Explain about various caches available in Data Integrator

Correct Answer: Cascade: - Cascade process involves taking values from various other prompts - The result is a single report - The result is used when a criteria is to be implemented Drill Through: - Drill Through process is implemented when navigation from summary to detailed information - Drill Through has a parent and a child report - Data of another report can be seen based on the current details of data

Correct Answer: There are many algorithms that can be used to analyze the database to check the maintenance of all the data sets that are already present The different types of cluster models include as follows: - Connectivity models: these are the models that connect one cluster to another cluster This includes the example of hierarchical clustering that is based on the distance connectivity of one model to another model - Centroid models: these are the models that are used to find the clusters using the single mean vector It includes the example of k-means algorithm - Distribution models: it includes the specification of the models that are statistically distributed for example multivariate normal distribution model - Density models: deals with the clusters that are densely connected with one another in the regions having the data space - Group models: specifies the model that doesn?t provide the refined model for the output and just gives the grouping information

Correct Answer: Cluster analysis is used to define the object without giving the class label It analyzes all the data that is present in the data warehouse and compare the cluster with the cluster that is already running It performs the task of assigning some set of objects into the groups are also known as clusters It is used to perform the data mining job using the technique like statistical data analysis It includes all the information and knowledge around many fields like machine learning, pattern recognition, image analysis and bio-informatics Cluster analysis performs the iterative process of knowledge discovery and includes trials and failures It is used with the pre-processing and other parameters as a result to achieve the properties that are desired to be used

Correct Answer: Bitmap indexes make use of bit arrays (bitmaps) to answer queries by performing bitwise logical operations Bitmap indexes are useful in the data warehousing applications Bitmap indexes have a significant space and performance advantage over other structures for such data Tables that have less number of insert or update operations can be good candidates The advantages of Bitmap indexes are: - They have a highly compressed structure, making them fast to read - Their structure makes it possible for the system to combine multiple indexes together so that they can access the underlying table faster The Disadvantage of Bitmap indexes is: - The overhead on maintaining them is enormous

Correct Answer: Data cleaning is also known as data scrubbing Data cleaning is a process which ensures the set of data is correct and accurate Data accuracy and consistency, data integration is checked during data cleaning Data cleaning can be applied for a set of records or multiple sets of data which need to be merged Data cleaning is performed by reading all records in a set and verifying their accuracy Typos and spelling errors are rectified Mislabeled data if available is labeled and filed Incomplete or missing entries are completed Unrecoverable records are purged, for not to take space and inefficient operations

Correct Answer: - Scheduling and executing the batch jobs - Configuring, starting and stopping the real-time services - Adapters configuration and managing them - Repository usage, Job Server configuration - Access Server configuration - Batch job publishing - Real-time services publishing through web services

Correct Answer: - The process of combining data from different resources - The combined data is provided to the users with unified view - Information from different enterprise domains are integrated ? known as Enterprise Information Integration - Useful for merging information from different technologies among enterprises - The sub areas of data integration are 1 Data Warehousing 2 Data Migration 3 Master Data Management

Correct Answer: Following are the benefits of data integration: - Makes reporting, monitoring, placing customer information across the enterprise flexible and convenient - Data usage is efficient - Cost Effective - Risk adjusted profitability management as it allows accurate data extraction - Allows timely and reliable reporting, as data quality is the prime technology for business challenges

Correct Answer: Following are the data integration factors: - Sub set of the available data should be optimal - Noise/distortion estimation levels because of sensory/processing conditions at the time of data collection - Accuracy, spatial and spectral resolution of data - Data formats, storage and retrieval mechanisms - Efficiency of computation for integrating data sets to reach the goals

Correct Answer: Look for the existence of the following items: - Generic Data Models - An Enterprise Data Platform - Identify the Data Sources - Selection of a MDM Product - Implementation of a Customer Master Index or appropriate alternative