Utilize DATE_TRUNC Snowflake Function to Manipulate & Analyze Data May 31st, 2024 By Veeresh Biradar in Data Warehousing, Snowflake Date and time play crucial roles in time-series analysis, as they are the key components that decide the trends and patterns that the data follows. Truncating them to a specific…
Salesforce ETL: 2 Easy Methods April 12th, 2024 By Skand Agrawal in Data Integration, ETL Organizations are constantly on the lookout for simple solutions to integrate their company data from several sources into a centralized location, then analyze it to make informed decisions. This process…
The Ultimate Guide to Master Snowflake Data Lineage (Steps Explained) May 3rd, 2024 By Shuchi Chitrakar in Data Warehousing, Snowflake If your organization is data-driven, understanding where your data comes from and how it’s transformed is essential for transparency and better decision-making. This is where Snowflake Data Lineage comes in. …
AWS RDS Oracle to Databricks: Strategic Data Migration Methods May 3rd, 2024 By Saloni Agarwal in AWS, Data Integration Unlock the full potential of your AWS RDS Oracle data by integrating it seamlessly with Databricks. With Hevo’s automated pipeline, get data flowing effortlessly—watch our 1-minute demo below to see…
How To Integrate Snowflake PrivateLink? 3 Easy Steps May 24th, 2024 By Raj Verma in Data Integration, Snowflake With the advent of technology, most of the users are modernizing and moving into VPCs (Virtual Private Cloud). With every consumer moving its data into the Cloud, it is essential…
Understanding Redshift Table Lock: 3 Comprehensive Aspects May 17th, 2024 By Veeresh Biradar in Data Warehousing, Redshift Businesses today deal in huge quantities of data every day. Data plays a key part in their Decision Making, Marketing, Sales, and other major activities. Therefore, companies look for cloud-based…
Enhance Data Management with Snowflake Create Schema June 7th, 2024 By Nitin Birajdar in Data Warehousing, Snowflake A schema is a logical representation of how data is organized into tables. Before importing any dataset into a data warehouse platform like Snowflake, it is necessary to understand how…
Redshift Unload Command: 3 Comprehensive Aspects May 10th, 2024 By Sarthak Bhardwaj in Data Warehousing, Redshift Companies use Data Warehouses to store all their business data from multiple data sources in one place to run analysis and generate valuable insights from it. Amazon Redshift a widely…
ETL vs Data Pipeline : A Comprehensive Guide April 26th, 2024 By Abhinav Chola in Data Integration, ETL The term "ETL" describes a group of processes used to extract data from one system, transform it, and load it into a target system. A more general phrase is "data…
The Best AWS Glue Tutorial: 3 Major Aspects June 20th, 2024 By Vishal Agrawal in AWS, Data Strategy ETL (Extract, Transform, and Load) is an emerging topic in all IT Industries. Industries often look for an easy solution to do ETL on their data without spending much effort…
Snowflake Summit 2025: AI Takes Center Stage – Reasons to Mark Your Calendar April 30th, 2024 By Radhika Sarraf in Data Warehousing, Snowflake The Snowflake Summit 2024 is all set to bring together data, AI and tech to discuss the advancements and cutting-edge innovation in Data cloud. It is an unmissable opportunity to…
9 AI Trends That Will Revolutionize Data Science March 15th, 2024 By Shane Barker in Data Strategy Shane Barker is a digital marketing consultant who specializes in influencer marketing, content marketing, and SEO. He is also the co-founder and CEO of Content Solutions, a digital marketing agency.…
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…
How to Migrate Data from Salesforce Marketing Cloud to Snowflake? May 17th, 2024 By Shuchi Chitrakar in Data Integration, Snowflake Easily move your data from Salesforce Marketing Cloud 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…
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,…
AWS RDS MSSQL to BigQuery Integration: Maximizing Analytical Potential April 20th, 2024 By Suraj Kumar Joshi in AWS, BigQuery, Data Integration Easily move your data from AWS RDS MSSQL to BigQuery to enhance your analytics capabilities. With Hevo’s intuitive pipeline setup, data flows in real-time—check out our 1-minute demo below to…
Migrating AWS RDS MSSQL to Snowflake: 2 Effective Methods April 26th, 2024 By Sony Saji in AWS, Data Integration, Snowflake Easily move your data from AWS RDS MSSQL 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…
Snowflake Terraform Integration Made Easy July 8th, 2024 By Roopa Madhuri G in Data Warehousing, Snowflake Managing infrastructure manually across multiple cloud providers leads to consistency, deployment delays, and difficulty in scaling. You need a solution that automates infrastructure provisioning, ensures consistency, and supports rapid deployment…
DATEADD Snowflake: Enhance Your Data Management Capabilities May 31st, 2024 By Skand Agrawal in Data Warehousing, Snowflake You can analyze trends by identifying the direction in which your data values are moving. Date and time functions such as DATEADD, DATEDIFF, DATE_TRUNC, LAST_DAY, and more help you assess…
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,…