Alooma vs Fivetran vs Hevo: A Comprehensive Review October 22nd, 2020 By Nikhil Annadanam in Companies today have structured and unstructured data in multiple SaaS applications, databases, etc. Moving their data into a data warehouse/ data lake for analytics can be a challenge. Many companies…
What is BigQuery Data Transfer Service? An Easy Guide October 21st, 2020 By Nicholas Samuel in Today, companies generate and store huge volumes of data. Storing and querying such volumes of data can be costly and time-consuming, especially for a company that doesn’t have the right…
Querying Data in Redshift: 2 Easy Methods October 21st, 2020 By Nicholas Samuel in With most companies adopting cloud as their primary choice of storing data, the need for having a powerful and robust cloud data warehouse is on the rise. One of the…
14 Must-Have Cloud ETL Tools In 2024 October 19th, 2020 By Divij Chawla in Data Integration, ETL With data growing at the speed of light, modern companies now require robust ETL tools. Managing such complex data needs with traditional ETL tools requires companies to make large investments…
Top 12 Data Transformation Tools in 2024 October 19th, 2020 By Oshi Varma in Data Strategy Data Transformation tools refer to the tools that can automate your transformation process within minutes. As data transformation is one of the most crucial steps of your data integration, data…
Amazon Redshift Bulk Load: 2 Easy Methods October 16th, 2020 By Talha in Introduction Are you looking to perform Amazon Redshift bulk load? If yes, you are in the right place! Redshift is Amazon's fully managed, NoOps, low-cost analytics data warehouse in the…
Preparing Data for BigQuery: A Comprehensive Guide October 16th, 2020 By Pratik Dwivedi in With most companies adopting cloud as their primary choice of storing data, the need for having a powerful and robust cloud data warehouse is on the rise. One of the…
2 Easy Methods to Create an Apache Spark ETL October 16th, 2020 By Nikhil Annadanam in Data Integration, ETL The importance of Apache Spark in the Big Data industry stems from its in-memory data processing, which makes it a faster data processing engine than the other options currently available.…
Amazon Redshift JDBC Driver Connection: 4 Easy Steps October 15th, 2020 By Nicholas Samuel in Data Warehousing, Redshift Are you looking to create an Amazon Redshift JDBC (Java Database Connectivity) Driver connection? We have you covered. Amazon Redshift is a fully managed, scalable, and fast Data Warehouse used…
Amazon Redshift Create Table Command: A Comprehensive Guide 101 October 15th, 2020 By Nicholas Samuel in The Amazon Redshift Create Table command allows you to create new tables for your Amazon Redshift instance. With most companies adopting cloud as their primary choice of storing data, the…
Google BigQuery Create Table Command: 4 Easy Methods October 15th, 2020 By Talha in BigQuery, Data Warehousing Since data acts as the new oil of businesses, it becomes crucial to collect, maintain, and analyze the data. Nowadays, data is growing exponentially, and it's becoming a challenge to…
BigQuery Tutorial for Beginners: A Comprehensive Guide 101 October 14th, 2020 By Lahu Bhawar in BigQuery, Data Warehousing This article is basically focused on providing a comprehensive BigQuery Tutorial. You will also gain a holistic understanding of Batch Processing, its key features, Spring framework, Spring Batch, and a…
Redshift Incremental Load: 2 Easy Methods October 14th, 2020 By Aman Sharma in Data loading is a surmountable task for organizations all over the world. While several platforms make this task easier, several data loading issues surface regularly. Amazon's Redshift is a popular…
10 Best BigQuery ETL Tools October 13th, 2020 By Vishal Agrawal in Data Integration, ETL Google Cloud Platform has a robust architecture with a petabyte-scale data warehouse known as BigQuery to perform analytics on the data. Many organizations are moving their on-premise systems to BigQuery…
Redshift Unload Command: 3 Comprehensive Aspects October 13th, 2020 By Muhammad Faraz in Companies use Data Warehouses to store all their business data from multiple data sources in one place to run analysis and generate valuable insights from it. Amazon Redshift a widely…
How to Set Up Amazon Redshift ODBC Driver Connection October 12th, 2020 By Muhammad Faraz in Are you trying to set up an Amazon Redshift ODBC Driver connection? Have you looked all over the internet to achieve it? If yes, then this blog will answer all…
Setting up Kafka ETL: 3 Easy Methods October 12th, 2020 By Divij Chawla in Data Integration, ETL, Kafka With Traditional ETL no longer being able to meet the demands of the future, businesses across the world have moved on to the paradigm of real-time streaming ETL, which works…
A Comprehensive Amazon Redshift Tutorial 101 October 12th, 2020 By Nicholas Samuel in Redshift is Amazon's Data Warehouse solution. It provides its users with a Cloud data storage option. Redshift is very scalable, hence, you can use it to store huge volumes of data running…
9 ETL Best Practices and Process Design Principles October 12th, 2020 By Shruti Garg in Best Practice, Data Strategy ETL (Extract, Transform, and Load) is essentially the most important process that any data goes through as it passes along the Data Stack. It stands for Extract, Transform, and Load.…
What is Data Transformation? : A Comprehensive Guide 101 October 9th, 2020 By Oshi Varma in Data Strategy In the world of big data where data is streaming in massive volume from multiple sources, Data Compatibility becomes a challenge for you. This is where Data Transformation comes into…