The document discusses new features in Oracle 12c for analytics including: 1. Advanced analytics capabilities such as Oracle Data Mining, Oracle R Enterprise, and the ability to analyze large datasets of up to 10 billion rows in a week. 2. Performance improvements for partitioning, such as asynchronous global index maintenance and online partition movement. 3. Enhancements to the cost-based optimizer including dynamic sampling, cardinality feedback, and concurrent statistics gathering for faster query optimization. 4. Advanced analytics features like new data mining algorithms, predictive queries, and improved integration with Oracle Business Intelligence.

1. Oracle 12c Analytics New
Features
Husnu Sensoy
Global Maksimum Data & Information Technologies

2. 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

3. New Features for Analytics
•
Partitioning
•
CBO
•
Advanced Analytics
•
Data Management

4. Partitioning
•
Core Functionality
•
•
Interval-REF Partitioning
Performance
•
•
•
Partition Maintenance on multiple
partitions
Partial local and global indexes
Manageability
•
Asynchronous global index
maintenance for DROP/TRUNCATE
•
Online partition MOVE
•
Cascading TRUNCATE/EXCHANGE

5. Cost Based Optimiser
•
Adaptive Statistics
•
Dynamic Sampling (LEVEL=11)
•
Cardinality Feedback Enhancement
•
Re-optimisation
•
Histograms
•
Better and Faster Statistics Gathering
•
•
Session private statistics on GTT
•
•
STATS_ON_LOAD: For CTAS and IAS on empty
tables
Concurrent statistics gathering
Adaptive Plans
•
Join methods
•
Parallel distribution methods

6. Adaptive Query Optimisation
SELECT product_name
FROM
order_items o,
product_information p
WHERE o.unit_price = 15
AND o.quantity > 1
AND p.product_id = o.product_id
NESTED
LOOP
HASH JOIN
threshold
Stats collector
Table scan
order_items
Index scan
prod_info_idx
Table scan
product_information

7. Adaptive Query Optimisation
•
Join method decision deferred until runtime
•
•
Alternate sub-plans are pre-computed and stored in
the cursor
•
•
Default plan is computed using available statistics
Statistic collectors are inserted at key points in the
plan
Data distribution method can also be changed during
execution.

8. Advanced Analytics
•
Oracle Advanced Analytics 12c
•
New Data Mining Algorithms
•
•
SVD - PCA
•
•
EM (Expectation Maximisation)
Predictive Queries
Oracle Data Miner/SQL Developer 4.0
•
•
SQL Query Node
•
•
New Graph Node (box,scatter, bar,histogram)
R Script Node
Oracle Advanced Analytics/ORE 1.3
•
Neural Networks
•
Improved integration with OBIEE

9. Predictive Queries
SELECT cust_income_level,
cust_id,
Round(prob_anom, 2)
prob_anom,
Round(pctrank, 3) * 100 pct_rank
FROM
(SELECT cust_id,
cust_income_level,
prob_anom,
Percent_rank()
over(
PARTITION BY cust_income_level
ORDER BY prob_anom DESC) AS pct_rank
FROM
(SELECT cust_id,
cust_income_level,
Prediction_probability(OF ANOMALY,0 using *)
over(
PARTITION BY cust_income_level) prob_anom
FROM
customers))
WHERE pct_rank <= .05
ORDER BY cust_income_level, prob_anom desc

10. SQL Pattern Matching
X YWZ
first_x
1
9
9
13
1
last_z
19
13
19
SELECT first_x, last_z
FROM ticker MATCH_RECOGNIZE (
PARTITION BY name ORDER BY time
MEASURES
FIRST(x.time) AS first_x
LAST(z.time) AS last_z
ONE ROW PER MATCH
PATTERN (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))

11. Automatic Data Optimisation
(ADO)

12. Automatic Data Optimisation (ADO)
Policy
Active/Hot
Frequently Accessed
Occasional Access
Dormant
ALTER TABLE sales ILM ADD row store
compress advanced row after 2 DAYS OF
NO_MODIFICATION;
ALTER TABLE sales ILM ADD compress
for query low after 7 DAYS OF
NO_MODIFICATION;
ALTER TABLE sales ILM ADD TIER TO
sata_tbs AFTER 1 MONTH OF NO ACCESS;
ALTER TABLE sales ILM ADD compress
for archive high AFTER 7 MONTHS OF NO
ACCESS;

13. Q& A