 2024 By Sharon Rithika in Platform, Product The Supermetrics platform is an API to bring marketing data from a variety of sources into a single location for reporting and analysis. However, if you want to perform more…
Batch Processing vs Stream Processing: Key Differences Explained May 3rd, 2024 By Harshitha Balasankula in Data Strategy, Versus Data Processing is the collection, manipulation, and processing of collected data for the intended use. It is a computer-assisted technique that involves retrieving, transforming, or classifying data. Computerized Batch Processing…