ViralBlog 2020

Global data lakes market was valued at US$ 3.24 billion in 2019, and is expected to reach a value of US$ +14.01 billion by 2027 at a CAGR of +27.4%, over the forecast period of 2019-2027. Data Lakes have become an economical option for many companies rather than an option for data warehousing. Data warehousing involves additional computing of data before entering the warehouse, unlike Data Lakes. The cost of maintaining a data Lake is lower than maintaining a data Lake owing to the number of operations involved in building the database for warehouses. The Data Lakes market research report provides an in-depth analysis of the business space in question, alongside a brief gist of the industry segmentation. A highly viable evaluation of the current industry scenario has been presented in the study, and the Data Lakes market size with regards to the remuneration and volume has also been mentioned. The research report, in its entirety, is a basic collection of significant da...

Database Automation Market is expected to grow from USD 493.4 Million in 2019 to USD 1,714.0 Million by 2026, at a Compound Annual Growth Rate (CAGR) of 40.3% during the forecast period. Continuous growth in the volume of data across verticals, increase in the need for database automation solutions, rise in the demand for automating repetitive database management processes, and surge in the demand for automating business processes to reduce cost and time are the major driving factors for the market. Data automation uses technology and devices to undergo various processes with minimum human interference. Automating databases reduces errors and costs and provides timely services to customers. Database Automation market report is analysis by business specialist & investigation which based on past info and future opportunities within the worldwide market. Database Automation research reports present the study with the revenue, production, consumption, sales, suppliers, p...

The global data warehouse market is grow at a CAGR of +9% by the Forecast period from 2019-2026. Data warehouse is a relational database formed to analyze and perform query processing. Data warehouse market is generally used by enterprises as the data stored by these warehouses is of large size. Warehouse stores data retrieved from historical transactions; however, it also contains data from various other sources. Data warehousing contains additional tools compared to a relational database. Extraction, transformation and loading (ETL) tools are available for processing in data warehousing. In addition to the ETL tools, Online Analytical Processing (OLAP) engine, analytical tools for clients are also present to manage the data gathering and delivering processes. Increase in need for dedicated storage system for growing volume of data and need for low-latency, real-time view and analytics for big data are the major factors that drive the growth of the global data wareho...