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Extraction is the identification and extraction of raw data, possibly in multiple formats, from several sources, not all of which may be relational databases Transformation of data is the most challenging and time consuming of the three processes Transformation of data may involve the application of complex rules to data It may also include performing operations such as data aggregation and the application of functions to the raw data Loading is the process of placing the data in the database tables This may also include the task of maintaining indexes and constraints on the tables Traditionally, organizations have used two different methods of performing the ETL process: the transform-then-load method and the load-then-transform method In the former method, the data is cleaned or transformed before it s loaded into Oracle tables Custom-made ETL processes are usually used for the transformation of data.

In the latter method of data cleansing, you aren t fully taking advantage of Oracle s built-in transformation capabilities in most cases In the load-thentransform method, the raw data is first loaded into staging tables and moved to the final tables after the data transformation process is performed within the database itself Intermediate staging tables are the key to the load-then-transform method The drawback to this technique is that you must maintain multiple types of data in the table, some in a raw and original state and some in a finished state Oracle Database 11g offers terrific ETL capabilities that enable a newer way to load data into a database: the transform-while-loading method By using the Oracle database to perform all the ETL steps, you can efficiently perform the typically laborious ETL processes.

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Note Trailing NULL columns consume 0 bytes of storage in Oracle. This means that if the last column in a table

We can see that as we added significant digits to X, the amount of storage required took increasingly more room. Every two significant digits added another byte of storage. But a number just one larger consistently took 2 bytes. When Oracle stores a number, it does so by storing as little as it can to represent that number. It does this by storing the significant digits, an exponent used to place the decimal place, and information regarding the sign of the number (positive or negative). So, the more significant digits a number contains, the more storage it consumes. That last fact explains why it is useful to know that numbers are stored in varying width fields. When attempting to size a table (e.g., to figure out how much storage 1,000,000 rows would need in a table), you have to consider the NUMBER fields carefully. Will your numbers take 2 bytes or 20 bytes What is the average size This makes accurately sizing a table without representative test data very hard. You can get the worst-case size and the best-case size, but the real size will likely be some value in between.

Oracle provides you with a whole set of complementary tools and techniques aimed at reducing the time needed to load data into the database while simplifying the work involved Oracle s ETL solution includes the following components: External tables: External tables provide a way to merge the loading and transformation processes Using external tables will enable you to eliminate cumbersome and time-consuming intermediate staging tables during data loading External tables are discussed in the Using External Tables to Load Data section in this chapter Multitable inserts: Using the multitable insert feature, you can insert data into more than one table at the same time, using different criteria for the various tables This capability eliminates the additional step of first dividing data into separate groupings and then performing data loading Multitable inserts are discussed in the Using Multitable Inserts section in this chapter.

is NULL, Oracle stores nothing for it. If the last two columns are both NULL, there will be nothing stored for either of them. But if any column after a NULL column in position is not null, then Oracle will use the null flag, described in this section, to indicate the missing value.

Upserts: This is simply a made-up name indicating the technique by which you can either insert data into a table or just update the rows with a single SQL statement: MERGE The MERGE statement will insert new data and update data if the rows already exist in the table This simplifies your loading process because you don t need to worry about whether a table already contains the data Upserts are discussed in the Using the MERGE Statement section in this chapter Table functions: Table functions produce a set of rows as output Table functions return a collection type instance (nested table and VARRAY data types) Table functions are similar to views, but, instead of defining the transform declaratively in SQL, you define it procedurally in PL/SQL.

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