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Oracle Essbase Certification
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Interview Questions and Answers

Troubleshooting involves examining the Essbase logs, reviewing calculation scripts and data load rules for errors, using the Essbase Administration Services (EAS) console for monitoring, and using debugging tools like Essbase Studio.

An Essbase administrator is responsible for designing, implementing, and maintaining Essbase cubes. They manage user security, optimize performance, troubleshoot issues, and ensure data integrity.

The Essbase Java API provides a set of classes and interfaces that allow developers to programmatically interact with Essbase. It can be used to automate tasks, build custom applications, and integrate Essbase with other systems.

A partition allows you to combine data from multiple Essbase cubes into a single logical view. This can improve performance by distributing data across multiple servers or consolidating data from different sources.

There are Transparent Partitions (read-through access), Replicated Partitions (data copied to the target cube), and Linked Partitions (data refreshed on demand).

A dense dimension is a dimension where most combinations of its members have data. Using dense dimensions correctly can improve calculation and retrieval performance.

Block Storage (BSO) stores data in blocks, optimized for calculations. Aggregate Storage (ASO) pre-aggregates data for fast retrieval, ideal for reporting on very large datasets. ASO generally offers faster data retrieval, while BSO provides more flexibility for complex calculations.

Data can be loaded into Essbase using various methods, including: Data Load Rule files, MaxL scripts, and through APIs like Essbase Java API or REST API. Data Load Rules are the most common method.

Data Load Rules define the mapping between a data source (e.g., a text file or relational table) and the Essbase cube. They specify how data is transformed and loaded into the appropriate dimensions and members.

Security in Essbase is managed through user and group access rights. Administrators can grant or deny access to specific cubes, dimensions, members, and data cells. Security filters can also be used to restrict data visibility based on user roles.

A cube (or database) in Essbase is a multidimensional structure that stores and organizes data. Its defined by dimensions, and the intersection of members from different dimensions represents a specific data point (cell).

Calculation scripts define the rules and logic for performing calculations within the Essbase database. They can be used to aggregate data, allocate values, perform complex formulas, and customize data manipulation.

MDX (Multidimensional Expressions) is a query language used to retrieve data from multidimensional databases like Essbase. It allows users to specify the dimensions and members they want to extract, enabling complex data retrieval and analysis.

Common functions include: SUM, AVG, MIN, MAX, IF, @CHILDREN, @IDESCENDANTS, @ATTRIBUTE, @ISMBR, @PRIOR, @NEXT. These functions enable calculations across dimensions and members.

Performance optimization strategies include: efficient cube design, optimizing calculation scripts, using appropriate sparse/dense settings, partitioning the database, optimizing MDX queries, proper data load techniques, and hardware considerations.

A sparse dimension is a dimension where not every combination of its members has data. This leads to many empty cells in the cube. Properly identifying sparse dimensions is important for performance.

Essbase (Extended Spread Sheet Base) is an Online Analytical Processing (OLAP) server that provides a multidimensional database platform for business intelligence and analytics. It allows users to analyze large volumes of data from various perspectives and perform sophisticated calculations.

Key features include multidimensional analysis, hierarchical data organization, robust calculation engine, data aggregation, forecasting capabilities, security features, reporting tools, and integration with other business intelligence platforms.

Essbase is an OLAP database designed for analysis, focusing on aggregated data and multidimensional views. Relational databases (like SQL Server, Oracle) are OLTP databases designed for transactional data storage and retrieval, optimized for individual record access.

A dimension represents a category of data (e.g., Time, Product, Geography). Members are the individual elements within a dimension (e.g., Jan, Feb, Mar for the Time dimension; Product A, Product B, Product C for the Product dimension).

Business intelligence includes the strategies and technologies used by enterprises for the data analysis of business information. BI technologies provide historical, current, and predictive views of business operations.

A reporting application goes through three stages: authoring, managing, and delivery.

In general Reporting Services components are of the following types: Report Builder, Report Designer, Report Manager, Report Server, Report server database and Data sources.

You can export the reports to various formats once you have run your report. Tabular reports can be exported to spreadsheets, Text, PDF and HTML. Graphs can also be exported to image files or documents.

BI applications support various activities, such as decision support systems, online analytical processing, querying and reporting, forecasting and data mining, and statistical data analysis.

There are 4 key areas where report generation slowdown may occur: Data refresh, Model calculations, Visualization rendering, Everything else

The database schema of a database is it's structure described in a formal language supported by the database management system (DBMS). The term \"schema\" refers to the organization of data as a blueprint of how the database is constructed (divided into

A data-driven subscription provides a way to use dynamic subscription data that is retrieved from an external data source at run time. A data-driven subscription can also use static text and default values that you determine when the subscription is defin

Universe is a semantic layer that maps complex data into descriptive business terms used across the organization, such as product, customer, region, revenue, margin or costs. This layer resides between an organization's database and the end-user.

OLTP (Online transaction processing) captures, stores, and processes data from transactions in real-time. OLAP (Online analytical process) uses complex queries to analyze aggregated historical data from OLTP systems.

Data Warehouse System is a system used for reporting and data analysis, and is considered a core component of business intelligence. Data Warehouses are central repositories of integrated data from one or more disparate sources.

Snowflak

Slicing and Dicing is about breaking down a body of information into smaller pieces, or analyzing it from various points of view so that you can better understand it. In data analysis, the term usually means a systematic reduction of smaller sections or v

Data masking or data scrambling or data anonymization is the process of replacing sensitive information copied from production databases to test non-production databases with realistic, but scrubbed (eg *, #), data based on masking rules. Sometimes Data

Canned reports, Ad hoc and Batch reports.

Ad hoc reporting is a report created for a one-time-use. A reporting tool can make it possible for anyone in an organization to answer a specific business question and present that data in a visual format. Canned reports are preformatted reports that are

C++, Python, Java, C#, proprietary programming language of the reporting tool, ABAP etc.

The security setup required for Authorization Concepts in reporting needs. The Authorization Concepts are segregated to several different categoriesof users as end-users, developers, production support, testing etc

High-level Categories:

– Fu

Steps to create parameters to dynamically change what you see, and even sort by measurements that do not even have to be seen.

Step 1: Create your first parameter.

Step 2: Create a table calculation to link your parameter to measures.

Step

TRUNCATE always removes all the rows from a table, leaving the table empty and the table structure intact while DELETE may remove conditionally if the where clause is used. The rows deleted by TRUNCATE TABLE statement cannot be restored and you can not sp

The traditional database stores information in a relational model and prioritizes the transactional processing of the data. This is known as an OLTP database. Data warehouses prioritize and gives importance to analysis, and are known as OLAP databases.

Explain with examples keeping in job JD in mind.

Model–view–controller(MVC) is a software design pattern used for developing user interfaces that separate the related program logic into three interconnected elements. Each of these components is built to handle specific development aspects of an applicat

Explain specific instances with respect to the job JD.

(1) Choose the Right Technology when picking up a programming language, Database, Communication Channel.

(2) The ability to run multiple servers and databases as a distributed application over multiple time zones.

(3)Database backup, correcti

Object-oriented programming is a programming paradigm based on the concept of \"objects\", which can contain data, in the form of fields, and code, in the form of procedures. A feature of objects is that objects' own procedures can access and often modify

Most modern development processes can be described as agile. Other methodologies include waterfall, prototyping, iterative and incremental development, spiral development, rapid application development, and extreme programming.

Software Development Life Cycle (SDLC) is a process used to design, develop and test high-quality software. Also referred to as the application development life-cycle.

Software testing is called the process or method of identifying errors in an application or system, such that the application works according to the requirement of end-users. It is an examination carried out to provide users the information on the quality

Explain specific instances with respect to the job JD.

The primary aim of the code review is to ensure that the codebase overall product quality is maintained over time. It helps give a fresh set of eyes to identify bugs and simple coding errors. All of the tools and processes of code review are designed to t

The most common software sizing methodology has been counting the lines of code written in the application source. Another approach is to do Functional Size Measurement, to express the functionality size as a number by performing Function point analysis.

The major parts to project estimation are effort estimation, cost estimation, resource estimate. In estimation, there are many methods used as best practices in project management such as-Analogous estimation, Parametric estimation, Delphi process, 3 Poin

Functional requirements are the specifications explicitly requested by the end-user as essential facilities the system should provide. Non-functional requirements are the quality constraints that the system must satisfy according to the project contract,

Validation is the process of checking whether the specification captures the user's needs, while verification is the process of checking that the software meets the specification.

Different Types Of Software Testing - Unit Testing, Integration Testing, System Testing, Sanity Testing, Smoke Testing, Interface Testing, Regression Testing, Beta/Acceptance Testing.

Quality control can be defined as a \"part of quality management concentrating on maintaining quality requirements.\" While quality assurance relates to how a process is carried out or how a product is produced, quality control is more the quality managem