Showing posts with label Big Data. Show all posts
Showing posts with label Big Data. Show all posts

Saturday, 10 January 2015

Five Reasons Why Big Data Will Be A Huge Hit In 2015!

Big Data has been one of the trending topics over last few years. Better yet, some companies have gained expertise in it. However there is still confusion about how to unlock business potential using Big Data. We are expecting to see companies explore and grab expertise in multiple domains related to Big Data in this year. Let’s take a look at five reasons why 2015 will be a hot year for Big Data.

big data, growth, data hacks, data science, big data, hadoop, Internet of Things, DevOps, Mobile Analytics, Security analysis, application performance monitoring, APM.




1. Security Analyst:

Analysts have played a key role in detecting and preventing threats last year. According to a recent survey, organization detects about the security attack after 200 days. Attackers get to access the victim’s network for over 200 days. In most cases, victim is informed about the attack by someone outside their organisation. Data Analysts need to be more aware and productive in order to spot the unusual event patterns and to prevent these security attacks. With the fast growing IT industry, network frauds are easy to spot but they are constantly changing. It is challenging for security analysts to manage these records. Writing security rules in software isn't enough these days, the nature of fraud patterns are constantly changing.

2. Hadoop:

Analysing the data stored in Hadoop in EMEA is time consuming and expensive. Some new tools will be introduced in 2015 which will make the analysis of data stored in Hadoop much more easier. Organisations will be able to gain business insights from Hadoop in real-time by opening organisation data to new audience. Number of organisations are testing new Hadoop solutions, which will bring some affordable solutions in 2015. Some leading companies like Amazon are also opting for PAYG (pay as you go) method for payment. Companies these days have freedom to experiment with Hadoop. The new approach of offering ‘Big Data as a Service’ will enable the small organisations to identify ROI and possible return on big investment.

3. IoT (Internet of Things):

We witnessed number of consumer products in field of IoT. 2015 is expected to bring innovations in IoT. Experts are expecting the conversion of IoT beyond consumer devices. Organisations are working on revolutionary tech products that will connect industries like manufacturing, transportation, construction with internet communication. Manufacturing is already benefiting from IoT and Big Data. If we link up sensors and robotics to automate processes, manufacturing industry will have a great benefit out of it. Manufacturing industry can become much more efficient if we generate machine data that can be indexed, monitored and analysed. Implementation of IoT in transportation can be used to contribute to Big Data which can help in changing strategy that the industry has been using for long time.

4. DevOps:

With the growing number of organisations, DevOps all drive the quality of software and delivery exactly what customers are looking for. DevOps can be very helpful in analyzing the data generated by interacting with customers. This analyzed data can be really helpful while releasing new web app, mobile app or a feature in existing apps. Companies can build strong DevOps (developer and IT operational analytics) team to predict the performance and identify issues. With the fast growing software product industry, DevOps are really important aspect of the company.

5. Mobile Analytics:

According to the survey statistics, 60 per cent of the traffic to e-commerce companies is from mobile devices. The mobile app is as valuable as websites these days. A customer experience on mobile applications is much more efficient as compared to web app. Developing a mobile app of great user experience will become essential part of 2015. Analytics will play pivotal role in both, helping retailers to trailer as well as a customer journey for mobile and spot usual event patterns that can lead to potential security threats. DevOps can also help in measuring APM (Application Performance Monitoring), this can predict application delivery cycle of apps.

Here Are 10 Big Data Jobs With Whopping Salaries!

Big data is certainly the talk of the town lately! It is one of the fast growing technologies that can help you get jobs with the tech biggies. More and more firms now believe that big data will help businesses make better decisions in the days to come (some believe it's already started). There is a definite surge in demand for people who can collect, organise and interpret big data.

big data, big data jobs, salaries, Data warehouse manager, Data architect, Database manager, Business intelligence analyst, Data warehouse analyst, Data modeler, Database developer, Portal administrator, Database administrator, Data analyst/report writer




1.Data warehouse manager

Skills required: in-depth background in database theory and practice; hands-on experience in data warehousing tools and architecture; strong analytic abilities; project management experience; technical proficiency in database languages and applications etc.

Starting salary: $115,250 to $154,250

2.Data architect

Skills required: planning and coordinating data resources, working knowledge of network management, application architecture, and performance management etc.

Starting salary: $111,750 to $153,750

3.Database manager

Skills required: in-depth understanding of all aspects of database technology, plan information system strategy etc.

Starting salary: $107,750 to $149,000

4.Business intelligence analyst

Skills required: background in all aspects of database technology; experience with database queries, stored procedure writing, Online Analytical Processing (OLAP), and data cube technology, etc.

Starting salary: $101,250 to $142,250

5.Data warehouse analyst

Skills required: research, analysis and problem-solving skills; strong oral and written communication abilities; knowledge of relational database theory etc

Starting salary: $99,000 to $133,750

6.Data modeler

Skills required: excellent data analysis and problem-solving skills along with good communication skills; familiarity with data modeling tools and methodologies; knowledge of database system applications, stored procedures and data warehousing etc.

Starting salary: $97,250 to $134,250

7.Database developer

Skills required: solid understanding of relational database theory and practice etc.

Starting salary: $92,000 to $134,500

8.Portal administrator

Skills required: complex problems analysing and solving skills; knowledge of enterprise web applications, services, systems and supporting technologies etc.

Starting salary: $91,250 to $121,000

9.Database administrator

Skills required: strong foundation in database structure, configuration, installation and practice etc.

Starting salary: $87,500 to $126,000

10.Data analyst/report writer

Skills required: strong analytical, quantitative and problem-solving abilities; thorough knowledge of relational database theory and practice etc

Starting salary: $67,750 and $101,000

Top 10 Reasons Why Java Programming Language Is A Must!

Java, considered one of the best programming languages ever, has so many reasons to become the favourite among developers. Java's popularity has been growing immensely and with new versions, performance has kept improving and Android app development has been made easier. In terms of job opportunities too, Java is the best language to learn. So here we will discuss the top ten reasons why Java language should be learnt anyhow, without any miss.

Java, Java programming language, Java language popularity, reasons why Java is important, Top 10 Reasons Why Java Programming Language is important, Object Oriented Programming language, Java libraries, Java development, Java applications




Reason #1:

Java is the programming language which can be learnt in the easiest way possible. Java's syntax is fluent and it makes it easy to read Java programme and learn it faster than other languages. If the learner gets familiar with installing JDK and setting up PATH, then it's easy to write programme in Java.

Reason #2:

Java is an Object Oriented Programming language and it also helps to keep system modular and flexible. If the key concept of OOPS is clear to you, then Java can help with its best practices and design patterns. Java promotes use of SOLID and Object oriented design principles in form of open source projects.

Reason #3:

Java has rich API and it's highly visible with Java installation. Java programming beginners usually code applets which provide animation capability. It also provides API for I/O, networking, utilities, xml parsing, database connection and more.

Reason #4:

Java has huge contribution by Eclipse and Netbeans and coding in IDE is a huge pleasure. DOS Editor and Notepad help in code completion and they also provide powerful debugging capability. Java development is made easier by IDE as IDEs make it easy to search, refactor and read codes too. Java platform has several tools for building Java applications too.

Reason #5:

Java can be used anywhere, thanks to open source libraries. Great libraries have come from Apache, Google and other similar organisations and Java development is made easier, faster and cost effective too.

Reason #6:


Java gets huge strength from communities as communities contribute a lot to share knowledge. Java has many active forums and these forums help Java beginners a lot.

Reason #7:


Cost is always an important factor for learning any language and as Java is a free language, you don't need to pay anything to create any Java application. Java is mostly popular for this reason and Java programmers are easily available for any enterprise too.

Reason #8:

Java has some great piece of documentation which discusses Java API and the method of coding with Java. With IDE, Javadoc doesn't require any browser now as it can be opened in an IDE window only.

Reason #9:

Java complies with every platform and this is one of the main reasons behind its popularity. Java's tagline itself proves how much exciting it can prove for any programmer - "write once run anywhere".

Reason #10:

Java is prevalent everywhere – on desktops, on mobiles and across every platform. Java programmers are highly available and that's why every organisation prefers Java to develop any new programme.
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