Latest web tech Flashcards
XML compliant HTML is
XHTML
a sophisticated framework for developing transaction-oriented database applications
1) JDBC
2) EJB
3) Java Beans
4) J2EE
J2EE
{EJB: Enterprise Java Been
JDBC: Java Database Connectivity
J2EE: Java 2, Enterprise Edition}
Big data was originally associated with three key concepts (3 Vs)
1) volume
2) variety
3) velocity
This is created for the storage and processing of big data.
1) Hadoop
2) Spark
3) NoSQL databases
4) All of them
All of them
a system or repository of data stored in its natural/raw format, usually object blobs or files
1) spark
2) data lake
3) data cloud
data lake
Big Data, data processing option(s)
1) batch processing
2) stream processing
both
Stream processing is more complex and often more expensive.
big data analysis method(s)
1) Data mining
2) Predictive analytics
3) Deep learning
all of them
________ stores the huge amount of data through a system called HDFS and processes this data with the technology of ___________
1) Spark, Hadoop
2) Hadoop, Map Reduce
3) Spark, Map Reduce
4) Hadoop, Spark
Hadoop, Map Reduce
Components of Hadoop
1) HDFS
2) Map reduce
3) YARN
all of them
HDFS: Hadoop Distributed File System
YARN: Yet Another Resource Negotiator
NoSQL database
1) non-relational
2) no fixed schema
all of them
an open-source framework that efficiently stores and processes
big datasets on clusters of commodity hardware.
1) Hadoop
2) Spark
3) Tableau
Hadoop
Hadoop, YARN stands for
1) Yet Another Resource Network
2) Yet Another Resource Negotiator
Yet Another Resource Negotiator
an open source cluster computing framework that uses implicit data parallelism and fault tolerance to provide an interface for programming entire clusters.
1) Hadoop
2) Spark
3) Tableau
Spark
Is an end-to-end data analytics platform that allows you to prep,
analyze, collaborate, and share your big data insights.
1) Hadoop
2) Spark
3) Tableau
Tableau
Tableau excels in self-service visual analysis
Challenges of big data
1) Making big data accessible
2) Maintaining quality data
3) Keeping data secure
4) Finding the right tools and platforms
All of them