1. EDW and Hadoop
Where do WE Go from Here ?

2. •
Hadoop –
Enterprise DW–
BI –

3. HADOOP
CLUSTER Open Source -
FAULT TOLERANT -
-
REPLICATION -
MPP

4. HADOOP
HADOOP •
TERABYTE
PETABYTE
•
-NODE

5. Hadoop
Hadoop Distributed File System HDFS •
Column Oriented HBASE •
DW HIVE •
Structured SQL
UNSTRUCTED
PIG •
4GL
HADOOP Zookeeper •
DICTIONARY

6. HADOOP COMMON COMPONENETS

7. HADOOP
•
– More than one-half (54%) of organizations surveyed are using or considering
Hadoop for large-scale data processing needs
– More than twice as many Hadoop users report being able to create new products
and services and enjoy costs savings beyond those using other platforms; over 82%
benefit from faster analyses and better utilization of computing resources
– 87% of Hadoop users are performing or planning new types of analyses with large
scale data
– 94% of Hadoop users perform analytics on large volumes of data not possible
before; 88% analyze data in greater detail; while 82% can now retain more of their
data
– Organizations use Hadoop in particular to work with unstructured data such as logs
and event data (63%)
– More than two-thirds of Hadoop users perform advanced analysis — data mining
or algorithm development and testing

8. • “The bottom line is that Hadoop is the future of the
cloud EDW, and its footprint in companies’ core EDW
architectures is likely to keep growing throughout this
decade. “ James Kobelius, Forrester Research
• Companies will continue to use conventional BI for
mainstream business users to do ad hoc queries and
reports, but they will supplement that effort with a big-
data analytics environment optimized to handle a
torrent of unstructured data – which, of course, has
been part of the goal of enterprise data warehousing
for a long time.

9. HADOOP
•
•
SQL •
•
•
•
•
•

10. BIG DATA HADOOP
BIGDATA •
•
•