Obviously, the amount of data produced by mankind has increased dramatically over the years. Starting from the beginning of time until 2003, the amount of data produced was not more than 5 billion gigabytes. However, as expected, the amount of data produced today is enormous. In 2011 alone, about 5 billion data were produced, which is equivalent to the amount of data produced for decades. As at 2013, about 5 billion gigabytes of data were produced in ten minutes. Should we expect the same amount of data today? No doubt, the amount of data produced today is far beyond what was produced in the previous years.

With the little explanation above, big data simply means a huge data. This includes a collection of huge datasets that cannot be processed using the conventional computing methodologies. In fact, big data is a subject on its own, and it involves many tools, framework, and techniques.

What are the sources of big data?

The sources of big data include all the different devices and applications. Highlighted below are some of the major sources of big data:
Search engine data – everyone knows that search engine collect a huge amount of data from the web every second. All the data collected from the search engine also contribute to big data.
Social media data – the billions of data that is being generated on social media also contribute to the big data.
Stock exchange data – the financial market holds a lot of information about buying and selling. This also contributes to big data.
Black box data – the information collected by the black boxes in airplanes, helicopters, and jets also contribute to big data.Other sources of big data include Power Grid Data, Transport Data, and so on.

What is Hadoop?

Hadoop simply refers to the open-source software used for storing data and running applications on different hardware. Hadoop is a viable solution for storing all kinds of data. It also has the capacity to process unlimited tasks at the same time.
The benefits of Hadoop
Definitely, a device that is capable of storing unlimited data, and processing multiple tasks at the same time must be loaded with plenty advantages. Some of the notable benefits of Hadoop are discussed in the subsequent paragraphs.
Storage capacity – one of the major reasons why companies turn to Hadoop is due to its unlimited storage capacity. With the rate at which data is being produced, one need to look for a reliable storage device that can accommodate as much as possible.
Flexibility – Hadoop makes it possible for companies to store data without thinking about the processing. You can store all kinds of data and decide how to use it later. This a huge advantage over the traditional relational databases.
Low cost – Hadoop is a free open-source software.
Computing power – No doubt, Hadoop is one of the most powerful data processing devices available today. Its numerous computing notes make it possible to process huge without issues.
Fault tolerance – Hadoop has the capacity to redirect jobs to another node if one goes down. This capacity makes it possible to continue operation even if one or more nodes are faulty.
Scalability – You have the capacity to grow your device by adding more nodes.Components of Hadoop
Presently, there are four core modules in the basic framework from the Apache foundation. The modules are:
MapReduce - MapReduce is a software programming model that is capable of processing large datasets in parallel.
Hadoop Distributed File System (HDFS) - is a Java-based file system that provides reliable and scalable data storage across multiple machines.
YARN – is an acronym for Yet Another Resource Negotiator. It is a framework for scheduling and handling requests from distributed applications.
Hadoop common – is the utilities and libraries used by other Hadoop modules.
There are some other notable software components that can run alongside Hadoop. Some of them are listed below:
Pig – helps to manipulate data stored in the HDFS. It also provides a mean for data extractions, loading and transformations.
HBase – is a distributed database that operates on top of Hadoop.
Spark – is a cluster computing software with in-memory analytics.
Hive – is a data warehouse similar to SQL query, which presents data in a table format.

When a buѕіnеѕѕ gеtѕ correct dаtа or information оn rіght time, іt іѕ tеrmеd аѕ buѕіnеѕѕ іntеllіgеnсе. Dереndеnсе on іnfоrmаtіоn аnd dаtа сrеаtеѕ a need оf software whісh enables thе uѕеr to gаthеr, ѕоrtіng and fіnаlіzіng аll dаtа fоr uѕе іn buѕіnеѕѕ. Thіѕ tуре оf ѕоftwаrе рlауѕ аn important rоlе іn mаnаgіng іnfоrmаtіоn related tо services, рrоduсtѕ, сlіеntѕ еtс. It hеlрѕ tо analyse clients ѕреndіng аnd bеhаvіоur раttеrnѕ, рrеfеrеnсеѕ, market conditions and сараbіlіtіеѕ оf a company, changing trеndѕ іn mаrkеt ѕhаrе.

Bу оrgаnіzіng аnd аrrаngіng, buѕіnеѕѕ іntеllіgеnсе tооlѕ соnvеrt dаtа іn an easy tо understand format. Cоmраnіеѕ аrе able tо gеt a vіеw оf іtѕ реrfоrmаnсеѕ аѕ thеѕе рrоgrаmѕ саn produce rероrtѕ аnd ѕрrеаdѕhееtѕ. Thеrе are multірlе bеnеfіtѕ оf uѕіng Qlikview buѕіnеѕѕ іntеllіgеnсе software ѕuсh as:
Thе ѕоftwаrе рrеvеntѕ conducting business оf a company оn basis of guеѕѕwоrk, аddіng a hіgh lеvеl оf surety аnd сеrtаіntу.

It рrоvіdеѕ іmmеdіаtе rеѕроnѕе to metric аnd queries report. Qlikview gеnеrаtеѕ information ԛuісklу in соmраrіѕоn tо оthеr tуреѕ оf ѕоftwаrеѕ. Thіѕ results in ѕаvіng a lot оf tіmе оf company employees.

It іѕ not an easy tаѕk tо kеер a trасk of еvеrу material lоѕѕ, fоr businesses wіth hugе іnvеntоrу аnd ѕtосkѕ. Here, Qlikview nоt оnlу prevents mаtеrіаl lоѕѕ but also kеерѕ trасk of thе whоlе inventory.

Yоu would understand thе аррrоасh and needs оf сlіеntѕ bеttеr with detailed ѕtаtіѕtісѕ аnd rероrtѕ. All іnfоrmаtіоn rеlаtеd tо сuѕtоmеrѕ саn bе used еffесtіvеlу in future.
Qlіkvіеw оffеrѕ еxсеllеnt trеndѕ, fоrесаѕt аnd іnduѕtrу рrоjесtіоnѕ whісh rеѕultѕ іn improving conversions and enquiries.

It makes a hugе dіffеrеnсе tо a business in tеrmѕ of turnоvеr, рrоfіtѕ and реrfоrmаnсе of employees. It ѕаvеѕ tіmе, mоnеу and еffоrt which саn be utіlіzеd in оthеr аrеаѕ of a company. Evеrу соmраnу ѕhоuld соnѕіdеr Qlіkvіеw business intelligence ѕоftwаrе аѕ it оffеrѕ high return on іnvеѕtmеnt (ROI). Thіѕ software provides numеrоuѕ аdvаntаgеѕ оn which you саn саріtаlіѕе аnd іt іѕ аdvіѕаblе to dіѕсuѕѕ hоw tо implement іt аt wоrkрlасе. It is commonly used іn fоrm оf executive dаѕhbоаrdѕ аnd ѕсоrесаrdѕ which еnаblеѕ the mаnаgеmеnt tо сhесk іmроrtаnt mеаѕurеmеntѕ аnd реrfоrmаnсе іndісаtоrѕ within seconds. On thе other hаnd, traditional rероrtѕ hаvе tо bе drаwn up еасh tіmе fоr various аѕѕеѕѕmеntѕ, соnѕumіng thе valuable time.

Qlikview іѕ соnѕіdеrеd a ѕtrаtеgіс tооl whісh hеlрѕ mаnаgеmеnt оf a company tо view іnfоrmаtіоn and dаtа frоm different perspectives, еvеn thе ѕmаllеѕt dеtаіlѕ. Enѕurе that уоu muѕt knоw how tо uѕе іt рrореrlу аnd effectively. Bу doing ѕо, іt саn be utіlіѕеd in thе best роѕѕіblе wау and helping уоu tо get mоrе frоm thе software.

Business іntеllіgеnсе software іѕ оftеn termed аѕ backbone of a соmраnу by a numbеr оf еxреrtѕ. Qlіkvіеw саn аlѕо be used іn рrоduсt reviews, ѕаlеѕ fоrесаѕtѕ, еmрlоуее trаіnіng еtс. It соnduсtѕ vаrіоuѕ tаѕkѕ іmmеdіаtеlу, enabling thе еmрlоуееѕ tо concentrate оn оthеr work. Thіѕ ultіmаtеlу leads to development and grоwth of a соmраnу. Hіgh flexibility іѕ оffеrеd by іtѕ vіѕuаl dеѕіgn еlеmеntѕ аѕ it brіngѕ numеrоuѕ vіеwроіntѕ into one. Thеѕе еxсеllеnt fеаturеѕ mаkе Qlіkvіеw business іntеllіgеnсе software a preferred сhоісе fоr faster іmрlеmеntаtіоn оf futurе рlаnѕ аnd оvеrаll growth оf a соmраnу.
The comparison of SAP Business Object, Qlikview and Tableau provides you a way to choose the best among these three.

Here are the few reasons which make the SAP Business Object best.

Integrated Security

Security is the major thing to consider in the Business Intelligence. SAP BO implements security by dynamically restricting the data which is returned by the query. It also provides built-in universe security to restrict the access for the particular object.

Maintenance/change management

It is the important advantage of SAP BO. In case the data model of any of upstream system changes, we can modify the universe to reflect the changes without changing the downstream reports or analytics.


Here we list few things which show why the Qlikview is the best.

Single application platform

As all the Organization's BI need, Qlikview is a single application platform. It provides all the Demos and proof of concepts. All the insights needed by the clients will be available within a minute.

Training is simple

Training is important for using any software. Qlikview is the best tool and fastest process. Training in Qlikview is very simple and takes the simplest tool to use. Thus, training is very simple.

Low development cost

Cost is another important factor while choosing the software. In considering the Qlikview, it is the best software for cost which is half the amount of all other traditional BI software. Thus, the software comes with less cost compared to all the other BI software.


It is the best software for Business Intelligence for the following things.

Free Desktop Tableau Reader

Tableau provides the free desktop Tableau Reader which makes the server-less distribution of Data Visualizations with the full Desktop experience and also an ultimate size of datasets that is 64 built-in memory.


It is done over years and keeping out space with other Data Visualization vendors. Even with the super-successful Qlikview. This software has the widest and more support of Data Sources compared with their competition.
It is beautiful and fast. That is we can decide In-memory analytics or live connections.


Considering the negative parts of the software, we can get a conclusion which is best among the three tools.

SAP BO has disadvantages like

Quite Expensive
Requires a Number of Servers
Not Business User-Friendly.

QLIKVIEW has disadvantages like

Difficult to integrate with GIS data
Struggles for multidimensional support
Tableau and OLAP have better excel than Qlikview.

TABLEAU has disadvantages like

Hard to integrate with social media
No predictive analytical capability
Difficult to customize and integrate with other apps


Since all the 3 software has the negative side, each software is best at their unique task.
If you are looking for "safe-choice", running complex queries, getting a highly scalable solution, you can choose Business object.
If you are looking to build beautiful, graphical analysis and dashboards, you can afford Tableau, which is superior at refreshable analysis.
To implement in less time Qlikview is the best. Compared to Tableau, Qlikview is the best in this case. Also, it has larger partner network than all alternatives.
What is SAP?

SAP stands for Systems, Applications and Products in data processing. It creates a common centralized database for all the applications running in an organization. They released three software which are used for the organization growth.

SAP R/1 - It is the software for "Financial Accounting System"

SAP R/2 - It is mainframe-based business application software. It was very popular especially with the large multinational

European companies who required soft-real-time business applications, with multi-currency and multi-language capabilities built in.

SAP R/3 - It is distributed client-server with the client-server version of the software.

R-real time data processing. 3-three tier.

What is Management BI (MS BI)?

This is the powerful suite which is composed of tools. This tool helps in providing the best solution for business
Intelligence and Data Mining Queries. The Visual studio along with the SQL Server is used in this tool. It is useful for the better decision-making process in our organization. It also offers different tools for different processes which are required in Business Intelligence (BI) solutions.

There are 3 categories in MS BI:

SSIS – SQL Server Integration Services – Integration tool.

SSAS – SQL Server Analytical Services -Analysis tool.

SSRS – SQL Server Reporting Services – Reporting tool.

Carrier In SAP

SAP as an ERP tool it provides various types of job opportunities and carriers. Here we one by one.

SAP Basis

The SAP system administrator is called SAP Basis consultant, who install and maintain SAP hardware. The other kind of SAP

Basis consultant is obtained by certification courses offered by SAP.


It is the SAP technical consultant. These are the group of people who are in charge of writing the software in a language called as "ABAP". It is a programming language and can be easily picked up to shape the carrier. Note that it is a very simple programming language. We should have a good knowledge in programming to move into SAP ABAP.

SAP Functional Consultant

As the name described, it is for the functional consultant. It is used for implementing of business processes in SAP and maps them using the SAP software. e who use this should be able to know about the system and knowledge for configuring the business process in SAP.

Microsoft BI and SAP

An organization can derive new business insights with the help of Microsoft Business Intelligence. It provides data management and accessing all types of data, across structured and unstructured data sources.

It connects with world's data through a global marketplace for curate data and services authored by Microsoft and 3rd parties. Microsoft provides complete BI solutions through Excel and office 365 which provides data discovery, analysis, and visualization capabilities to identify deeper business insights from data.

Scenarios for SAP

The "End users" can directly connect to SAP to discover business data using Power Query for Excel and to analyze data using power pivot or pivot tables in Excel.

In a data warehouse scenario, corporate IT can use SQL Server Integration Services (SSIS) as we mentioned previously to extract, transform and load data into an SQL Server database.
In a more traditional scenario of operational reporting, corporate IT can use SQL Server Reporting Services (SSRS) to directly connect to data in SAP. These scenarios and connectivity solutions are useful for Discover, Analyze, Integrate, and Report categories from above. To evaluate the different solutions, consider important factors such as the location and type of your SAP data.
Best 10 Strategy For Success Data Migration

How to ensure a successful migration project

Data Migration is the movement of data between storage types, formats, or software systems and should be a key consideration for any system implementation, upgrade or consolidation. Since it is a complex process and it has many features to be consider. Here there are top 10 tips for data migration to be success which also give you a way for proper start.

Initial Process

The main part of data migration is "Plan" of a data migration project. This must be done before the process begin. It performs reducing developer work, saves money,and we can know the full scope of the project.

Using an experienced partner

To make a data migration successful we must have an experienced partner where business operation and efficiency can be improved. If we don't have an experienced trainer it leads you to waste time, money and inconvenience.


We should get our resource right both internally and externally . The areas should be aware of business with their input needed as like finance, marketing and senior management.

Involving Experts At Early Stage

Once the plan is made, we probably start with the work, note that data migration is a very big deal so the time and efforts should be put for creating an initial belief and also agreeing the budget. This in turn ensures the best possible management, outcome it produce.

Future Proof Your System

The requirements change radically in the future. That is, the system which we using now will not be used in future. So the flexibility for aggregating with different scenarios should be done. For example, daily batch to multiple-day micro batch integration with message queues or real-time change-data capture for continuous transformation and update.

Budget Correctly

As per the other business initiatives , we have to justify the ROI, that is Return On Investment. There should no exception in Data migration.

Clean Your Data And Keep It Clean

Data can be cleaned in this to save time and money. Since it is an ideal opportunity to conduct data cleansing. We can use the data protocol which are relevant to keep it clean.


Data migration scalability should be established which is across the lifetime of its usage. This is useful for knowing the scale of how the volume is changed now and in future. It shows the difference between these two.

Use Data Migration As A Reason For Change

It shows what a business actually needs. It includes steady business rules without historic work arounds. Since it is a new system, so it will be different. Hence, we must train staff and they should utilise it correctly.

Understand Your Data

We must provide a correct data. With the clear understanding of the purpose of our data. We must also ensure the relevant data are captured from the outset and also the irrelevant data are not transformed.

In very small companies, spreadsheets and adhoc tools are usually enough to keep track of the data needed for decision making. But as a company grows, tracking the increasing data loads can be difficult. And this difficulty makes it harder to derive useful insights from what you have.
Business Intelligence provides a neat solution to these problems. Unfortunately, the term Business Intelligence isn’t always well understood, and its potential uses even less so.

Here at BSBI we like to make sure your business is prepared, so we’ve put together a short primer on Business Intelligence (or BI).

What is Business Intelligence?

Business Intelligence is an umbrella term for various data analysis processes. It is aimed at improving business performance by allowing end users to make more informed decisions.

The BI process is technology driven, and encompasses a number of tools and applications, along with various methodologies to collect data from both internal and external sources. This data is prepared for analysis, before queries are developed and run based on the data.

The results are used to create reports, dashboards and visualisations that make the analytical results available to decision makers and other workers.

Initially, BI was used almost exclusively by large businesses and corporations. This was thanks largely to a high cost that made it impractical for smaller businesses. But as this industry has grown, new technologies and methods have reduced costs, making it practical for smaller companies.
Why Should I Use Business Intelligence?

The growth of BI has made it far easier and cheaper for small and medium businesses to get the same benefits available to large corporations.

​The benefits offered by BI are many and diverse, including:

  • The ability to share information efficiently and effectively throughout the company, giving everyone from top management to teams access to up-to-date information.
  • Empower your employees with access to analytical data that allows them to be more effective.
  • Deliver meaningful analysis and reporting, in order to track and gain a better understanding of your company’s performance.
  • Finally, the decision to adopt BI for your business gives you a scalable solution, that is flexible enough to adapt and grow with your company.