Leveraging Sessions in ASP.Net Development

HTTP is a stateless protocol which means that whenever a new request is released from the client to the server, the state information of the previous request is lost.

You can store and handle state in several ways in asp.net development. Session is among those objects that will help you. Other than Session, Caching and Application objects are also available.

Is Java Important For Hadoop Developers?

Hadoop experts get frequent inquiries from people who want to know the importance of java to become a hadoop developer. Is it really necessary to learn java to become a big data hadoop developer?  

This question excites many developers who wish to be hadoop experts in the future. We will explain it and tell the answer of this question, which is not as simple as it seems.  

The future of hadoop is bright, evolving, and require ways to increase the skills and expertise to make developers more seasoned in their job. To get the insightful answer of this question, it is required to open the history pages of Hadoop.  

Hadoop is an Opensource platform of Apache, which is used to store and process huge data (orders of petabytes). This platform is intended in Java. Hadoop platform was originally created as a subproject of “Nutch”, which is an open source search engine. However, it was conceptualized and become the highest priority project of Apache.   

Understand Hadoop  

Hadoop is an answer to huge data processing challenges. It solves them with the conventional concept of distributed parallel processing, but the approach is new. Hadoop brings a framework to develop distributed applications instead of solving each problem.  

It takes away the challenges of processing and storing the big data in a distributed environment by developing fundamental components, i.e. MapReduce and HDFS.  

HDFS handles data storage. It is a distributed file system that stores any provided data file by splitting it into fixed size units known as “blocks”. Each block offers high availability and fault tolerance through replication of these blocks on distinct machines on the cluster.  

Even if it has all of these complexities, expert Hadoop developers can still avail simple file system abstraction and do not have to bother about how it stores and operates.  

It is not necessary to learn Java in order to process your data on Hadoop (only if you don’t want to become a commiter). Moreover, the programs in most important Hadoop deployments are predominantly designed in Pig or Hive instead of MapReduce.  

If you are already a data analyst, you will find no difficulty in migrating to Hadoop. If you are a programmer, you should know about Java or should know any of the streaming languages on Linux in order to code MapReduce programs.  

Experts are here to assist developers. Hadoop developers can feedback and offer suggestions regarding this post.

Exploring The Java Platform Through Best Java Jobs

With Indian companies emerging into best software development services and solutions companies, especially for outsourced projects and also the local ones, the need for IT professionals has gone up incredibly.

And with Java being one of the most crucial parts of software development, the demand for professionals with in-depth java knowledge is at peak.

Most Indian cities are now well-equipped with companies that house world class infrastructure to offer Web-enabled solutions and other office based technology, which have taken giant strides over the years, creating more space for increasing number of Java jobs in Ahmedabad, Rajkot and other such cities for IT professionals.

Aiming the dart at the right point

Gone are the days where job fairs had a greater weight when it comes to traditional job hiring. Today, through online platforms, finding a great job or even hiring a professional has become quite simple and easy.

Java, which is an evergreen software platform, always is open to producing more and more Java jobs in Rajkot, Ahmedabad and other Indian cities where there are a lot of IT professionals.

By choosing to pick up any of the Java jobs in Rajkot, Ahmedabad and work in an organization where there is more scope to work on multi-level projects, different frameworks and best practices of Java, Java professionals can grab excellent exposure, exclusive framework handling techniques and product designing, building and delivery strategies.

What to consider before looking for a Java job?

Before looking for a job, a Java professional has to pick up some important things like-
  • Learning to speak the Java professional language
  • Grasping the basic Java frameworks
  • Understanding the Java best practices
  • Interpreting critical Java issues and solutions
  • Analyzing some peculiar completed java projects
  • Formulating a methodology that best matches self-aptitudes
  • Preparing self to mingle with a group as Java is a team work
  • Staying open minded to learn new java techniques
  • Up to date with Java trends

Java jobs in India have become a great way of accelerating one’s self domain knowledge and growth. By initiating to understand new trends and thereby implementing strategies to bring them into reality, Java helps a professional to transform into an expert within no time.

Beat the blues and jump into the Java arena to explore the most wondrous side of Information technology that is extremely lucrative yet great!

Hadoop ETL As A Data Retrieval And Security Option

Since last few years, enterprises across private and public sectors have taken a strategic decision to leverage on big data. And the challenge to extract value from their big data is like other conventional problem of filtering business intelligence from transactional data. Enterprises take help of the process that is used to extract, transform and load data into warehouse for subsequent analysis. This process is also known as hadoop ETL.

Hadoop ETL

Big data analysis offers various significant benefits to the business. Major business analysts with global market and complex supply chain have vast insight into customer demand. They do it by analyzing data points collected from business transactions and market information. Moreover, the data required by the company is embedded in economic reports, news sites, discussion forums, social sites, wikis, tweets, blogs and transactions.

By analyzing all available data, decision-makers are able to assess competitive threats, strengthen supply chains, anticipate changes in client behavior, enhance the effectiveness of marketing campaigns and improve continuity of business.

Many of these benefits are not new to companies having mature processes for incorporating BI and analytics into their decision-making. The cost of technologies required to store and analyze big data has dropped because of open source software used by companies. Now, companies don’t have to focus on relevancy of data, but the way to extract the most value from all available data.

To ingest, store and process big data, companies need a cost-effective infrastructure through which they can easily scale with data amount and scope of analysis. The traditional ETL process helps companies in extracting data from multiple sources, and then cleanses, formats, and loads data into warehouse to perform analysis.

Core component of Apache hadoop is an open source distributed software platform used for storing and processing data. New Hadoop update brings loads of features for hadoop operators and developers. Let’s learn about these features in detail-

For hadoop operators, it brings-
  •     Smart configuration
  •     YARN capacity scheduler
  •     Customized dashboards
For hadoop developers, it brings-
  •     Fast and simple SQL Editor for Hive
  •     Complete new experience for Apache Falcon
  •     Easy Pig editor and web based HDFS browser
Most companies are facing new challenges related to data integration, i.e. incorporating data from social media and unstructured data into BI environment. With Hadoop ETL technology, companies can avail cost-effective and scalable platform for including big data and preparing it for analysis.

Asp.Net MVC Developers Building Cloud Optimized Apps With Unified Programming Model

MVC or Model View Controller pattern is one of the famous design patterns that help asp.net mvc developers in building easy-to-maintain applications. MVC framework promotes code recycling and testability. The platform is built on top of the asp.net runtime and follows the pattern of MVC design. In this story, you will learn major features in asp.net mvc 6.



MVC design pattern has three major components- Model, View, and Controller. 

Model is the layer that represents the data of the app. View represents the presentation layer or UI layer. Controller layer holds the business logic of the user app. 

The design pattern of MVC enables user to separate the concerns and makes the app code simpler to maintain and test. MVC 6 is the current version of the framework that eliminates dependency on system.web.dll. This means user need to include the Microsoft.asp.net.MVC namespace. MVC 6 offers leaner framework, lowers resource consumption, and brings faster startup time. It becomes inexpensive after the removal of dependency on System.web. 

Professionals have intended the MVC 6 framework for the cloud. Users can take advantage of cloud optimized framework and have different versions of the CLR reside for distinct websites running inside the cloud. Developers have unified the Web API frameworks and MVC into single programming model with asp.net 5. User can also avail support for OWIN abstraction with MVC 6 that includes Web Pages and Web API to expel the overlap between the three frameworks. 

Major components and features of asp.net 5:

  • Cross-platform runtimes
The combination of .net CoreCLR and .net framework offers flexibility to developers in running apps with the current version deployed without affecting each other. Applications can run across platforms even if the operating system is different with dependencies. 
  • Dynamic compilation 
There is now a streamlined process that includes simple edit to code, browser refresh, and saving changes, with the option to use other code editors available in Visual Studio interface. 
  • Cloud ready configuration 
There will be no use of web.config files for configuration values in .net 5 with a latest system to request named values from a larger range of sources, like XML, JSON, etc. that deploy apps in a host environment without publishing test values. 

Professional Asp.net MVC developers can avail the preview of asp.net 5 in Visual Studio CTP 6 release that also comprises of latest project templates, enhanced system references, task runner explorer tool, etc. 

How To Configure Hadoop Cluster For Successful Hadoop Deployments?

In this blog post, we will learn how to configure Hadoop cluster for maximizing production deployments and minimizing long term adjustments.
How To Configure Hadoop Cluster For Successful Hadoop Deployments?
Before you start working on Hadoop, it is necessary to decide on hardware that can help you most for successful Hadoop architect implementation. You should also be sure on cluster planning, CPU usage and memory allocation. Here, we will discuss on how clusters can be configured for Hadoop architect for better business solutions after reading this blog, you will have a strong idea on successful product deployment and cluster configuration.

It is necessary to discuss on some important attributes like network, hosts or disks and necessary to check either they are configured correctly or not. Also it is necessary to check how services and disks are laid down to utilize them in best possible way and minimizing problems related to new data sets.

Network for Hadoop architect

A Hadoop process finds out the hostname and server on which it is running and correct IP address too. It can be done through DNS server and can be configured properly through look up method. If a node is working correctly then it will work in dual mode – look up method and reverse look up method. All cluster hosts should be able to communicate in best way with each other. If you are using Linux operating system then it is easy to check network configuration details with host command.

You must be thinking why to use DNS every time. DNS is easy to implement and less prone to errors. Domain name should be fully qualified due to security reasons. You can verify domain name with fqdn command.

Cloudera Manager for cluster management

If you find cluster management tough then you are strongly recommend using Cloudera manager for refined result. It works as a pioneer for managing complex data nodes. In case, you are familiar with usage of Cloudera Manager then study its documentation that makes its benefits pretty clear. Cloudera manager is available in different version according to your business needs and requirements. It can be used as a wizard on your finger tips and installation is also easy and quick.

If any cluster having 50 + nodes, it can be handled pretty well with Cloudera Manager. Integration of any external database like Hbase and Hive is very common along with Cloudera manager. Additional services for trail blazing data management can be deployed on demand. If you move to little deeper into concept then various services components are mapped together internally then you don’t know about.

Conclusion
The above discussion concludes that cluster management is easy when done with proper tools and sufficient knowledge. As a developer you should spend extra time in understanding Hadoop architect and configuring clusters. By following proper guidelines and instructions, cluster management can be made in your favor that results into successful deployments by Hadoop architect & developers. Now don’t get fuss so much into cluster configuration and spend more time on other business activities like a boss.

Get engaged with us with our future posts to know more on clusters and Hadoop architect.

Read More Related This :

Apache Hive is data warehouse software designed on Hadoop. The software facilitates many functions like data analysis, large database management, and data summarization. You must install and take a Hive tour on your Ubuntu Linux.

Big Data analytics Through Licensed Python Packages

Cloudera distributors offer licensed Python packages for advance big data analytics. The Python packages are now available as preview and can be downloaded from Python official website. This will be an Apache based Python package that will be utilized for big data analytics. The product will be released in new conference meeting soon and Hadoop development and consulting team will be available to help developers about product features and usage.


Hadoop has become one of the most popular data management platforms in last few years and it is used by enterprises across worldwide. The experts aim is to make big data more accessible through innovations and new different frameworks. This is the reason Python has been imported into ecosystem to focus more on real world problems and practical implementation would also get stronger.

The engineers believe that complex workflows can be better managed and handled by Python language than any other languages. According to researchers, Python is found two most lucrative skilled to be learnt by developers. Python handles data in small clusters form and its analytical capabilities are also appreciable and up to the mark. When Python and Hadoop will come together data analytics process will be more robust and performance driven.

Python packages when attached with Hadoop architect platform by Hadoop consulting team, then it offers end to end data analytics capabilities for simplified data management and data extraction. The upcoming versions of Hadoop will allow full implementation of Python platform along with Hadoop architect platform.

The advantage of Python packages for Hadoop consulting team
  • Python packages will enable natural data modeling to leverage robust data analytics.
  • Python packages will add more scalability and functionalities to Hadoop.
  • After Python, Hadoop will be integrated with Impala as well to accelerate data analytics problems.

Hadoop is a surprising package that will offer more data analytics capabilities in future too. To hire Hadoop consulting team, Hadoop developers from Aegis, contact our expert team now.