Data Architecture and Design
In IT industry, Data architecture consists of models, policies standards or rules that control which data is aggregated, and how it is arranged, stored, integrated and brought to use in data systems. It has three phases Conceptual representation of business entities The logical representation of the relationships between business entities The physical construction of the system for functional supportWhizlabs
Explore Data & Analytics Statistics
- 30 percent of businesses consider the Spark software framework critical to their big data analytics strategies.
- 53 percent of CEOs consider themselves the primary leader of their company’s analytics agenda.
- 14 percent of investment professionals use credit card and POS software data to derive data.
- The number of IT professionals using descriptive and predictive analytics grew from the mid-40th percentile to high 60th percentile between January 2018 and January 2019.
- By 2025, the amount of the global datasphere subject to data analysis will grow by a factor of 50 to 5.2 zettabytes.
- Nearly 50 percent of businesses say big data and analytics have fundamentally changed business practices in their sales and marketing departments.
- By 2025, 60% of the 163 zettabytes of existing data will be created and managed by enterprise organizations.
- 50 percent of businesses say data and analytics significantly impacted new entrants launching data and analytics businesses that undermine traditional competitors’ value propositions.
- 95 percent of businesses need to manage unstructured data.
- More than 150 zettabytes (150 trillion gigabytes) of data will need analysis by 2025.
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