Apache Druid vs BigQuery: 18 Key Differences May 10th, 2024 By Dimple M K in BigQuery, Data Warehousing, Versus Enterprises need a Data Warehouse to examine data over time and deliver actionable business intelligence. The need to efficiently pull together data from a broad array of ever-evolving data sources…
Understanding Snowflake UI: An Easy Guide June 7th, 2024 By Arsalan Mohammed in Data Warehousing, Snowflake This article talks about Snowflake UI and provides information about its Database, Warehouse, Worksheet, and History pages. In addition to that, It also talks about other UI help and user…
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…
Top 7 Metadata Management Tools August 16th, 2024 By Sherly Angel in Data Strategy Managing metadata has become crucial to any organization's data strategy in today's data-driven world. Nowadays, businesses face the challenge of effectively managing their growing and complex data volumes. This is…
Amazon Redshift vs MySQL: A Detailed Comparison of Database Solutions May 3rd, 2024 By Amit Phaujdar in Data Warehousing, Redshift, Versus Amazon Redshift is a petabyte-scale Cloud-based Data Warehouse service. It is optimized for datasets ranging from a hundred gigabytes to a petabyte can effectively analyze all your data by allowing…
A Step-by-Step Guide To Snowflake Data Visualization June 14th, 2024 By Satyam Agrawal in Data Warehousing, Snowflake How do you visualize your Snowflake data? Snowsight, the visual interface of Snowflake, allows two different easy ways to visualize your data within Snowflake- by using charts or dashboards. If…
What is Observability for Data Engineering: Explained with Examples March 22nd, 2024 By Kyle Kirwan in Data Strategy Kyle Kirwan is the CEO and co-founder of Bigeye, the premier data observability platform. Bigeye gives observability for Data Engineering and science teams the tools they need to ensure their…
ActiveCampaign Salesforce Integration: Optimize Your Marketing Solution April 20th, 2024 By Riya Bothra in Data Integration Data plays an integral role in driving your organization towards success. However, managing large datasets on different platforms can be challenging and time-consuming. To perform seamless data-driven analysis, you need…
SQL Server to SQL Server Migration: 5 Efficient Methods May 17th, 2024 By Skand Agrawal in Data Integration, SQL Server Unlock the full potential of your SQL Server data by migrating it to another newer version. With Hevo’s automated pipeline, get data flowing effortlessly—watch our 1-minute demo below to see…
Setting up Redshift Data Lake Export: Made Easy 101 June 20th, 2024 By Manisha Jena in Data Warehousing, Redshift AWS (Amazon Web Services) is one of the leading providers of Cloud Services. It provides Cloud services like Amazon Redshift, Amazon S3, and many others for Data Storage. Extract, Transform,…
Oracle Streams CDC: Detailed Guide June 20th, 2024 By Vivek Sinha in Change Data Capture CDC The purpose of this post is to introduce you to Oracle Streams concepts. You will learn about the various components that make up the Oracle Streams technology. Towards the end,…
Enterprise Asset Management Database: The Complete Guide April 26th, 2024 By Shuchi Chitrakar in Database Management System Effective asset management is essential for the success of your business, whether you own a tiny local store or a multinational corporation. Assets refer to any resource used in business…
PostgreSQL Analytics: A Comprehensive Guide 101 June 7th, 2024 By Vivek Sinha in Database Management System, PostgreSQL Do you want to use PostgreSQL Analytics? Have you looked all over the internet to find a solution for it? If yes, then this blog will answer all your queries.…
A Comprehensive Guide to Snowflake Migration: Best Practices and Strategies June 14th, 2024 By Skand Agrawal in Data Warehousing, Snowflake Snowflake is a cloud data warehousing solution that has become popular for companies with large data volumes. However, moving databases from an existing data platform to Snowflake can be complicated.…
Manage Date/Time Values Using EXTRACT From Oracle Function June 26th, 2024 By Dimple M K in Data Engineering Effective data management requires accurate data capture, storage, processing, and analysis. Date and time values are critical in organizing and filtering data, providing a foundation for efficient data processing. Oracle’s…
A Deep Dive into Data Lakehouses July 18th, 2024 By Ahmed Shaaban in Data Engineering The term “Data Lakehouse” is quite common nowadays. The new concept promises to address the failures of data warehouses and data lakes and help support the workloads of both business…
Hevo vs Informatica IICS: Key Differences in Data Integration May 3rd, 2024 By Nicholas Samuel in Platform, Product Data integration is an essential task in most organizations. Many organizations generate huge volumes of data, which is not always stored in a single location but in different locations, including…
Snowflake Data Lakehouse: What is it & How to Build One? June 26th, 2024 By Sarad Mohanan in Data Warehousing, Snowflake You can use data warehouses or data lakes as a repository for data management and analytics tasks. Both of these solutions have their advantages and disadvantages. A data warehouse is…
Snowflake Universal Search: A Game-Changer for Data Discovery July 24th, 2024 By Asimiyu Musa in Data Warehousing, Snowflake Searching for data manually in Snowflake can be very challenging, time-consuming and sometimes frustrating. Snowflake identifies these problems and has developed Universal Search to change the way we search for…
Legacy SQL vs Standard SQL: Simplifying BigQuery Dialects May 10th, 2024 By Sarthak Bhardwaj in BigQuery, Data Warehousing, Versus In this age of data transformation where organizations are constantly seeking out ways to improve the day to day handling of data being produced and looking for methods to minimize…