Final answer:
The direction of the data analytics industry is not necessarily moving toward more tightly coupled Hadoop and relational DBMS-based data warehouse technologies.
Step-by-step explanation:
The correct answer is option False. Although Hadoop and relational DBMS-based data warehouse technologies are both widely used in the data analytics industry, they are not necessarily moving toward becoming more tightly coupled.
While Hadoop is known for its ability to handle big data and unstructured data, relational DBMS-based data warehouses excel at managing structured data and delivering fast query performance.
These two technologies are often used alongside each other rather than being tightly integrated. Hadoop can be used for data preprocessing, processing large volumes of data, and running complex algorithms, while a relational DBMS-based data warehouse can be used for storing and querying structured data.
Furthermore, the direction of the data analytics industry is constantly evolving, influenced by technological advancements and business needs. It's important to regularly stay updated on industry trends to understand the current and future direction of data analytics technologies.