Oracle Analytics

8/10/2019 Oracle Analytics

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Oracle 12c Analytics New

FeaturesHusnu SensoyGlobal Maksimum Data & Information Technologies


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Global Maksimum Data & Information Technologies

Complex Event Processing

Oracle CEP

Making hundred of different business decisions for millions of events in a second

! Advanced Analytics

Oracle Data Mining

Oracle R Enterprise

! Large scale data analytics

Ten billion rows in a week

Data Visualisation

State of the art data visualisation

DIY BI


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New Features for Analytics

Partitioning

CBO

Advanced Analytics

Data Management


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Cost Based Optimiser

Adaptive Statistics

Dynamic Sampling (LEVEL=11)

Cardinality Feedback Enhancement

Re-optimisation

Histograms

Better and Faster Statistics Gathering

STATS_ON_LOAD: For CTAS and IAS on empty

tables

Session private statistics on GTT

Concurrent statistics gathering

Adaptive Plans

Join methods

Parallel distribution methods


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Adaptive Query Optimisation

SELECTproduct_nameFROM order_items o,

product_information pWHERE o.unit_price = 15

ANDo.quantity > 1ANDp.product_id = o.product_id

threshold


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Adaptive Query Optimisation

Join method decision deferred until runtime

Default plan is computed using available statistics

Alternate sub-plans are pre-computed and stored in

the cursor

Statistic collectors are inserted at key points in the

plan

Data distribution method can also be changed during

execution.


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Advanced Analytics Oracle Advanced Analytics 12c

New Data Mining Algorithms

EM (Expectation Maximisation)

SVD - PCA

Predictive Queries

Oracle Data Miner/SQL Developer 4.0

New Graph Node (box,scatter, bar,histogram)

SQL Query Node

R Script Node

Oracle Advanced Analytics/ORE 1.3

Neural Networks

Improved integration with OBIEE


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SQL Pattern Matching

X Y W Z

SELECTfirst_x, last_z

FROMticker MATCH_RECOGNIZE(

PARTITION BYname ORDER BYtime

MEASURES FIRST(x.time) ASfirst_xLAST(z.time) ASlast_z

ONE ROW PER MATCHPATTERN(X+ Y+ W+ Z+)DEFINE X AS(price < PREV(price))

Y AS(price > PREV(price))

W AS(price < PREV(price))Z AS(price > PREV(price))

first_x last_z1 9

13 19

1 9 13 19


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Automatic Data Optimisation

(ADO)


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Automatic Data Optimisation (ADO)

Policy

Active/HotALTER TABLE sales ILM ADD row store

compress advanced row after 2 DAYS OF

NO_MODIFICATION;

Frequently AccessedALTER TABLE sales ILM ADD compress

for query low after 7 DAYS OF

NO_MODIFICATION;

Occasional AccessALTER TABLE sales ILM ADD TIER TO

sata_tbs AFTER 1 MONTH OF NO ACCESS;

DormantALTER TABLE sales ILM ADD compress

for archive high AFTER 7 MONTHS OF NO

ACCESS;


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Q & A

Oracle Analytics

Documents

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