Busting 10 myths about Hadoop:
1: Hadoop consists of multiple products
2: Hadoop is open source but available from vendors, too
3: Hadoop is an ecosystem, not a single product
4: HDFS is a file system, not a database management system (DBMS)
5: Hive resembles SQL but is not standard SQL
6: Hadoop and MapReduce are related but don't require each other
7: MapReduce provides control for analytics, not analytics per se
8: Hadoop is about data diversity, not just data volume
9: Hadoop complements a DW; it's rarely a replacement
10: Hadoop enables many types of analytics, not just Web analytics
#Analytics
#BigData
#Hadoop
#MapReduce
#HDFS
https://www.sas.com/en_us/news/sascom/2013q4/busting-10-myths-about-hadoop.html
@BigDataTechnology
1: Hadoop consists of multiple products
2: Hadoop is open source but available from vendors, too
3: Hadoop is an ecosystem, not a single product
4: HDFS is a file system, not a database management system (DBMS)
5: Hive resembles SQL but is not standard SQL
6: Hadoop and MapReduce are related but don't require each other
7: MapReduce provides control for analytics, not analytics per se
8: Hadoop is about data diversity, not just data volume
9: Hadoop complements a DW; it's rarely a replacement
10: Hadoop enables many types of analytics, not just Web analytics
#Analytics
#BigData
#Hadoop
#MapReduce
#HDFS
https://www.sas.com/en_us/news/sascom/2013q4/busting-10-myths-about-hadoop.html
@BigDataTechnology
Sas
Busting 10 myths about Hadoop
Philip Russom, TDWI, clears up common misconceptions about what Hadoop is and does