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Unique Architecture
Cloudera
Nuno Barreto
Associate Partner & Big Data Lead
nuno.barreto@xpand-it.com
Proprietary & Confidential www.xpand-it.com
BIG DATA
THE 3Vs
V olume
V ariety
V elocity
AND THE 4th AND 5th Vs
V eracity
V alue
HADOOP “RECAP”
THE BIGINNING
TODAY – THE ULTIMATE DATA TOOLKIT
DATA DEFINITIONS
STRUCTURED
SEMI-STRUCTURED
UNSTRUCTURED
DATA LOCALITY
X86 X86 X86 X86
NODE1 NODE2 NODE3 NODEN
...
CLOUDERA ON THE ENTERPRISE
Sensor
Data
Blogs
Emails
Web
Logs
Docs
(e.g.PDF)
Images
Videos
CRM ERP Legacy
3rd
Patry
Extract (includesFileTansfer),TransformandLoad
Scale-out DistributedDatabase
Visualization(Reporting,ExplorationandSandboxing)
RawDataSources Operational Systems
DW&DATAMARTs
HADOOP MYTHS
MYTH 1
SEMI-STRUCTURED
HADOOP
is only good for
DATA
HADOOP IS FOR ALL DATA
INDEED GREAT FOR SEMI-
STRUCTURED DATA
GREAT FOR SQLAT SCALE
(HIVE/IMPALA)
EVEN GREAT FOR UNSTRUCTURED
DATA
FAST QUERYING
(IMPALA/HBASE/KUDU)
MYTH 2
BATCH
HADOOP
is only good for
REALTIME END TO END
KAFKA
SPARK
DEVELOPERS
FAST
ANALYTICS
QUERY LATENCY
BATCH SQL
20 min to 20 hours
Large ETL, Data mining
OPERATIONAL SQL
<100 ms
Indexed queries
INTERACTIVE SQL
100 ms to 20 minutes
Interactive queries, Reporting
INTERACTIVE SQL ENGINES
BI & SQL
ANALYTICS
SPARK
DEVELOPERS
(REALLY) FAST QUERY
HBASE
NOSQL
FAST
ANALYTICS
BI & SQL
ANALYTICS
MYTH 3
SPARK
HADOOP
is going to be replaced by
HADOOP IS NOT (ONLY) MAP REDUCE
HADOOP IS A COMMON DESIGNATION
FOR THE ENTIRE STACK
ONE PLATFORM INITIATIVE BY
CLOUDERA: UNITING SPARK AND
HADOOP
MYTH 4
SECURE
HADOOP
is not
KERBEROS AUTHENTICATION
MIT KERBEROS
AUTHORIZATION
for and
andACLs for
ENCRYPTION
PCI-DSS COMPLIANT
IS
THE STACK
HADOOP DISTRO KEY FEATURES
MANAGEABLE
RICH ENOUGH TOOL SET
OPEN STANDARDS FIRST
SECURITY AND COMPLIANCE
NOT FOR ONLY ONE USE CASE
CLOUDERA DATA HUB
QUESTIONS?

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