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Showing posts from September, 2022

5 Best Practices for BigQuery ETL

Introduction In today’s modern world where data is considered to be the most valuable company’s asset, there is a need to protect it from data breaches and damages. As we know with every problem comes a solution, so for this issue we have modern data warehouses with the best built-in functionalities to protect it from attacks and are used to manage the data effectively, one such warehouse is: Google BigQuery. Google BigQuery is a fully controlled enterprise data warehouse that aids in handling and examining data with built-in features like machine learning, data analysis, and business intelligence. Many firms use this data warehouse to implement data analytics use cases to help them make better informed decisions. It is a highly scalable and cost-effective data warehouse that supports many features directing businesses to progress in the right direction. Though BigQuery is fast and affordable, it can consume a lot of processing power if not used properly. To use GoogleBig query ...

Top 5 Free or Affordable Dashboard and SQL Reporting Tools in 2022

  Introduction We can see a growing pattern of analysing one’s business data. This trend starts right from the biggest of enterprises to small startups. However, very big businesses could afford any analytic or reporting tools. Whereas SMEs and Startups find it hard to identify the best tool for their requirements which also fits into their budget.   We have analyzed the 5 best free or affordable SQL reporting tools and open source dashboard reporting tools for Startups and SMEs   l Sprinkle Data l Metabase l Chartio l Redash l Mode Analytics   Sprinkle Data Sprinkle is an all in one no-code data analytics tool. Provides ability to integrate, blend and model data without writing code. Pricing: Free plan, with paid plans starting from $200-$500   Pros: Does not require data to be loaded into a BI tool. Works directly on the data warehouse. Capable of connecting to a vast set of data sources like MySQL, Kafka, Kinesis, PostgreSQL, Hubspot, MongoDB, etc. See the co...