Popular Articles

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…

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…

What Is Data Integration in Data Mining: Approaches and Methods Explained

May 17th, 2024 By Sarthak Bhardwaj in Data Integration

In today's world, businesses focus on gathering more data to extract valuable insights from and optimize business processes. In short, this helps businesses collect data efficiently, extract insights, and understand…

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…

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…

Webhook to Snowflake: Converting Leads into Opportunities

May 17th, 2024 By Saloni Agarwal in Data Integration, Snowflake

Easily move your data from Webhook 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 see the…

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,…

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.…

AWS DMS Full Load: Everything You Need to Know

August 9th, 2024 By Kamlesh in AWS, Data Integration

In today’s world, businesses are drowning in data, and it is essential to migrate your data from one place to another. However, this process could be highly complex and time-consuming…

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…

AWS Glue Workflow Made Easy: How to Create & Build in 3 Steps

June 19th, 2024 By Yash Arora in AWS, Data Strategy

With the ability to integrate data faster and at scale, AWS provides organizations with product offerings that are serverless and fully managed — indeed, very helpful for organizations that aim…

Data Lake vs Delta Lake: Which is Better for Your Data Strategy?

July 31st, 2024 By Martina Šestak in Data Engineering

The fast-growing pace of big data volumes produced by modern data-driven systems often drives the development of big data tools and environments that aim to support data professionals in efficiently…

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,…

Emerging Trends in the Data Integration Market

March 29th, 2024 By Sarad Mohanan in Data Integration

Innovation is the keyword when it comes to data integration. Things are constantly evolving, and part of being in the industry is keeping up with the trends. Businesses that innovate…

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 2025 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…

Hive vs Redshift: 10 Key Differences

May 3rd, 2024 By Suraj Poddar in Data Warehousing, Redshift, Versus

The amount of data to be stored, monitored, and analyzed grows tremendously as a company grows. Queries on typical Database Warehouses will begin to take longer, making Data Management more challenging. With…

Data Wrangling vs ETL: 5 Pivotal Differences

April 26th, 2024 By Amulya Reddy in Data Integration, ETL

In today's data-driven era, you have more raw data than ever before. However, to leverage the power of big data, you need to convert raw data into valuable insights for…

8 Powerful Benefits of Change Data Capture

June 20th, 2024 By Manjiri Gaikwad in Change Data Capture CDC

As data grows at a massive scale, industries are adopting new ways to manage data effectively. One of the most popular techniques for managing data is CDC. The benefits of…

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…

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…