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                                            source: parthiansystems.com

                                           

 

What business decisions you make determines the fate of your business. It’s makes enough sense to say that decision making for a business no longer have a reliance only on gut-feeling, past experiences etc since we are now living in a digital-enriched world wherein a huge piles of data is present to make informed decisions. According to Chris Jordan, President, iOLAP, Inc, “Success of any business has a lot to do with unlocking the value of data and convert it into trusted information for critical decision making.”

 

Since massive amount of data from disparate sources exists in structured, semi-structured and unstructured form,  data integration plays an imperative role to turn it into trusted information.  

Why Data Integration Holds Significant Importance for Businesses

 

Data integration helps in converting data from different sources into a structured set of information to make it usable for end-users without complex coding. It allows chief managers to gain insight into customer’s behavior and devise effective marketing strategies.

Benefits of Data Integration

 

  • Creates value for your business
  • Improves business intelligence
  • Allows timely access to business data
  • Allows integration of diverse businesses and their processes through shared data
  • Enables chief managers to meet business goals
  • Helps in creating valuable database
  • High ROI                                      Data_Integration_Acceleration.png

                                                       source: superdevelop.com

                                   

 

Data lake is a term referred to a gigantic amount of data which has not been transformed into meaningful information yet, thus brings no benefit for the holder. However, data integration tools, like Pentaho, help convert it into streamlined data refinery with ease to enable chief managers to make informed decisions. Data integration software hold the key for business managers to make predictions, improve business operations and offer products to customer that fit in their interest areas.

 

Data integration tools enable ETL (extraction-transform-load) to process big data sources in familiar ways. Moreover, data integration tools give you access to their big library of pre-built components, which make it easier for you transform data from a full spectrum of sources. Sub-areas of data integration comprise of data warehousing, data migration, enterprise application and master data management.

Below is the list of 10 popular data integration tools  

 

  • Astera

  • IBM’s Agile Data Integration
  • Pentaho
  • SAP
  • Jitterbit
  • Oracle Data Integration
  • Informatica
  • HVR Software
  • Information Builders
  • Adeptia

 

Data integration also gives rise to Predictive personalization, which is the new mantra for businesses to increase their sales numbers and keep on adding new customers to the list of loyal customers. It helps you create a good brand value in the market as invokes a feeling among customers that you pay heed to their individual preferences and deliver tailor-made solutions. CRMs, social media, websites, news feeds etc. generate a lot of data about customers, but without data integration, it’s not possible to make sense of it and figure out what sort of personalized experience your prospective customers are demanding from you. Data integration tools do not cost much and take less time to provide you vital information to transform your business into a big success.

 

Exploring highly interactive and high-performance information via data integration opens gates to take informed business decisions and take your business to new heights.

 

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                                                         source: sites.ndtv.com

 

Real-time data means information that is available for use immediately after collection. However, it doesn’t mean that the information will be available to an end-user with microseconds after collection. To best understanding, we can say real-time data is fast data that is not meant to store or kept back for later use in future, but to keep it in motion to give rise to immediate response and action.  

 

For a long time now, use of real-time data has been restricted to navigation and tracking only. But the picture is changing now with the advent of new technologies being capable of delivering up-to-the minute information to mobile devices through convenience apps.

How real-time data could help businesses grow?

By deploying real-time data analytical tools, such as Woopra, Clicky and Mixpanel, businesses can analyze huge data sets of fresh information in a matter of seconds or a few minutes, unlike hours and days previously. Real-time data comprises what people are purchasing online, sharing, posting, clicking, reading and many more.

 

Making right sense of such information opens doors for businesses of all sizes to understand customer behavior and target them with products they would actually like to make a purchase for. Besides, assessment of customer interaction in real time enables to improve customer service and improve brand value of your products and services. Real-time data improves your business-decision making ability, which in turn increases profitability and takes your business to new heights.

 

To make real-time operation possible in reality, many businesses have already started asking developers to design their apps that support real-time data, business intelligence(BI), analytical tools and data management.

Factors to be considered while designing real-time data apps are as follows:

 

  • Customization: Adding a personal touch in an app makes it easier to understand consumer preferences

  • Awareness: Capability to figure out where a user is and what he/she is looking at

  • Speed and interaction: Ability to respond in real-time and take quick actions

 

All these benefits can be availed if businesses can manage to transcend limitations of cost, difficulties in designing real-time systems, data-management infrastructure, lack of staffing etc. Besides, it would really become possible to make software-enabled automated decisions without having to rely on human beings for the same.  

Let’s now talk about applications of real-time data

 

                                            source: www.slideshare.net

 

Retail companies: Real-time data enables a retail company to decide the right product it needs to target a potential customer based on information about what interests and behavior he/she has recently showed on social media and shopping sites.

 

Retail companies can also figure out on which day traffic is high on their sites and can increase their sales by quickly responding through email campaigns. It’s also possible to monitor social media campaigns in real time and figure out which posts and tweets were liked by your target audience and attracted them to visit your site and make purchases. With online campaigns, it’s very important to act on feedback in real time to improve your products and services, which leads to rise in sales and adds value to your brand.

 

Sites are subject to downtime due to updates or maintenance requirements. Via real-time data analytics tools, you can figure out when the traffic is low and high on your website. As a result, you can choose right time of a day to repair or update your site, so that users face minimal disruption.

 

Banking: Real-time data also has a role to play in banking sector as many banks are looking forward to introduce the concept of small mobile banking. This will allow a customer who has recently inquired for a financing a new property to automatically receive alerts from the bank about its mortgage offer, thereby increasing chances of conversion by many folds.  

 

Insurance: GPS coordinates could help an auto insurance company to get real-time information about an accident a customer has had. Thus, the insurance company, without wasting anytime, can call a towing service provider to take the customer’s car to a repair shop and arrange the nearest rental car service.

 

Trading: In trading, it becomes paramount to evaluate real-time impacts on trades in order to maintain balance of portfolio metrics and bring down equity-risk exposure. Real-time data is imperative for risk assessment in a trading.

 

E-commerce sites can enjoy skyrocketing sales by analyzing real-time data, which opens gates to take interaction to an all new level. With real-time data, you can immediately become aware of a blog or any post on the internet that has mentioned your business. You may like to comment on every post that has the name of your business mentioned and is bringing a good traffic on your website. This will help your business increase interaction with more and more people.

 

You will also be able to figure out the place a user has come from on your website, how long he stayed on your site, which page he spent the most time on and what product he clicked the most at. You can tag the customer from your database to know when he/she comes next time on your website and based on the vital information at your disposal, you can launch a browser chat session. A chat session usually has a huge impact on a customer and drives him/her to buy a product he/she had previously showed interest in on your website.  

 

Real-time data has many virtues for businesses to give their rivals a tough competition and increase their bottom line to a great extent. I hope this blog has served the purpose it was intended for.



 

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Apache Hadoop is an open-source, java-based programming framework meant to process large data sets in a distributed environment. Hadoop has created a lot of Big Data hype in digital arena, with many viewing it as the best platform for handling high volume data infrastructures. Sorting of Big Data offers great opportunities to companies to increase their ROI by targeting or retargeting right customers. They can figure out what customers do not like about their products or services, therefore can go for a quick fix and improve their brand value. Moreover, they can provide personalized experiences and grow their list of loyal customers.

Big Data has a lot of virtues, but many companies are wary of Big Data Hadoop implementation. In this blog, I have discussed major constraints that make Hadoop inappropriate for Big Data

But first have a quick look why Hadoop is touted as a standard platform for Big Data

  • High data storage and processing speed

  • Scalability

  • Flexibility

  • Free open-source framework

  • Gives protection to data and application processing against hardware failure

  • High computing power

Now let’s talk about negative points of Big Data Hadoop implementation

  • Not suitable for small data: Big Data benefits are not restricted only to large organizations since small businesses also have a treasure trove of opportunities to skyrocket their sales by using it. But Hadoop has a high capacity design and is not fit for small data. Hadoop Distributed File System(HDFS) is incapable of reading small files randomly, thereby making Hadoop incompatibile with small data. This is a big setback factor in Big Data Hadoop implementation.  

  • Security and Vulnerability: Hadoop’s security model is not well-designed for complex applications and lacks encryption feature for storing and networking. Owing to these inadequacies, data sets are always at risk of being compromised. No organization wants its vital data to be leaked and become available to its competitors to pre-empt business strategies. Hadoop is also not secured against data breach as its framework is written in Java, which is vulnerable to cyber attacks. Many cases of cyber criminals having exploited Java in the past make Hadoop not to be completely trusted as far as data security is concerned.

  • Stability Issues:Being an open-source platform, Hadoop is surrounded by stability issues. Many developers have developed it and iterations are being continuously made, but its stability always remains one of top concerns. It’s very important for a company to ensure that they have put into use the latest stable version of Hadoop. Another way is to go for a third-party vendor who takes the responsibility of running it and fixing stability issues. But still, stability issues always make organizations uncertain over using Hadoop for processing of important big data sets.

  • Problems with Pig and Hive: Pig does not entertain Hive UDFs and Hive does the same to Pig too. Both can’t be used in one another. Pig script also does not offer any help whenever any requirement arises for extra functionality in Hive. If you want to access Hive tables in Pig, you need to use HCatalog.

  • Repository Functionality: Installation from Hadoop repository is not an easy task. It often takes a lot of effort because of mismanagement and improper act. Another flaw with Hadoop repository is that it does not keep a check on compatibility while installing any new application. As a result, compatibility issues emerge at later stages and cause annoyance.


There are other problems with Hadoop as well, like unrefined documentation, problems with Ambari installation and Oozie not behaving well when not properly distributed. But I have discussed the top five major concerns with Big Data Hadoop implementation.

I hope this blog helps you understand top challenges Hadoop is facing to become the best framework for Big Data. If you want to add more about what Hadoop needs to improve to become a best fit for big data, please share your views in the comment box below.
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Content Management System (CMS) makes website management a much easier task, freeing you from the dependence on a highly skilled developer to update or publish new content. CMS provides the much-needed power to a website to effectively manage all the content, especially on a corporate website. In simple words, CMS could be described as significant advancement in technology to store and manage website pages, blog posts, images, videos and everything related to content on your website without facing the hassles of using HTML codes.

Benefits of CMS system are:

  • Boosts your SEO efforts.

  • Gives you control of your website and enhances marketing initiatives.

  • Improves your business communication.

  • You can control the flow and visibility of your content.

  • You can easily search, retrieve and reuse content to come up with new products in quick time.

  • Non-technical staff can easily perform the task of making updates, provided some training is provided to them.


There are indeed so many benefits of CMS, but it’s not easy to determine the kind of CMS you need for your website. Well, you don’t even need to think a lot about the CMS that suits your business, since a web developer is the best person to decide which CMS is apt for your website, based on size of your business, functionality requirement, editor, customization need, etc.

Consider this example to understand the importance of leaving the CMS choice to a web developer - A person doesn’t have a good knowledge of CMS systems, and decides to buy an enterprise-level system, costing him a hefty amount, but later realizes that even a free blogging tool would have fulfilled the requirements he had for his website. His money wouldn’t have gone waste, had he left the CMS choice to a web developer who actually understands precise requirements for a website and offers the best CMS type to help your business thrive.

Wordpress, Drupal, Magento and Joomla are some popular CMS systems. A web developer knows which among the gamut of CMS systems is a perfect fit for your website, thus saves a lot of money for you that you may waste for buying plugins or features you have no requirement for.


A web developer knows very well which CMS systems manage and handle images in proper manner to ensure accessibility and great usability. Your CMS must offer basic image editing tools, like cropping, resizing and rotating. You can also get user feedback if your CMS has the required functionality. Other important factors needed to be taken under consideration are licensing, support, accessibility, security, training etc. Who can tell you the best about these than a web developer himself.


A web developer will also guide you to go for a CMS that is fit for all screen sizes. It’s no more a hidden secret that smartphones, tablets and phablets are outpacing PCs and laptops, which is why it becomes important to go for a kind of CMS that works flawlessly with multiple devices.

A web developer analyzes your website goal, expected number of visitors, extent of flexibility your website requires, scalability need and ease for overall management, therefore helps you choose the best CMS system for your website. I hope this blog is clear in its context how important a web developer is to help you decide the CMS system you need for your website.

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Cloud computing, without a doubt, has become the numero uno choice for many businesses. Besides bringing down IT costs, it provides the much-needed agility to businesses, paves the way for new business models and scalability. That said, one still can’t call it a paragon of virtue. The major concern here is the risk of data exposure to unwanted users especially since the data is present in virtual machines. And how about your cloud service provider having easy access to your vital business information. Questions like these and the following factors still make businesses wary of cloud computing:

  • Multiple tenants share the same infrastructure available over the cloud

  • No regulations for cloud service providers to clear disk space and ensure that existing data is not compromised

  • No way out to keep a check on IT security intelligence and lack of risk management

  • Chances of data exposure to a person who does not even work for the respective company

  • Problems related to data mobility and legal issues

So, that brings us to the next set of questions:

  • How businesses opting for cloud computing can ensure that their data is not a subject to security breach?

  • Or whether their business information is safe if they decide to move to some other cloud service provider?

You could deploy a three-pronged strategy to prevent someone uncalled-for from accessing your data on the cloud.

  • The first step towards strengthening data security is data lockdown. It entails encryption of data which makes it impossible to read in simple text form. There is a huge consensus among technology experts that encryption of data goes a long way in ensuring protection of data on the cloud. So, never trivialize the importance of implementing data encryption empowered by a strong key management solution. It’s recommended to conduct audit of the entire encryption and key management solution. The first step also involves strong key management system to refrain any unauthorized person from accessing confidential business information.

  • Next step requires ensuring that only authorized users have access to data on the cloud.

  • The third is setting up security intelligence to detect security-breach risks well in time to mitigate them.

Apart from these, before adopting new technologies like cloud computing and virtualization, one must make it 100% sure to review security policies and procedures to figure out how cloud providers are going to ensure safety of your data.

You can also improve the protection of applications on the cloud by designing them in a manner that no one comes to know if they are running on cloud or your own servers. Web application firewalls can help in keeping the risk of outside attacks at bay.



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In this article, we will try to understand in simplest possible way; What is cloud? What are different cloud offerings? How does it work for you?

 

Cloud computing constitutes a broad range of services. Web is the common thread between all of these. So something sitting on your desktop and able to operate on its own is not a cloud service.

 

Key characteristics of a cloud based solution are:

 

  • It is available on demand.
  • It can be accessed through standard platforms like desktop, laptop, mobile.
  • It can be used by multiple people.
  • People can share resources.
  • It can easily handle increase/decrease of user base.
  • Solution can scale up/down easily.
  • Billing for the service can be easily measured.

 

There are different types of cloud computing services commonly classified as Software as a Service (SaaS), Platform as a Service (PaaS) and Infrastructure as a Service (IaaS). In a very simplistic explanation:

 

 

  • SaaS – is software delivered over web.
  • PaaS – is platform delivered over web, for the creation of the software.
  • IaaS – is infrastructure (hardware/software) delivered over web as an on demand leased service.

 

 

Let’s take a deeper look at these services.

 

Software as a Service (SaaS)

 

Characteristics:

 

  • It is available through web either as a paid/free service.
  • It is centrally managed and delivered to all.
  • Software users should not require updating software or applying patches.
  • Exposes APIs (Application Programming Interfaces) to allow integration between different modules.
 
Where it works?  
 
  • Generic solutions which are used by a variety of users.
  • Solutions that need to be used over multiple channels (web, mobile), locations (home, office, on the way) 
 
Where it doesn't work? 
 
  • Data sensitive applications with legal limitations.
  • Solutions are used by a defined set of users (employees of a specific company)
 
Example – Salesforce.com is the best example of a software delivered as a Service. 
 

Platform as a Service (PaaS) 

 

Characteristics:

 

  • Provides services to help in development of software products.
  • Provides services and solutions to develop, test, deploy, host, manage software applications.
  • Allows for multiple developers can work on the platform in parallel.
  • Provides capability for failover, scalability, load balancing within the platform.
  • Supports standard API, third party, DB integration protocols.
  • Provides built in support for features such as subscription management, billing for the applications built using the platform.  
 
Where it works? 
 
  • All the all technical stack requirements are met by platform offerings.
  • Automation is paramount in testing, build, release. 
 
Where it doesn't work?   
 
  • Application needs to be portable from hosting perspective.
  • Proprietary languages, technologies, practices would be required.  
 
Example – Force.com is the best example of a platform delivered as a Service. Another very popular example is Google App Engine which provides complete platform to enable development of software applications. If your software technical requirements can be met completely by such platforms, PaaS is for you. 
 
Infrastructure as a Service (IaaS)
 
Characteristics:   
 
  • Resources (hardware and software) are available as service.
  • Allows for scaling up/down dynamically.
  • Have billing/pricing based on usage.
  • Provides capability for failover, scalability, load balancing within the platform.
  • Resources can be shared between different users.  
 
Where it works?  
 
  • Requirements can change dynamically; may go up/down.
  • For people/companies who do not want to invest (both money and labour) too much on hardware.
  • For people who want to try something temporarily.  
 
Where it doesn't work?  
 
  • Cases in which there are too much regulatory, security, legal factors are involved related to storage. 
 
Example – Amazon web services, Rackspace are some of the leaders in this space. People and organizations that want to move to Cloud computing should identify their needs and based on that find the suitable service offering and model that suits best for their business needs. Cloud offers a lot; not everything may be useful for everybody.  
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There are many Online Project Management products available in the market. All these tools provide different set of features and target various industries.


These tools range from simple task management and list management features like those provided by Trello, which can be applied across a broad range of industries but have limited features. On the other hand, there are products like Pivotal Tracker which provide project management features focused on Agile software development following a rigid process.


FindNerd provides a project management platform which bridges the gap by providing a rich set of features while still allowing the end-user to have the flexibility of using them as per their need.

Below is a comparison of the main features of FindNerd, Trello and Pivotal Tracker:

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Trello

Pivotal Tracker

Project Management

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Traditional Project Management

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Agile Project Management

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Users Stories

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Product Backlog and User stories prioritization

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Issue Tracking

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Task Management

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Scheduling

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Time Tracking

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Resource Assignment

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Task Alerts

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Group Tasks – Milestones, Sprint

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Task History

Budgeting and Expenses

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Forecast Budgets

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Manage Expenses

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Set Hourly Rates

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Track Project Hours

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Track Staff Hours

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Invoice and payment tracking

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Collaboration

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Document Management

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Forums

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Online Messages

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Chat

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Activity updates

Email notifications

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Online Meeting Tool

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Resource Management

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Manage Resources & their Skills

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Search Resource by skills

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Resource Planning

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