Tag: databases

1. To show current warehouse product output levels on an assembly line

1. To track realtime sales figures

1. To help users make better business decisions

1. To show orders currently being processed

1. To keep track of business contacts and leads

1. Comprehensive data on operations from all departments

1. A subset of a data warehouse

1. Individual invoices

1. Accounting profit and loss reports

1. Data managed by a particular department of the company

1. Data fields that reference numeric data should be indexed.

1. Only data fields that change over time should be indexed.

1. Data fields that are referenced by queries should be indexed.

1. All data fields should be indexed.

1. Data fields that reference text and large object data should be indexed.

1. Data about an organization's staff

1. Data about accounting entries

1. Data about an organization's structure

1. Data about an organization's products

1. Data about transaction activity

1. Capture and store data rules.

1. Generate programs to extract data from a source system.

1. Store data warehouse database designs.

1. Store the layout or design of the load files.

1. Generate programs to transform data.

1. Bollenger bands

1. Averaging

1. Prediction joins

1. Analytic parsing

1. Relative strength

1. Snowflake queries are faster than the star schema.

1. Snowflake links each table to each other, while star schema links each table to a central table.

1. Snowflake has additional tables linked to the outer tables of a star schema.

1. Snowflake is more optimized for a data warehouse.

1. Snowflake is less complicated than star schema.

1. Database backups

1. Time an uncommon query will take

1. People entering data into the source database

1. Number of tables in the data mart, so they do not exceed six tables

1. Requirements of the department that will use the data mart

A only

Both A nad B

B Only

Both B and C

select min(field4) as Min,Max(field4) as Max,(select Max(field4) from table1 where field4 not in(Select Min(field4) from table1)) as 2nmax from table1

select min(field4) as Min,Max(field4) as Max,(select Min(field4) from table1 where field4 not in(Select Max(field4) from table1)) as 2nmax from table1

select min(field4) as Min,Max(field4) as Max,(select Max(field4) from table1 where field4 not in(Select Max(field4) from table1)) as 2nmax from table1

None of the Above