Download PDF by Sam S. Lightstone, Paul Zikopoulos, Matthew Huras, Aamer: DB2 10.5 with BLU Acceleration: New Dynamic In-Memory

By Sam S. Lightstone, Paul Zikopoulos, Matthew Huras, Aamer Sachedina, George Baklarz

ISBN-10: 0071823549

ISBN-13: 9780071823548

Improve TO the hot new release OF DATABASE software program FOR THE period of massive DATA!

If colossal info is an untapped traditional source, how do you discover the gold hidden inside? Leaders discover that giant information ability all facts, and are relocating fast to extract extra worth from either established and unstructured software info. besides the fact that, examining this information can turn out high priced and intricate, in particular whereas retaining the supply, functionality and reliability of crucial enterprise applications.

In the recent period of massive info, companies require facts platforms which could combination always-available transactions with speed-of-thought analytics. DB2 10.5 with BLU Acceleration presents this velocity, simplicity, and affordability whereas making it more straightforward to construct next-generation purposes with NoSQL good points, similar to a mongo-styled JSON record shop, a graph shop, and extra. Dynamic in-memory columnar processing and different concepts carry quicker insights from extra facts, and improved pureScale clustering know-how grants high-availability transactions with application-transparent scalability for enterprise continuity.

With this publication, you'll find out about the ability and adaptability of multiworkload, multi-platform database software program. Use the excellent wisdom from a workforce of DB2 builders and specialists to start with the most recent DB2 trial model you could obtain at ibm.com/developerworks/downloads/im/db2/.

Stay brand new on DB2 by way of traveling ibm.com/db2/.

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Extra info for DB2 10.5 with BLU Acceleration: New Dynamic In-Memory Analytics for the Era of Big Data

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E: This query has wrong order of columns to sort: results need to be sorted first by semester, than by grade point average. OCP Introduction to Oracle 9i: SQL Exam Guide, Jason Couchman, p. 56-61 Chapter 2: Limiting, Sorting, and Manipulating Return Data QUESTION NO: 41 The ORDERS table has these columns: ORDER_ID CUSTOMER_ID ORDER_TOTAL NUMBER(4) NUMBER(12) NUMBER(10,2) NOT NULL NOT NULL The ORDERS table tracks the Order number, the order total, and the customer to whom the Order belongs. 00 dollars?

A. UPDATE new_employees SET name = (Select last_name|| first_name FROM employees Where employee_id =180) WHERE employee_id =180; B. UPDATE new_employees SET name = (SELECT last_name||first_name FROM employees) WHERE employee_id =180; C. com - 30 - 1z0 -007 FROM employees WHERE employee_id =180) WHERE employee_id =(SELECT employee_id FROM new employees); D. UPDATE new_employees SET name = (SELECT last name|| first_name FROM employees WHERE employee_id= (SELECT employee_id FROM new_employees)) WHERE employee_id =180; Answer: A Explanation: Sub-query in this answer will return one row value, concatenated first and last name for the employee with ID 180, so update will be successful.

Immediately after the SELECT clause Before the WHERE clause Before the FROM clause After the ORDER BY clause After the WHERE clause Answer: E Explanation: The GROUP BY clause can be place only after the WHERE clause, or after FROM clause if there is no the WHERE clause in the statement. Incorrect Answers A: It is not possible to place the GROUP BY clause immediately after the SELECT clause. B: It is not possible to place the GROUP BY clause before the WHERE clause, it can be done only after it.

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DB2 10.5 with BLU Acceleration: New Dynamic In-Memory Analytics for the Era of Big Data by Sam S. Lightstone, Paul Zikopoulos, Matthew Huras, Aamer Sachedina, George Baklarz


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