Impetus Technologies

  One of the most sought-after innovations in the IT industry in today’s time is Big-data and it has taken the entire world by a storm. A major contributor to this exceptional rise is the Hadoop data warehouse  and its related big data technologies. Hadoop has a number of advantages that provide the power of parallel processing to the programmers. The hype and expectations around Hadoop have been witnessing a steep rise and the excitement is coming out in the form of IoT.    What is Hadoop? Hadoop has an architecture that is very similar to traditional data warehouses. While the basic structure might seem similar, there are some very obvious differences between the two. Traditional data warehouses define a parallel architecture, whereas Hadoop’s architecture includes processors that are loosely coupled across a cluster of Hadoop platforms. Each of these clusters has the ability to work on different data sources. Data catalog, data manipulation engine, and...

  Snowflake is a cloud data warehousing platform that makes it easier for the data team to use and store data. Contrary to traditional storage solutions, there are various data types and business intelligence tools supported by Snowflake. This makes collaboration within the internal and external teams easier throughout the  ETL data migration  pipeline. Snowflake also supports most of the structured and unstructured data types. While many customers are excited at the prospect of migration, they lack the knowledge of how to start. Regardless of where you are starting from, here are a few considerations to make while moving to the Snowflake.   1. Say goodbye to partitions and indexes Contrary to other data warehouses, Snowflake doesn’t support indexes or partitions. Snowflake rather focuses on the automatic division of large tables into micro-partitions used to calculate statistics pertaining to value ranges carried by each column. These insights are then used to...