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6 Data And Analytics Trends To Prepare For In 2020

Smart Data Collective

Data processing is another skill vital to staying relevant in the analytics field. For frameworks and languages, there’s SAS, Python, R, Apache Hadoop and many others. Cloud Computing and Related Mechanics. The popular tools, on the other hand, include Power BI, ETL, IBM Db2, and Teradata.

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Characteristics of Big Data: Types & 5 V’s of Big Data

Pickl AI

Cloud computing has emerged as a popular solution for providing scalable storage and processing capabilities. This section will highlight key tools such as Apache Hadoop, Spark, and various NoSQL databases that facilitate efficient Big Data management. This insight allows them to tailor marketing campaigns effectively.