The document discusses the significance of big data and its management using tools like Apache Hadoop, which provides scalable solutions for processing large datasets. It highlights various analytics types, including predictive and prescriptive analytics, and the role of data warehousing in integrating data from diverse sources. Moreover, it outlines multiple business intelligence tools and platforms such as IBM Cognos and Oracle Hyperion that support data analysis and reporting.

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2.  BIG DATA
 BUSINESS ANALYTICS
 DATA WATERHOUSING
 JAVA
 MICROSOFT
 MOBILE APPLICATIONS
 NETWORK ADMIN
 ORACLE
 PEOPLESOFT
 SALESFORCE
 SAP
 TESTING TOOLSPhone No +1(210)503-7100 http://radiantits.com/

3.  Extremely large datasets that are hard to deal with
using Relational Databases
 Storage/cost
 Search/Performance
 Analytics and Visualization
 Need for Parallel processing on hundreds of
machines
 ETL cannot complete within a reasonable time
 Beyond 24hrs-never catch up
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4.  Big Data is a collection of large datasets that cannot be
adequately processed using traditional processing
techniques. Big data is not only data it has become a
complete subject, which involves various tools,
techniques and frameworks.
 Data is being generated about the activities of people
and inanimate objects on a massive and increasing scale.
 We examine how much data is involved, how much
might be useful, what tools and techniques are available
to analyze it, and whether businesses are actually getting
to grips with big data.
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5.  HADOOP
ADMINISTRATION
 HADOOP
DEVELOPER
 HADOOP
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6.  HADOOP ADMINISTRATION: Apache Hadoop is the open
source data management software that helps organizations
analyze huge volumes of structured and unstructured data, is a
very hot topic across the tech industry. It can be quickly learn to
take advantage of the Map Reduce framework through technical
sessions and hands on labs.
 HADOOP DEVELOPER: Hadoop Developer with Spark
certification will let students create robust data processing
applications using Apache Hadoop. After completing this course,
students will be able to comprehend workflow execution and
working with APIs by executing joins and writing Map Reduce code.
 HADOOP: Apache Hadoop is the most important framework for
working with Big Data. Hadoop biggest strength is scalability. It
upgrades from working on a single node to thousands of nodes
without any issue in a seamless manner.
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7.  System shall manage and heal itself
 Automatically and transparently route around
failure
 Speculatively execute redundant tasks if certain nodes
are detected to be slow
 Performance Shall Scale linearly
 Compute should move to Data
 Simple core, modular and extensible
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8.  A Scalable fault-tolerant grid operating system for data
storage processing
 Commodity hardware
 HDFS: Fault-tolerant high –bandwidth clustered storage
 Map Reduce: Distributed data processing
 Work with structured and unstructured data
 Open source, Apache license
 Master-Slave architecture.
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11. Photo courtey of Dr. Nickie Cauthen
Hadoop is changing the perception
of handling Big Data especially the
unstructured data. Let’s know how
Apache Hadoop software library,
which is a framework, plays a vital
role in handling Big Data.
 APACHE HADOOP enables
surplus data to be streamlined for any
distributed processing system across
clusters of computers using simple
programming models.
It truly is made to scale up from
single servers to a large number of
machines, each and every offering
local computation, and storage space.
Instead of depending on hardware to
provide high-availability.
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16. Types of Business Analytics
 Decisive Analytics: Support human decisions with
visual analytics the user models to reflect reasoning.
 Descriptive Analytics: Gain insight from historical
data with reporting, scorecards, clustering etc.
 Predictive Analytics: Predictive model ling using
statistical and machine learning techniques.
 Prescriptive Analytics: Recommend decisions
using optimization, simulation etc.
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18.  Eliminate guesswork.
 Get faster answer to your question.
 Get insight into customer behavior.
 Identify cross selling and up selling opportunities
 Get key business metrics reports when and where
you need them.
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20.  Students
 Business Man
 Accountants
 Organization
 Companies
 Group of Industries
 Small firm
 Auditors
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21.  SPSS- SPSS Statistics is a software package
used for statistical analysis. Long produced by
SPSS inc., it was acquired by IBM in 2009.The
current versions are officially names IBM SPSS
Statistics.
 MS-EXCEL- Microsoft Excel is a spreadsheet
application developed by Microsoft Windows and
Mac OS.
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25.  Data warehousing is the process of constructing and using
a data warehouse.
 A data warehouse is constructed by integrating data from
multiple heterogeneous sources that support analytical
reporting, structured and/or ad hoc queries, and decision
making.
 Data warehousing involves data cleaning, data integration,
and data consolidations.
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27.  Dimensional Data Model: Dimensional data model is commonly used
in data warehousing systems. This section describes this modeling
technique, and the two common schema types, star
schema and snowflake schema.
 Slowly Changing Dimension: This is a common issue facing data
warehousing practioners. This section explains the problem, and
describes the three ways of handling this problem with examples.
 Conceptual Data Model: What is a conceptual data model, its
features, and an example of this type of data model.
 Logical Data Model: What is a logical data model, its features, and an
example of this type of data model.
 Physical Data Model: What is a physical data model, its features, and
an example of this type of data model.
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28. Conceptual, Logical, and Physical Data Model: Different levels of
abstraction for a data model. This section compares and contrasts the three
different types of data models.
Data Integrity: What is data integrity and how it is enforced in data
warehousing.
What is OLAP: Definition of OLAP.
MOLAP, ROLAP, and HOLAP: What are these different types of OLAP
technology? This section discusses how they are different from the other, and
the advantages and disadvantages of each.
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30.  DATA WAREHOUSING
 TIBCO BW
 TIBCO DATA WAREHOUSING
 TIBCO BW
 TIBCO
 SIEBEL ANALYTICS
 SIEBEL CRM
 WEBSPHERE
 TERA DATA
 HYPERION FINANCIAL REPORT
 HYPERION PLANNING
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31.  HYPERION FIN AN CIAL DATA QUALITY MAN AGEMEN T
 HYPERION IN TERACTIVE REPORT
 COGN OS PLAN N IN G AN D BUDGETIN G
 COGN OS TM1
 HYPERION FIN AN CIAL MAN AGEMEN T
 HYPERION DATA RELATION SHIP MAN AGEMEN T
 HYPERION ESSBASE
 MICROSTRATEGY
 AB IN ITIO
 DATA STAGE
 COGN OS
 IN FORMATICA
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33.  TIBCO: TIBCO is a robust and highly scalable platform
that can be used to develop new services, automate the
business processes, and integrate applications – minimal
code required. It has been market leader in
MIDDLEWARE Solutions.
 TIBCO BW is a business integration software that will
enable your business with great results, iProcess Suite
could be a tested and comprehensive beats per minute
suite that will allow any enterprise to model, automate, and
optimize any kind of business method from end to end
process.
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34.  SIEBEL ANALYTICS: Siebel Analytics is the best tool that is
used for analyzing the business data at each level and it is
prominent vendor of interoperable e-business software. It is
acquired by Oracle along with its Siebel acquisition.
 SIBEL CRM: Siebel CRM (Customer Relationship Management)
is a software program that helps a company with their CRM
processes. It boasts customer order management, contact
management, and other data management features. It is the part
of the Oracle family and runs as a standalone program.
 WEB SPHERE: Web Sphere is the IBM brand products that
implement and extend Sun’s Java Two Enterprise Edition platform.
It supports SOA and non-SOA environments. This is the
middleware software for SOA/ESB environments that activates the
dynamic, interconnected business processes and delivers highly
effective application infrastructures for all business situations.
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35.  TERA DATA: Tera Data is a Relational Database
Management System that is used to extract various
types of data from multiple sources and converts,
integrates and stores large scale data in a single place
and in a common format and its data Consolidation
make data available for analysis. The one of the
biggest strength of the Tera data is the parallelism.
 HYPERION FINANCIAL REPORTING (HFR) :
Hyperion Financial Reporting (HFR) is the Simplest and
robust reporting tool that is currently part of the Oracle
BI EE Plus bundle. It is the excellent multi-dimensional
reporting capabilities and scales very well unlike Web
Analysis.
 HYPERION PLANNING: Hyperion Planning is a
budgeting and forecasting application from Oracle
formerly owned by Hyperion Solutions Corporation
which integrates financial and operational planning
processes and improves business predictability.
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36.  HYPERION FINANCIAL DATA QUALITY MANAGEMENT:
Oracle Hyperion Financial Data Quality Management
(FDM) is a packaged data transformation tool that feeds
financial data to HFM, Planning, and Ess base. It is the
great tool for accountants and end users. It’s not only a
data translation tool, FDM also provides an audit trail to
the source financial data, assisting to ensure data
integrity and mapping consistency that allows for easy
reconciliation of financial data.
 HYPERION INTERACTIVE REPORT: Oracle Hyperion
Interactive Reporting is one of the main products in the
Oracle Business Intelligence Enterprise Edition Plus
software suite, an industry-leading business intelligence
platform. This Software Completely shares common
administration, user management, and installation and
configuration support with other Hyperion BI modules of
Oracle Business Intelligence Suite Enterprise Edition
Plus.
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37.  COGNOS PLANNING AND BUDGETING:IBM Cognos
Planning and Budgeting enables you to develop plans, budgets
and forecasts faster and more effectively. Using this
Application you can able to create, compare and evaluate
business scenarios. It also enables you to use best practices
such as driver-based planning and rolling forecasts to
determine resource requirements and future business results.
 COGNOS TM1:IBM Cognos TM1 is the enterprise planning
application software is used to transform your entire planning
cycle like collaborative planning, budgeting and forecasting
solutions, as well as analytical and reporting applications. It
gives immediate visibility into data, accountability within a
collaborative process, and a consistent view of information,
allowing managers to quickly stabilize operational fluctuations
and taking the advantage of new opportunities.
 HYPERION FINANCIAL MANAGEMENT: Hyperion Financial
Management (HFM) is the centralized, scalable, financial
management and reporting solution. HFM users can unify their.
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38. financial information (actuals, budgets, forecasts, and statistics) in a
single Web-based application. It best suits for the financial managers the
ability to rapidly consolidate and report financial results, meet global
regulatory requirements, reduction of the cost of compliance and deliver
confidence in the numbers.
 HYPERION DATA RELATIONSHIP MANAGEMENT:
Oracle Hyperion Data Relationship Management (DRM) is the
hierarchy management tool. It gathers all the data from disparate sources,
allowing you to apply one set of rules and processes so that you are
working with a complete, accurate, and consistent set of data. It is
enterprise manage operational and analytical master data. It provides
enterprises with a solution to build consistency within the master data
assets despite endless changes within the underlying transactional and
analytical systems.
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39.  HYPERION ESSBASE: Oracle Hyperion Essbase is widely
considered as the industry leading multi-dimensional online analytical
processing (OLAP) server provides a rich environment for effectively
developing custom analytic and enterprise performance management
applications. It is the multidimensional database software that is
optimized for analysis, planning, and management reporting
applications. It uniquely blends an innovative technical design with an
open, client-server architecture.
MICROSTRATEGY: Micro Strategy is an enterprise business
intelligence (BI) application software vendor. It provides integrated
reporting, analysis, and monitoring the software that enables companies
to analyze the data stored across their enterprise to make better business
decisions. This platform supports interactive dashboards, highly
formatted reports, scorecards, ad hoc query, thresholds and alerts, and
automated report distribution.
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40. AB INITIO: Ab Initio is works with the client-server model. It is a fourth generation
data analysis, data manipulation, batch processing graphical user interface (GUI)-based
parallel processing product which is commonly used to extract, transform, and load
(ETL) data.
DATA STAGE: Data stage is an ETL tool and it is part of the IBM Information
Platforms Solutions suite and IBM Info Sphere. It uses a graphical notation to construct
data integration solutions and is available in different versions such as the Server
Edition, Enterprise Edition, and the MVS Edition. It is capable of integrating data on
demand across multiple and high volumes of data sources and target applications using
a high performance parallel framework.
 COGNOS: Cognos is a developer of Business Intelligence and Performance
Management software Solutions provider, developed by IBM. It is designed for the
Business users who have no technical Knowledge to extract corporate data, analyze it
and assemble reports. This software is currently used to help businesses gain a better
understanding of their financial performance strengths and weaknesses as well as help
set targets necessary to achieve those goals.
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41. INFORMATICA: Informatica is one of the widely used ETL Tool
for extracting the source data and loading it into the target after
applying the required transformation. It provides a single enterprise
data integration platform to help organization access, transform, and
integrate data from a large variety of systems and deliver information
to other transactional systems.
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