5 Best Cloud Data Warehouses (Based on G2 Ratings) August 30th, 2024 By Suraj Poddar in BigQuery, Data Warehousing, Redshift, Snowflake In today’s cloud-rich landscape, businesses are turning to data warehouses to store, manage, and analyze their data. As of 2024, over 65k companies use cloud data warehouses to enhance their…
Quick Guide to the Snowflake Semantic Layer in 2024 August 30th, 2024 By Ahmed Shaaban in Data Warehousing, Snowflake Snowflake is a cloud data warehouse that has taken the world by storm, establishing itself as one of the core technologies in the cloud era. Snowflake is a cross-cloud platform;…
Everything You Need to Know About Snowpark Architecture August 12th, 2024 By Asimiyu Musa in Data Warehousing, Snowflake Data professionals such as data engineers, scientists, and developers often use various tools and programming languages to get their work done. For your organization, these preferences can lead to overly…
Snowflake Polaris Catalog – What is it? August 1st, 2024 By Neha Sharma in Data Warehousing, Snowflake As data continues to drive modern-day business decisions, the need for interoperable engines with open-source table formats becomes paramount. Addressing this need, Snowflake introduced the Polaris catalog for Apache Iceberg…
How to Build RAG Applications Using Snowflake Cortex? July 30th, 2024 By Srujana Maddula in Data Warehousing, Snowflake GPT has become a go-to search engine for many. We often use it instead of Google to get a quick solution for any query. Given its popularity, why don’t you…
Optimizing Data Warehouse Cost using Apache Iceberg July 30th, 2024 By Raju Mandal in Data Warehousing Data warehouses bring phenomenal results from well-informed, data-driven decision-making for an organization. There were times when only companies with large capital, and substantial IT infrastructures invested time and effort, let…
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…
What is Snowflake Horizon? Key Features, Benefits & Use-Cases July 15th, 2024 By Suraj Poddar in Data Warehousing, Snowflake Has it ever occurred to you that the volume of data your business processes daily is too overwhelming? You are not alone. So many companies need help in managing and…
How to Create Streamlit Apps on Snowflake? – A Step by Step Guide July 10th, 2024 By Srujana Maddula in Data Warehousing, Snowflake The choice of data management system determines how quickly and in real-time you can store and access information. Some cloud database architectures, like Snowflake, offer a scalable and flexible environment…
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…
Snowflake Arctic: Getting Started with Snowflake’s new LLM July 5th, 2024 By Rashmi Joshi in Data Warehousing, Snowflake Snowflake launched its new open-source, “state-of-the-art ” large language model, Snowflake Arctic, in April 2024. The data cloud company announced that the primary idea behind this innovation was to simplify…
Snowflake Master Data Management: Strategies & Use Cases June 26th, 2024 By Sarthak Bhardwaj in Data Warehousing, Snowflake Master data is the core data that impacts all your important business transactions and operations. It includes information on customers, products, employees, suppliers, location, and finances of your business organization.…
Snowflake Data Mart – How to Build One? June 26th, 2024 By Skand Agrawal in Data Warehousing, Snowflake Your organization may store large volumes of data in a single Snowflake data warehouse. However, extracting data specific to individual departments from the data warehouse can be time-consuming, delaying your…
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 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…
Maximize Your ROI: Efficiently Manage Snowflake Storage Cost! June 26th, 2024 By Suraj Poddar in Data Warehousing, Snowflake Storage costs are important for any business that deals with large amounts of data daily. These costs are influenced by factors like a storage device's speed, capacity, reliability, and security…
Snowflake Warehouse vs Database: Deep Understanding June 26th, 2024 By Sarthak Bhardwaj in Data Warehousing, Snowflake Many organizations often ponder if Snowflake, a modern data analytics platform, is a data warehouse or database. Data warehouse and database are two key components of Snowflake’s architecture. Both play…
Snowflake Data Ingestion: Best Practices June 26th, 2024 By Dimple M K in Data Warehousing, Snowflake Data ingestion is the process of gathering data from different sources and loading it into a centralized repository. It involves discovering, acquiring, and transforming data before loading it into a…
Snowflake Data Encryption: A Comprehensive Guide June 26th, 2024 By Sarthak Bhardwaj in Data Warehousing, Snowflake Data security remains a significant concern for organizations handling sensitive information. To avoid unauthorized access and data breaches of such data, effective security procedures are crucial. Encryption, a fundamental component…
An In-Depth Insight Into Snowflake Data Quality Practices June 26th, 2024 By Veeresh Biradar in Data Warehousing, Snowflake Data quality refers to your dataset’s dependability, precision, consistency, and completeness. High-quality data does not contain errors, discrepancies, or inefficiencies, making it appropriate for accurate analysis and decision-making. If your…