What are the five V?s of Big Data? |
What is Dala Cleansing? |
What are the sources of Unstructured data in Big Data? |
What are the different approaches to deal with Big Data? |
What are the different platforms to deal with Big Data? |
What kind of projects are better suitable for Big Data? |
What are the factors or issues to be considered while building Big Data Models? |
What are the tools used to extract Big Data? |
What are the tools/languages to query Big Data? |
What is features selection? |
What is overfitting? |
What are outliers? |
What do you mean by model optimization? |
What is Data Enrichment? |
What is Lamda Architecture? |
What is Graph Analytics concerning Big Data? |
What is Dimensionality Reduction? |
What are the different techniques for Dimensionality Reduction? |
Name some tools or systems used in big data processing? |
Explain the steps to be followed to deploy a Big Data solution. |
Explain the ETL process concerning Big Data. |
Explain data preparation in Big Data. |
Why is Hadoop more suitable for Big Data? |
Which are the best tools that can be used by a Data-Analyst? |
Which language is preferred for Big Data - R, Python or any other language? |
How is Hadoop related to Big Data? |
How is big data analysis helpful in increasing business revenue? |
How is Big data different? |
How can big data support organizations? |
How can you process Big Data? |
How are Big Data and Data Science related? |
How are missing values handled in Big Data? |
How should you deal with outliers? |
Describe Big Data deployment. |
Is a cloud-based solution a good option for Big Data? |
Is Hadoop different from other parallel computing systems? How? |
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