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…
Iceberg Architecture Examples: How Iceberg powers data and ML applications July 25th, 2024 By Radhika Gholap in Data Engineering In recent years, Apache Iceberg has seen considerable advancements that highlights its growing importance. Major tech companies like Google, Snowflake, and Databricks have increasingly embraced this table format. Google integrated…
How are Apache Iceberg Tables Optimizing Data Lake Management? July 25th, 2024 By Rahul Thakor in Data Engineering A data lake is a central storage place for an organization's data in its original format. Unlike data warehouses, data lakes can handle all kinds of data, including unstructured and…
Avro vs Parquet: Which File Format is Right for You? July 24th, 2024 By Dipal Prajapati in Data Engineering While working with huge amounts of data, Data serialization plays an important role in the performance of the system. Data Serialization converts complex data structures, such as graphs, trees, etc.,…
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…
Data Warehouse vs Data Lake vs Data Lakehouse – Key Comparisons July 23rd, 2024 By Gabriela Aleksandrova in Data Engineering With the vast amount of data being collected today for various purposes, there is an increasing need to find the proper data storage, which also heavily depends on your specific…
Apache Iceberg vs Delta Lake – Key Differences July 23rd, 2024 By Parvathy Ramakrishnan in Data Engineering Businesses are increasingly investing in data lakehouses due to their reduced costs, streamlined workloads, support for real-time data processing, and better decision-making. The global data lakehouse market is estimated to…
Using Emerging Technologies to Address Data Lake Challenges July 23rd, 2024 By Adedotun Adeboye in Data Engineering The term “Data Lake” was first introduced by James Dixon in 2010 as a form of storage to cope with evolving data needs due to advancements in IT and IoT.…
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…
Mastering Data Ingestion in Your Apache Iceberg Lakehouse July 17th, 2024 By Raju Mandal in Data Integration Every data-centric organization uses a data lake, warehouse, or both data architectures to meet its data needs. Data Lakes bring flexibility and accessibility, whereas warehouses bring structure and performance to…
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,…
A Deep Dive into Data Lakes July 15th, 2024 By Raju Mandal in Data Strategy In this information age, there has been explosive growth in the rate and type of data generated daily. From mobile devices and IoT sensors to our online content, unprecedented amounts…
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…
Top 10 Leading Data Lake Tools in 2025: Choose the Right One July 12th, 2024 By Talha in Data Engineering Are you looking for a data lake tool that is scalable, cost-efficient, and accessible, can store your business’s historical data, and can help you perform intelligent analytics? No worries. To…
Building Data Lake in Apache Iceberg with MySQL CDC July 12th, 2024 By Dipal Prajapati in Change Data Capture CDC Building a data lake for reporting, analytics, and machine learning needs has become general practice. Data lakes allow us to ingest data from multiple sources in their raw formats in…
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…
Snowpipe Alternatives You Should Consider for Your Data Needs July 10th, 2024 By Arjun Narayan in Data Integration, Snowflake While you can use Snowpipe for straightforward and low-complexity data ingestion into Snowflake, Snowpipe alternatives, like Kafka, Spark, and COPY, provide enhanced capabilities for real-time data processing, scalability, flexibility in…
How to Connect Postgres to Google Sheets: 3 Easy Methods July 9th, 2024 By Skand Agrawal in Data Integration, PostgreSQL Pull raw data, build auto-updated reports dashboards, and find the real-time information you need. Follow this step-by-step explanation to learn how to automatically retrieve data from your Postgres and import…
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…