A Data Warehouse (DW) is a database that collects data and information from different sources. It is subject-oriented and stores large amounts of data. It also stores a series of snapshots of an organization’s operational data generated over a period of time. The DW represents the flow of data through time. Data is periodically uploaded then time-dependent data is recomputed.
Business Intelligence and Data Warehouse solutions and tools help to improve the availability of data and information. They significantly simplify the data analytics architecture. They also provide data security and business continuity. These tools and solutions impact the business bottom-line positively.
ETL and other tools available in the market
Most organizations have their data stored in a variety of locations, right from in-house databases to external sources like cloud storage services, BI tools, and so on, and they do not want to construct and maintain a separate data pipeline; hence, they use ETL tools. Extract, transform, and load (ETL) is a data warehousing process that extracts and blends raw data from various sources, then transforms the data and eventually loads into a DW. One of the major aims of ETL is to reduce data complexity.
Some of the popular ETL tools are as follows:
Oracle data integrator (ODI): ODI has great ETL capabilities that also leverage the advantages of the database. But still, it does not provide the full spectrum of ETL features. Oracle does have features that can support other ETL tools and solutions. ODI works in tandem with Oracle Warehouse Builder to handle the entire DW business workflow dynamics.
Skyvia: It is an all-in-one, easy-to-use cloud data
platform. It facilitates easy data integration, management, and visualization. Its data integration module allows
organizations to easily integrate without the need for coding to integrate data with other cloud applications and databases like Amazon Redshift, Salesforce, Zendesk, Shopify, and so on.
Voracity: It is an all-in-one, fastest, most affordable data management platform. Apart from ETL, it has other robust features like data governance and analytics.
Xplenty: It is an easy-to-use, point-and-click platform. It has powerful transformation tools to transform data into an analysis-friendly form. It has excellent customer support features. It has a user-friendly graphical user interface.
CloverDX: It is a fully customizable robust, lightweight, and flexible data platform. While other platforms offer low code or no code features, CloverDX goes one step further by allowing any aspect of the platform to be customizable, and this is possible using a simple built-in scripting language.
Amazon Redshift: It is a secure, scalable, and cost effective cloud-based DW solution that is a part of the Amazon Web Services cloud computing platform. It can handle large-scale data storage, data migration, and so on; it is all about Big Data. It uses massively parallel processing (MPP) architecture which loads data at a super-fast speed.
Hope this was helpful.
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