Recent Articles

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,…

What Are Data Lakes? Components, Challenges & Best Practices

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

Managing data efficiently often means bridging the gap between powerful databases and user-friendly tools. PostgreSQL, a robust open-source database, and Google Sheets, a versatile spreadsheet platform, are a perfect pair…

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…

Hevo vs Fivetran: The Right ELT Platform for Your Business 

July 8th, 2024 By Arun Chaudhary in Platform, Product

The right ELT tool can either make or break your organization’s data architecture. Fivetran and Hevo Data are two popular options, but which is the right fit? While both Hevo…

Snowflake Snowpipe Azure Integration: Real-Time Data Ingestion Made Easy

July 5th, 2024 By Arjun Narayan in Data Integration, Snowflake

Managing data ingestion from Azure Blob Storage to Snowflake can be cumbersome. Manual processes lead to inefficiencies and potential errors while also increasing operational overhead.  But what if you could…

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…