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…
The Ultimate Guide to Google BigQuery Architecture and Key Capabilities January 7th, 2022 By Puneet Jindal in BigQuery, Data Warehousing Google BigQuery is a fully managed data warehouse tool. It allows scalable analysis over a petabyte of data, querying using ANSI SQL, integration with various applications, etc. To access all…
How to Sync Data from MongoDB to PostgreSQL: 2 Easy Methods February 20th, 2023 By Suraj in Data Integration, MongoDB, PostgreSQL MongoDB is the preferred choice for most use cases involving structured and semi-structured data. MongoDB has a comprehensive querying layer, combined with the ability to add keys dynamically. This makes…
Connecting DynamoDB to S3 Using AWS Glue: 2 Easy Steps December 18th, 2023 By Ankur Shrivastava in AWS, Data Integration Are you trying to derive deeper insights from your Amazon DynamoDB by moving the data into a larger Database like Amazon S3? Well, you have landed on the right article.…
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…
Superset vs Metabase vs Redash – Comparing Open Source BI Tools September 12th, 2017 By Shalaka Kulkarni in Data Strategy, Versus A human brain retains more information through patterns and visuals as compared to reading or studying numbered files. In the business world, visualization is imperative in understanding the significance of data.…
Google Analytics to BigQuery ETL: 3 Easy Methods September 3rd, 2023 By Vernon DaCosta in BigQuery, Data Integration, ETL Unlocking the true potential of your website's data requires more than just collecting metrics – it demands robust analysis and data-driven decision-making. Google Analytics provides a wealth of information about…
The Need for Data Warehouse in 2024 October 6th, 2021 By Rajashree in Data Warehousing What is a Data Warehouse? Data Warehouse is the Central Data Store within your company. There is a need for Data Warehouse for all the enterprises that want to make…
How to Migrate Data from Oracle to Snowflake Within Minutes? April 30th, 2023 By Faisal K K in Data Integration, ETL, Snowflake Migrating from Oracle to Snowflake can be a game-changer for businesses looking to modernize their data infrastructure. While Oracle has long been a reliable choice for on-premise databases, Snowflake offers…
What is Kafka Exactly Once Semantics? How to Handle It? February 26th, 2017 By Vivek Sinha in Data Warehousing, Kafka Apache Kafka Exactly Once semantics is something which was much talked about but never achieved. Recently, Neha Narkhede, CTO of Confluent wrote an article that introduced the holy grail of…
How to Sync Data from PostgreSQL to Google Bigquery in 2 Easy Methods April 11th, 2023 By Faisal K K in BigQuery, Data Integration, PostgreSQL Are you trying to derive deeper insights from PostgreSQL by moving the data into a Data Warehouse like Google BigQuery? Well, you have landed on the right article. Now, it…
How to Load Data from SQL Server to BigQuery in Minutes March 4th, 2023 By Bukunmi I in BigQuery, Data Integration, SQL Server Are you looking to perform a detailed analysis of your data without having to disturb the production setup on SQL Server? In that case, moving data from SQL Server to…
How to Replicate data from MySQL to BigQuery? (with Code) April 25th, 2023 By Faisal K K in BigQuery, Data Integration, MySQL With the BigQuery MySQL Connector, users can perform data analysis on MySQL data stored in BigQuery without the need for complex data migration processes. With MySQL BigQuery integration, organizations can…
Snowflake Data Warehouse 101: A Comprehensive Guide September 15th, 2021 By Satyam Agrawal in Data Warehousing, Snowflake Snowflake Data Warehouse delivers essential infrastructure for handling a Data Lake, and Data Warehouse needs. It can store semi-structured and structured data in one place due to its multi-clusters architecture…
How To Replicate Amazon Rds To Redshift Using 3 Methods December 16th, 2021 By Sarad in Data Integration, ETL, Redshift Are you trying to derive deeper insights from your Amazon RDS by moving the data into a Data Warehouse like Amazon Redshift? Well, you have landed on the right article.…
Postgres CDC: How to Set Up Real-time Sync February 28th, 2020 By Vivek Sinha in Change Data Capture CDC Introduction to Postgres CDC PostgreSQL is one of the most widely used open-source relational databases. Its comprehensive querying layer and technical standards-compliance make it a favorite for a variety of…
Connecting Elasticsearch to S3: 4 Easy Steps April 3rd, 2023 By Sarad in Data Integration Are you trying to derive deeper insights from your Elasticsearch by moving the data into a larger Database like Amazon S3? Well, you have landed on the right article. This…
API to BigQuery: 2 Preferred Methods to Load Data in Real time April 19th, 2023 By Lahu Bhawar in BigQuery, Data Integration Many businesses use cloud-based applications like Salesforce, HubSpot, Mailchimp, and Zendesk for daily operations. We need to combine data from these sources to measure key metrics and drive growth. These…
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…
Moving Data from MongoDB to MySQL: 2 Easy Methods March 21st, 2023 By Sourabh in Data Integration, MongoDB, MySQL MongoDB is a NoSQL database that stores objects in a JSON-like structure. Because it treats objects as documents, it is usually classified as document-oriented storage. Schemaless databases like MongoDB offer…