Introduction

With ever increasing amount of data, type of data and datasources (log, social media, API, IOT, RDBMS, NoSQL etc), more and more organizations are looking to implement data lakes rather than Data Warehouse. Helical IT has got very well qualified resources as well as plenty of experience (including various domains and geographies) in implementing end to end data lake solutions. Being a new technology, we can also help you understanding the cost and benefit analysis early on but also help in understanding it.

Data Lake Definition:

Data Lake allows you to store data not just from your historical transactional data sources, but also multiple other sources and it can be of different variety of data as-is. Data lake architecture helps you to keep the data as coming from the source, without first fitting to your needs which is unlike data warehouse architecture. That is the differentiating factor which makes not only changes to data but also to the analytics that runs around them. Data lake can hold information for you from log files, DBs, every click that customer generates, social media pages, or any diverse source that you need to incorporate. Therefore, architecture becomes crucial to ensure data integrity, our data lake experts shall provide you with the data lake solution that fits your current and future needs. Our data lake consultant shall ensure to give you the entire picture of end-to-end solution for your needs. If there are additional services that are required like cloud data lake and data warehouse services, or specific data lake analytics needs to be built out for making the best use of the information to you, our enterprise data lake services.