Sprinkle Data

Introduction Throughout the years, DevOps has proved to be a successful practice in optimizing the product delivery cycle. As years passed by and as enterprises throughout the world focused on building a data-driven culture, it was necessary to build it in a proper manner to reap the most benefits from one’s business data. Instead of optimizing with mere assumptions and predictions, these business data provided users with factual insights for best decision making.  Before we dive deep on how different DataOps is from DevOps, let me clue you in with a crisp explanation. DevOps is the transformation in the delivery capability of development and software teams whereas DataOps focuses much on the transforming intelligence systems and analytic models by data analysts and data engineers.  DevOps is a synergy of development, IT operations, and engineering teams with the main idea to reduce cost and time spent on the development and release cycle. However, DataOps works one le...

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 ...

  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...

  Introduction ETL happens to be the most important process of data warehousing and obtaining actionable insights. Most tools in the market are unique in their own way where one size fits all approach doesn’t work here. Identifying which tool suits your business’s data requirements is the key.   Every tool handles data in different ways and offers various types of functionality in terms of connectors, transformations, pipelines, deployment, visualization, etc. In such a case, we have picked the five best ETL/ELT tools in the market. Study, compare and decide for yourself.   Sprinkledata Sprinkle is an ELT tool, end to end data integration and analytics platform enabling users to automate the complete journey of collating data from various data sources to ingesting them into a preferred data warehouse to building reports. And all these processes happen in real-time.   Pros:   Zero-code Ingestion: Automatic schema discovery and mapping of data types to the warehou...