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…
What are the 7 Critical Differences between Amazon Redshift vs Elasticsearch May 3rd, 2024 By Rohit Guntuku in Data Warehousing, Redshift, Versus Amazon Redshift is a Data Warehousing service. Redshift is based on the Amazon Web Services (AWS) architecture and provides great performance to its consumers. It's a columnar database, thus it's…
Amazon Redshift Create Table Command: A Comprehensive Guide 101 May 24th, 2024 By Skand Agrawal in Data Warehousing, Redshift With the increasing adoption of cloud storage, the demand for powerful cloud data warehouses is growing. Amazon Redshift is a popular choice, offering the ability to store terabytes of data…
Understanding BigQuery Functions: 6 Comprehensive Aspects June 14th, 2024 By Nitin Birajdar in BigQuery, Data Warehousing Google BigQuery is an essential tool that every enterprise can employ to store data, analyze the data and query the database. It evolved from the term Big Data with a…
Snowflake On Premise Comparisons: 10 Key Critical Differences May 3rd, 2024 By Dimple M K in Data Warehousing, Snowflake, Versus This blog is intended for IT decision-makers or data architects who are torn between using Snowflake or an on-premises data warehouse for their BI needs. Data consumption and analytics are…
2 Easy Methods to Integrate Azure Postgres to BigQuery May 3rd, 2024 By Shuchi Chitrakar in BigQuery, Data Integration, PostgreSQL PostgreSQL, also known as Postgres, is an advanced object-relational database management system (ORDBMS) used for data storage, retrieval, and management. It is available on the Azure platform in a PaaS…
Redshift SELECT INTO 101: Syntax, Usage, and Examples Simplified May 17th, 2024 By Sarthak Bhardwaj in Data Warehousing, Redshift A relational database that supports procedural language allows you to assign a value to a local variable within stored procedures by using the SELECT statement. Teradata and Oracle databases, for…
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…
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,…
HubSpot to Snowflake Integration: 2 Easy Methods May 17th, 2024 By Nathaniel Oliver in Data Integration, Snowflake HubSpot is a cloud-based customer relationship management (CRM) platform that aids organizations in managing their marketing, sales, customer care, content management system (CMS), and operations. The cutthroat digital environment in…
Amazon Redshift ETL – Top 3 ETL Approaches for 2025 April 5th, 2024 By Suraj Poddar in Data Warehousing, Redshift Amazon Redshift is a completely managed Data Warehouse, offered as a cloud service by Amazon. It can scale up to petabytes of data and offers great performance even for complex…
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…
What is AWS Glue?: 4 Comprehensive Aspects April 5th, 2024 By Anmol Baunthiyal in AWS, Data Strategy With the vast sea of information that is growing every day, most organizations are looking toward Cloud-based solutions to collect, store and work on their data. Furthermore, the ETL process…
ETL Batch Processing Made Easy: A Comprehensive 101 Guide April 26th, 2024 By Preetipadma Khandavilli in Data Integration, ETL Today, companies have access to a broad spectrum of big data gathered from various sources. These sources include web crawlers, sensors, server logs, marketing tools, spreadsheets, and APIs. To gain…
How to Set Up BigQuery JDBC Connection – 4 Easy Steps May 17th, 2024 By Dimple M K in BigQuery, Data Warehousing Organizations use Google BigQuery Data Warehouse for analytics and querying large, complex datasets. BigQuery is based on Dremel architecture that divides the query execution into slots. When multiple users are…
Webhook to Snowflake: Converting Leads into Opportunities May 17th, 2024 By Saloni Agarwal in Data Integration, Snowflake Automation of data management captures and transfers large datasets across platforms quickly. Webhooks are more streamlined for workflow automation because they connect applications in near real-time, transferring data whenever specific…
Best Data Ingestion Tools in Azure in 2024 April 26th, 2024 By Abhinav Chola in Data Ingestion, Data Strategy Managing vast data volumes is a necessity for organizations in the current data-driven economy. To accommodate lengthy processes on such data, companies turn toward Data Pipelines which tend to automate…
Data Integration vs Data Migration: 5 Critical Differences April 26th, 2024 By Manisha Jena in Data Integration Understanding the differences data integration vs data migration is crucial for choosing the right approach for your specific needs. This will also help ensure that you are using the most…
Leverage Third-Party Data with AWS Marketplace Data Exchange April 26th, 2024 By Riya Bothra in AWS, Data Strategy Data is the most fundamental factor that provides businesses a competitive edge in the market. It is a strategic asset that you can leverage to gain insights, identify upcoming profitable…
Amazon Kinesis vs Kafka: 5 Critical Differences May 10th, 2024 By Satyam Agrawal in Data Warehousing, Kafka, Versus Data is all around us. There is a firehose of information coming from social networks, financial trading floors, and geospatial services. Collecting, storing, and analyzing this type of high throughput…