How cure.fit leverages customer data to deliver fitness to millions of Indians February 11th, 2020 By Lakshmi Kothandaraman in There is undoubtedly enough and more content out there on the need for unified customer data and why businesses should be data-driven. But what would be an exciting read is…
SQS to S3: Move Data Using AWS Lambda and AWS Firehose February 6th, 2020 By Sourabh in Data Integration AWS Simple Queue Service is a completely managed message queue service offered by Amazon. Queue services are typically used to decouple systems and services in the microservice architecture. In that…
How to Integrate Google Analytics to PostgreSQL: Step-by-Step Explanation February 5th, 2020 By Talha in Data Integration, PostgreSQL Even though Google provides a comprehensive set of analysis tools to work with data, most organizations will need to pull the raw data into their on-premise database. This is because…
Loading Data to Redshift: 4 Best Methods October 19th, 2019 By Vivek Sinha in Data Integration, Redshift Amazon Redshift is a petabyte-scale Cloud-based Data Warehouse service. It is optimized for datasets ranging from a hundred gigabytes to a petabyte can effectively analyze all your data by allowing…
Redshift INSERT INTO Statement: 3 Critical Aspects September 30th, 2019 By Sourabh in Data Warehousing, Redshift Amazon Redshift is a completely managed data warehouse offered as a service. Redshift works based on a cluster architecture and it allows the users to select from multiple kinds of…
Amazon Redshift Vs Athena: Compare On 7 Key Factors September 25th, 2019 By Ankur Shrivastava in Data Warehousing, Redshift, Versus In the Data Warehousing and Business Analysis environment, growing businesses have a rising need to deal with huge volumes of data. In cases like this, key stakeholders often debate on…
Amazon Redshift Vs DynamoDB – The Complete Comparison September 6th, 2019 By Vivek Sinha in Data Warehousing, Redshift, Versus Completely managed databases offered as cloud services have transformed the application design landscape to the extent that even the smallest of organizations can now enjoy scalability and reliability without being…
Amazon Redshift vs Aurora: 9 Critical Differences August 12th, 2019 By Sourabh in Data Warehousing, Redshift, Versus AuroraDB is a relational database engine that comes as one of the options in the AWS Relational Database as a service. Amazon Redshift, on the other hand, is another completely…
Amazon Redshift Data Types – A Detailed Overview August 8th, 2019 By Antariksh Goyal in Data Warehousing, Redshift This blog aims to explain the details on Redshift data types in-depth. Before we get to that, let us understand some details on Redshift first. What is Amazon Redshift -…
Webhook to BigQuery: Real-time Data Streaming July 11th, 2019 By Lahu Bhawar in BigQuery, Data Integration Nowadays, streaming data is a crucial data source for any business that wants to perform real-time analytics. The first step to analyze data in real-time is to load the streaming…
Facebook Ads to Redshift Simplified: 2 Easy Methods June 20th, 2019 By Sourav Choudhury in Data Integration, Redshift Your organization must be spending many dollars to market and acquire customers through Facebook Ads. Given the importance and cost-share, this medium occupies, moving all important data to a robust…
Snowflake ETL Best Practices: 7 Critical Aspects February 28th, 2019 By Sarad in Data Integration, ETL, Snowflake Snowflake is a modern, easy-to-use analytics Data Warehouse designed for the cloud. Built on top of AWS, Snowflake’s unique architecture uses a SQL Database engine, making It fast and flexible.…
How to Connect DynamoDB to S3 ? 2 Easy Methods February 26th, 2019 By Ankur Shrivastava in AWS, Data Integration Moving data from Amazon DynamoDB to S3 is one of the efficient ways to derive deeper insights from your data. If you are trying to move data into a larger…
Snowflake Architecture & Concepts: A Comprehensive Guide January 18th, 2019 By Suresh H in Data Warehousing, Snowflake This article helps focuses on an in-depth understanding of Snowflake architecture, how it stores and manages data, and its micro-partitioning concepts. By the end of this blog, you will also…
How to Seamlessly Migrate Data from Aurora to Redshift? January 7th, 2019 By Ankur Shrivastava in AWS, Data Integration, Redshift Are you trying to derive deeper insights from your Aurora Database by moving the data into a larger Database like Amazon Redshift? Well, you have landed on the right article.…
How to Load Data from MS SQL Server to Redshift Within Minutes? November 13th, 2018 By Rushik Shah in Data Integration, ETL, MySQL, Redshift With growing volumes of data, is your SQL Server getting slow for analytical queries? Are you simply migrating data from MS SQL Server to Redshift? Whatever your use case, we…
Redshift Distribution Key – Choosing Best Distribution Style September 20th, 2018 By Vivek Sinha in Data Warehousing, Redshift Amazon Redshift is a fully managed, distributed relational database system. It is capable of performing queries efficiently over petabytes of data. High parallel processing, columnar design, and data compression encoding…
Hevo vs DMS AWS – 7 Comprehensive Parameters May 4th, 2018 By Rajashree in Platform, Product Migrating data from different sources into Data Warehouses can be hard. Hours of engineering time need to be spent in hand-coding complex scripts to bring data into the Data Warehouse.…
Meesho (A Y Combinator Backed Startup) April 23rd, 2018 By Rajashree in The Business Meesho is creating the next big e-commerce distribution channel via homepreneurs selling on WhatsApp, Facebook, and Instagram. Meesho boasts a strong network of 50,000+ homepreneurs spanning across 500…
Cure.fit Turns Data Fit With Hevo April 16th, 2018 By Rajashree in Uncategorized Cure. fit takes a holistic approach towards health and fitness by bringing together all aspects of a healthy lifestyle on a single platform. Cure.fit offers both digital and offline experiences…