How do existing applications usually connect to InfoSphere BigInsights using the Big SQL feature?
A. Applications will connect using custom made connectors programmed in SPL.
B. Applications will connect using standard JDBC and ODBC drivers that come with InfoSphere BigInsights.
C. Applications will connect using the JAQL programming language.
D. Applications will connect using either HiveQL or Pig programming languages.
Which of the following options best describes the differences between a traditional data warehouse environment and a Hadoop environment?
A. Traditional data warehousing environments are mostly ideal for analyzing structured data from various systems, while a Hadoop environment is well suited to deal with structured, semi- structured, and unstructured data, as well as when a data discovery process is needed.
B. Hadoop environments are mostly ideal for analyzing structured and semi-structured data from a single system, while traditional data warehousing environment is well suited to deal with unstructured data, as well as when a data discovery process is needed.
C. Typically, data stored in Hadoop environments is cleaned up before storing in the distributed file-system.
D. Typically, data stored in data warehousing environments is rarely filtered and pre-processed. On the other hand, data injected into Hadoop environments is always pre-processed and filtered.
What is Big SQL?
A. Big SQL is a feature in Data Explorer that allows for indexing of data from SQL sources such as data warehouses.
B. Big SQL is a feature in BigInsights that allows for native SQL query access for Hadoop, providing full ANSI SQL 92 compliance and standardSQL syntax such as joins, for data contained in a variety of formats such as structured Hive tables, Hbase tables, or csv and other delimitedfiles in HDFS.
C. Big SQL is a feature in Streams that allows for real time analysis of data via standard SQL syntax.
D. Big SQL is a feature in BigInsights that provides a SQL like interface to data contained in Hbase tables only. Other data sources in HDFS mustbe accessed via other means such as HiveQL.
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