Showing posts with label Big data certification. Show all posts
Showing posts with label Big data certification. Show all posts

Thursday, 18 May 2017

Discover 7 new Microsoft MCSA and MCSE certifications

Microsoft have announced the launch of 6 new MCSA certifications and 1 new MCSE certification. This demonstrates Microsoft’s commitment to a growing Azure, Big Data, Business Intelligence (BI) and Dynamics community.

These new certifications and courses will support Microsoft partners looking to upskill and validate knowledge in these technologies.  

Following the huge changes announced in September, these new launches will simplify your path to certification. They'll minimise the number of steps required to earn a certification, while allowing you to align your skills to industry-recognised areas of competence.

This blog will outline the new certifications Microsoft have announced, focusing on the technologies, skills and job roles they align to. 

So what's new?


MCSA: Microsoft Dynamics 365

This MCSA: Microsoft Dynamics 365 certification is one of three Dynamics 365 certifications launched. It demonstrates your expertise in upgrading, configuring and customising the new Microsoft Dynamics 365 platform.

There are currently no MOCs aligned to this certification. We have developed our own Firebrand material that will prepare you for the following two exams needed to achieve this certification:
  • MB2-715: Microsoft Dynamics 365 customer engagement Online Deployment
  • MB2-716: Microsoft Dynamics 365 Customization and Configuration 
This certification will validate you have the skills for a position as a Dynamics 365 developer, implementation consultant, technical support engineer or system administrator.

This certification is a prerequisite for the MCSE: Business Applications. 

MCSA: Microsoft Dynamics 365 for Operations

The second of these three Dynamics 365 certs is the MCSA: Microsoft Dynamics 365 for Operations. Here, you’ll get the skills to manage a Microsoft SQL Server database and customise Microsoft Dynamics 365.

On this course, you’ll cover the following MOC:
  • 20764: Administering a SQL Database Infrastructure 
The second part of this course, of which there is currently no MOC, will cover Firebrand's own material. 

To achieve this certification you’ll need to pass the following exams:
  • 70-764: Administering a SQL Database Infrastructure
  • MB6-890: Microsoft Development AX Development Introduction 
Earning this cert proves you have the technical competence for positions such as Dynamics 365 developer, solutions architect or implementer.  

Just like the MCSA: Microsoft Dynamics 365, this certification is also a prerequisite to the new MCSE: Business Applications certification. 

MCSE: Business Applications

Earning an MCSE certification validates a more advanced level of knowledge. The MCSE: Business Applications certification proves an expert-level competence in installing, operating and managing Microsoft Dynamics 365 technologies in an enterprise environment.

In order to achieve this certification you’ll be required to pass either the MCSA: Microsoft Dynamics 365 or the MCSA: Microsoft Dynamics 365 for Operations. You’ll also be required to choose one of the following electives to demonstrate expertise on a business-specific area:
  • MB2-717: Microsoft Dynamics 365 for Sales
  • MB2-718: Microsoft Dynamics 365 for Customer Service
  • MB6-892: Microsoft Dynamics AX - Distribution and Trade
  • MB6-893: Microsoft Dynamics AX - Financials  
Earning your MCSE: Business Applications certification will qualify you for the roles such as Dynamics 365 developer, implementation consultant, technical support engineer, or system administrator.

MCSA: Big Data Engineering

This MCSA: Big Data Engineering certification demonstrates you have the skills to design and implement big data engineering workflows with the Microsoft cloud ecosystem and Microsoft HD Insight to extract strategic value from your data.

On this course you’ll cover the following MOCs:
  • 20775A: Perform Data Engineering on Microsoft HDInsight – expected 28/6/2017
  • 20776A: Engineering Data with Microsoft Cloud Services – expected 08/2017
And take the following exams:
  • 70-775: Perform Data Engineering on Microsoft HD Insight – available now in beta
  • 70-776: Engineering Data with Microsoft Cloud Services – expected Q1 2018
This course is aimed at data engineers, data architects, data scientists and data developers.

Earning this MCSA acts as a prerequisite, and your first step, to achieving the MCSE: Data Management and Analytics credential.

MCSA: BI Reporting

This MCSA: BI Reporting certification proves your understanding of data analysis using Power BI. You’ll learn the skills to create and manage enterprise business intelligence solutions.

The MOCs you’ll cover on this course include:
  • 20778A: Analyzing Data with Power BI
  • 20768B: Developing SQL Data Models 
In order to achieve the certification, you’ll take the following exams:
  • 70-778: Analyzing Data with Power BI - expected Q1 2018
  • 70-768: Developing SQL Data Models 
This certification is aimed at database professionals needing to create enterprise BI solutions and present data using alternative methods.

This certification is a prerequisite for the MCSE: Data Management and Analytics credential. 

MCSA: Cloud Database Development 

This MCSA: Cloud Database Development certification will prove you have the skills to build and implement NoSQL solutions with DocumentDB and Azure Search for the Azure data platform

This certification covers the following MOCs:
  • 40441: Designing and Implementing Cloud Data Platform Solutions
  • 20777: Implementing NoSQL Solutions with DocumentDB and Azure Search – expected in August 2017 
In order to achieve the certification, you'll have to pass the following exams: 
  • 70-473: Designing and Implementing Cloud Data Platform Solutions
  • 70-777: Implementing NoSQL Solutions with DocumentDB and Azure Search – expected in Q1 2018
This course is aimed at specialist professionals looking to validate their skills and knowledge of developing NoSQL solutions for the Azure data platform. 

This certification is also a prerequisite certification to the MCSE: Data Management and Analytics credential. 

MCSA: Data Science

This course will teach you the skills in operationalising Microsoft Azure machine learning and Big Data with R Server and SQL R Services. You'll learn to process and analyse large data sets using R and use Azure cloud services to build and deploy intelligent solutions.

This certification covers the following MOCs:
  • 20773A: Analyzing Big Data with Microsoft R – in development, expected May 2017
  • 20774A: Perform Cloud Data Science with Azure Machine Learning – in development, expected June 2017
To achieve this certification you’ll be required to pass the following exams:
  • 70-773: Analyzing Big Data with Microsoft R – available now in beta
  • 70-774: Perform Cloud Data Science with Azure Machine Learning – available now in beta 
This certification, which is your first step to the MCSE: Data Management and Analytics cert is best suited to data science or data analyst job roles. 


Monday, 26 January 2015

Get £500 towards training from the Tech Partnership Training Fund


By Sarah Morgan


The Tech Partnership Training Fund provides funding for employers to invest in IT training. This means you can get a contribution of up to £500 off your Firebrand Training course – or up to £1,000 off an apprenticeship.

The Tech Partnership is a network of employers, collaborating to create the skills to accelerate the growth of the IT industry. The fund has been made available from the Government’s Employer Ownership of Skills Pilot.


£500 towards hundreds of accelerated Firebrand courses

Now not only will you save time on your Firebrand training course, you can also get a £500 contribution via the fund.

We offer courses in all the key areas that the Tech Partnership Fund is actively investing in, meaning you can apply for funding on most Firebrand courses, including : EC-Council Certified Ethical Hacker (CEH), Microsoft MCSA: Windows Server and VMware vSphere 5.5 Fast Track.

Tech Partnership Funding is available across a range of key IT areas. Use the links below to find the training you need, or take a look at hundreds of other accelerated courses:



Show this to your boss

Funding is available per course, per delegate. This could mean massive cost-savings across your business.

Show this to your boss and take advantage of this government-backed scheme: get you and your colleagues trained and certified at twice the speed – while saving £500 each.


Self Employed?

If you're self employed or a contractor, you can still get the £500 funding per course.


How to apply

To get the funding, your business must have an office in England, and the training must be taken at a Firebrand UK training centre.

This is all you need to do:

  1. Once you’ve chosen your Firebrand course, complete the funding application form for short course funding or apprenticeship funding
  2. You’ll then get a letter to confirm if you've been approved (most applications are), which you need to sign and return, along with details of the learner(s)

It’s as simple as that!

You can see samples of the application forms here:
To find out more about the Tech Partnership Training Fund – or for help with the application form - call us on 080 80 800 888.

Note: There are a handful of Firebrand courses that don’t qualify for the funding. Call us now to check that your course is covered.


About the Author:        
Sarah writes for Firebrand Training on a number of IT related topics. This includes exams, training, certification trends, project management, certification, careers advice and the industry itself. Sarah has 11 years of experience in the IT industry. 

Tuesday, 18 November 2014

Big Data: A big security challenge



By Debra Littlejohn Shinder

Big Data – the collection of large and complex sets of data that include both structure and unstructured information – is widely touted as one of the most important current trends in computing, along with Bring Your Own Device/mobility and of course, the cloud. In fact, the convergence of these technologies is seen by many as the top IT challenges of this decade. 

Much has been said and written about the security implications of BYOD, mobile devices and cloud services, but the security aspects of big data don’t seem to get quite as much attention. This is true even though companies are accumulating and analyzing huge amounts of information – not just terabytes, but petabytes – and some of it could cause big problems if it fell into the wrong hands. 

Image courtesy of Renjith Krishnan at FreeDigitalPhotos.net
After all, the real point of collecting such massive amounts of data is not just to be a data hoarder; the objective is to subject it to analytics that can provide the company’s decision-makers with insights into aspects of their business that can have an impact on the organization’s efficiency, reputation and bottom line. But we all know that information that can be used for good can also be used for nefarious purposes, and if those business insights became public and/or were revealed to competitors, the impact on the company could be very negative indeed.

The security challenge of big data is complicated by another of those hot trends we mentioned above; many companies don’t have the storage capacity on premises to handle the amounts of data involved, so they store all that data in the cloud. Some do so in the mistaken believe that turning their data over to a cloud storage provider means they also get to hand off all of the responsibility for securing that data. 

For some companies, this might even be a reason for the decision to store the data in the cloud in the first place. You could argue that large cloud providers have far more resources to put into securing the data than your organization does. Cloud data centers are heavily guarded fortresses that employ high dollar physical and technological security mechanisms. 

Image courtesy of Stuart Miles at FreeDigitalPhotos.net
This line of reasoning makes sense – but the cloud shouldn’t be an excuse to abdicate your ultimate responsibility for the protection of your sensitive information. If there is a breach, your customers will blame you, not the cloud provider, because you are the one to whom they entrusted their information. This does double if you’re doing business in a regulated industry – financial, healthcare, a publicly traded corporation, a retail business that processes payment cards, etc. You won’t be able to pass the buck if you’re found to be out of compliance or in violation of standards. 

As with information security in general, the key to securing big data is to take a multi-layered approach. One important element in protecting the huge quantity of data that often contains bits and pieces of personal information about many individuals is de-identification – the separation of identifying information from the rest of the information pertaining to a person. Unfortunately, the counterpart to de-identification is re-identification, the art and science of putting all those pieces back together to discern identities from the de-identified data. 

In a report last summer, Gartner concluded that over 80 percent of organizations don’t have a consolidated data security policy across silos, and that in order to prevent breaches, they need to take a more data-centric approach to security. 

Of course, many of the security concerns and solutions that apply to big data are the same ones that apply to protecting any sensitive data. However, one thing that makes big data especially challenging is that it often passes through many more different systems and applications in the process of turning all that unstructured mess into useful information. 

Companies may use applications and storage methods for which security was not a design priority, so that they have to tack on security solutions after the fact. Since much of big data is unstructured, it’s often stored in non-relational databases such as NoSQL, which were not built with security in mind. Traditional firewalls and other security solutions weren’t designed to handle distributed computing that is at the heart of big data. Automated moving of data between tiers in a multi-tiered storage system can make it difficult to keep track of where the data is physically located, which poses a security issue.

Close attention to “middleware” security mechanisms, extensive and accurate logging of data tracking, and real-time monitoring are essential components of a security strategy that encompasses the challenges of big data.

You can find more information about securing data in the cloud here.  

Author Profile

Debra Littlejohn Shinder, MCSE, MVP (Security) is a technology consultant, trainer and writer who has authored a number of books on computer operating systems, networking, and security.

She is also a tech editor, developmental editor and contributor to over 20 additional books. Her articles are regularly published on TechRepublic's TechProGuild Web site and WindowSecurity.com, and has appeared in print magazines such as Windows IT Pro (formerly Windows & .NET) Magazine.

Thursday, 1 May 2014

The hottest IT certifications to advance your career with the latest technology


By 

The Information Technology market offers thousands of great opportunities with some uniquely varied roles. However, as most industries, IT has also got its hottest areas. This post discusses those popular areas, including the must-have certifications and how they can make your CV stand out from the rest.

Security

Hackers continuously develop their tricks and techniques to access and misuse privileged data. And because information will always be precious to its owners; its protection will never go out of fashion. As a result of this, skilled IT security professionals are still in extremely high demand.

How would you decide whether someone is qualified enough to defend your data? Employers often refer to certifications when recruiting, because they very clearly demonstrate the skills and knowledge their holders possess.

If IT security is the field you (want to) work in, the CISSP by (ISC)2 is a must-have. This certification is designed for security pros, who are actively involved in critical decision making. CISSP holders have the knowledge, understanding and expert skills in order to manage security standards, policies and procedures within their organisation.


The cert demonstrates your competence in various security topics, including cloud computing, app development security, mobile security and risk management. In order to obtain the CISSP credential, you must tick a bunch of boxes, including a minimum of five years’ experience in at least two CISSP domains. (ISC)2 offers great resources to help you prepare for getting your certification. You can download the exam outline and also watch informative webcasts about the CISSP domains for free.

Cloud Computing

A recent research by Dworin Consulting shows that 39% of respondents expect an increasing need for cloud computing training by the end of 2014. This should not come as a surprise to any IT pro, because cloud computing is currently one of the hottest areas in the industry.



Silicon Angle compiled a comprehensive list of cloud stats published by the likes of Gartner, Cisco and Forbes.  According to this list end-user spending on cloud services could exceed £100 billion by 2015. The list also shows that 82% of companies reported savings by moving to the cloud and more than 60% of businesses use the cloud for performing IT-related operations.

There are more and more certifications available in the field of cloud computing, thus it’s hard to name the undisputed champ of cloud certs.

CompTIA’s Cloud Essentials is a great cert to start with because it teaches you the fundamental concepts of cloud computing. This certification demonstrates your knowledge of the different cloud types, their impact on IT service management as well as the risks of cloud computing.

If you’re looking to take your cloud competency even further, Cloud+ by CompTIA could be your next step. With the Cloud+ under your belt you’ll have knowledge of virtualisation in the cloud, network management, storage provisioning and other key topics.



Big Data

Big Data has been one of the top IT buzzwords in the last few years and it’s likely to stay that way. Big Data is oftentimes described with the 3V model, i.e. it is high volume, high velocity and high variety. However, there’s a lot more to defining Big Data according to Timo Elliott, who shares seven definitions in his article.

Regardless of which definition you decide to side with, one thing’s certain: Big Data is a big deal. Gartner’s research revealed that the number of companies investing in Big Data tech increased by 6% (from 58 to 64 per cent) since 2012. The findings also indicated that 19% intends to make an investment in the next 12 months, while a further 15% considers investing in the next two years.

To succeed in Big Data you must master the skills and techniques of Apache Hadoop. Cloudera offers the following two Hadoop related certifications:
These certifications prove your knowledge and skills in writing, maintaining, optimising (CCDH) as well as configuring, deploying, maintaining and securing (CCAH) an Apache Hadoop cluster. 



Software-Defined Networking (SDN)

Software-Defined Networking (SDN) is a relatively new concept in the designing, building and management of networks. In SDN the network’s control and forwarding planes are separated in order to allow easier optimisation for each.

Due to SDN’s relatively recent inception, there is a lack of available training; however the Cisco Learning Network (CLN) is working on the solution. CLN believes that SDN can be defined and referred to as programmability. Therefore, training must augment the understanding of networking with programming skills.



The Cisco Learning Network provides a detailed breakdown of how traditional IT roles will evolve following the SDN paradigm-shift. Although the complete certification for Network Programmability is not yet available, CLN offers a six-module introductory course on their website. 

About the Author:       
Sarah writes for Firebrand Training on a number of IT related topics. This includes exams, training, certification trends, project management, certification, careers advice and the industry itself. Sarah has 11 years of experience in the IT industry. 

Friday, 25 April 2014

How to plan your career - the next five years


By 

Whether you’re working your dream job or considering a career change, one thing is certain: you must plan ahead, if you want to be successful in the long-run.

“Where do you see yourself in five years?” – is this a familiar question? Of course it is, because everyone has been asked this question at least once in their lives. Although it may seem daunting at first, planning five years ahead can make a huge (and positive) difference.

If you’re an IT professional, certifications are very likely to be essential components of your career progress. Therefore you should put great emphasis on planning your future training. Consider the following points when thinking about new qualifications:
What do you have to learn in the coming years?
  • Do you need multiple certifications?
  • Do you have expiring certifications?
  • Polish your non-technical skills
  • How can you build your network of professionals?
Set SMART goals, but first…

Climbing the career ladder will involve a significant investment of your time, effort and money. Therefore, it’s advised to treat it as a business investment and set your expectations, goals and most importantly milestones with deadlines. To ensure success, your goals have to be SMART - Specific, Measurable, Attainable, Relevant, Timely.

However, it can be hard to set SMART goals without having considered the points listed above, so let’s see what you should keep in mind to come up with a great career plan.

Answer these questions to help yourself

1) What do you have to learn in the coming years?

Have you recently come across something particular that is likely to be a requirement in your field? This can be something related to new technology, an update to in-demand certifications or a completely new qualification. 

But don’t think about your current job only. Is there something you find interesting and can benefit you in the future? Think of a certification, that is not related to your current position or industry, but could kick-start your career in a new field.

You should definitely keep your eye on emerging technologies like big data or cloud computing and new certifications in these technologies. 

2) Do you need multiple certifications?

Sometimes one certification is all you need, but there can be situations when you need more to achieve your goals. Think of the ways how you could benefit from getting more certifications:
  • Get them done in one go and save time
  • Negotiate a deal/discount when you register for more than one course
  • Spend a few extra days to get a higher level cert or a combination

3) Do you have expiring certifications?

Some qualifications expire sooner than others and recertification ways differ as well. Microsoft's MCSE and MCSD certifications for example need upgrading every three years, while recertification timeframe for Cisco certs ranges from two to five years.

Not all certs require you to retrain or pass an exam in order to keep your credentials valid. Still, it's important to keep an eye on the certifications you already have, because it may be a long process to revive them. You should also look out for any retiring examinations, in case you’d need them before they stop running.

Plan ahead and you can avoid stressing out about deadlines and workload.

4) Polish your non-technical skills

When planning your career, it is important that you focus on skills that are not technically related to your job, but help you do it. Are you confident your messages are always clear and comprehensible? You would never imagine how improving your written or verbal communication could help you do your job. This is especially true if you’re a manager and you need to be certain that your employees understand what’s required of them.

Once you have identified the fields in which you need to improve, you can start thinking about the ways to do it. Do you need to attend a training course? Can you learn relevant skills on the job? But perhaps you've already got the skills you just need to perfect them.

You can develop your soft skills and get better at your job by using the resources of the National Careers Service or Mind Tools

5) How can you build your network of professionals?

Get your calendar out and circle some events where you could make new connections and exchange ideas with fellow professionals. If you’re not able to attend conferences, expos or exhibitions you should still try to network with people in your industry. The internet is full of great forums, such as Stack Exchange, Spiceworks, Microsoft TechNet or CertForums. You can also find social media groups, like CISCO CERTIFIED, or IT SECURITY EXPERT on LinkedIn and industry associations such as techUK, CompTIA or SIIA where you can get in contact with like-minded peers.

Building your network is important, but maintaining your existing one is even more so. Take a look at your contacts and make a list of those who you haven’t contacted in the last year. Give them a call; they may have heard some news you haven’t.

Plan before you plan

It may sound strange, but it makes sense. Make planning a habit, or better yet a ritual. Before you start planning, make sure that you’re away from all distractions and you can fully focus on where you want to be in the future. If you can do that, you’ll have a much easier time outlining what you want to achieve.

Create a to-do-list and include every step you need to take to reach your goal. Because training can be costly, it’s very useful to plan your budget so that you’re always on top of how much you can invest in yourself.

Last but not least, you should also consider mapping your career path so that you can refer back to it and see the progress you’ve made and how successfully you’ve coped with changes around you.

About the Author:       
Sarah writes for Firebrand Training on a number of IT related topics. This includes exams, training, certification trends, project management, certification, careers advice and the industry itself. Sarah has 11 years of experience in the IT industry. 

Friday, 20 December 2013

The skills you need to succeed in Big Data


By 


In the New Year, companies will have to make a decision, whether to hire new talent for Big Data or train existing data management talent with new skills. It will be a crucial decision, because Big Data is the next big deal.

Organisations, utilising big data differ from those with traditional data practices, because they:

  • Pay attention to flows as opposed to stocks
  • Rely on data scientists and product and process developers as opposed to data analysts
  • Move analytics from IT into core business and operational functions

How does this manifest itself in business? Companies aim to measure customer sentiment or respond to breaks in train tracks in time to effect pre-emptive change. They need to analyse the data coming in from remote points as it flows in, not after it has been 'stocked' in a master database or migrated to a data warehouse.

They also need the statistical analysis skills to know which questions to ask of this data, and how to ask questions to arrive at new processes and even new products that the business sees commercial potential in. To get there, companies must have people possessing these technical skills as well as a strong business understanding.

In-demand skills to succeed

Nowadays, many businesses struggle to find suitable personnel, who tick all the boxes. Thus, the competition between Big Data professionals gets more intense, because those who really got the skills need to stand out. On a different note, Big Data in businesses doesn't run well without contributions from traditional data competencies; therefore the required skills are quite mixed.

“For instance, 59 per cent of companies responding to a 2012 survey conducted by analyst firm Information Difference said that their big data projects were 'highly linked' to their master data repositories. In many cases, master data (e.g. customer data, product data, and so on) was being used as 'vectors' into big data queries that began the process of probing piles of unstructured and semi-structured big data for clues on how customers react to certain offers, or how products were being accepted in certain markets, and so on.”

“In these cases, it was traditional master data that actually formed the core of what big data queries were constructed from — and so it was no surprise that 67 per cent of respondents in the same survey also said that master data was driving big data, rather than the other way around.” – ZDNet.com

Big Data skills vs. Traditional Skills

Big Data demands new programming and analytic skills, that today's typical data analysts lack. Most of these skills fall under the heading of 'data science'.

Key skills include:
  • Strong Background in Mathematics
  • Strong Background in Statistical Analysis
  • Knowledge of Statistical Programming Languages
  • Familiarity with Analytics Modelling Techniques
  • Knowledge of Data Subject Matter
  • Ability to Experiment with Data 

Big Data also demands a new set of technical skills that aren't readily found today in many enterprise data centres. These skills include data architecting that includes the build-out of databases that span terabytes of data, being able to administer software frameworks like Hadoop, expertise in databases like noSQL, Cassandra or HBase; or in analytics programming languages and facilities like R or Pig.

But if these are some of the hard skills areas, Big Data also demands a set of soft skills that enterprise IT has customarily been short on. These include the ability of people to think across the organisation, to be aware of the ultimate needs of the business, to know which analytics questions to pose to get to those ultimate needs, and to measure and communicate results.

To learn more about the essential skills in Big Data, read the full article on ZDNet.com

About the Author:       
Sarah writes for Firebrand Training on a number of IT related topics. This includes exams, training, certification trends, project management, certification, careers advice and the industry itself. Sarah has 11 years of experience in the IT industry. 

Thursday, 10 October 2013

Big Data is the next big deal


By 


Big Data is large and complex data that can challenge traditional database systems. It is often described with the classic 3V model, which refers to high volume, high velocity and high variety. However, the definition is not carved into stone and thus there are many other angles of characterising Big Data.  

No matter which description you choose to go with, one thing is for sure: Big Data is a big deal. According to Gartner, the world’s leading IT research and advisory company, more and more companies will be using Big Data technology in the upcoming years. In fact, their research indicates that the number of companies investing in Big Data tech increased by 6% (from 58 to 64 per cent) since 2012. The findings also showed that 19% plans to make an investment in the next 12 months, while a further 15% thinks about investing in the next two years.

Lisa Kart, research director at Gartner, said: “While there are many areas companies would like to address, a slightly different picture emerges when we ask about the priority of these categories.

Different industries have different priorities when it comes to Big Data. Industries that are driving the customer experience priority are retail, insurance, media and communications, and banking, while process efficiency is a top priority for manufacturing, government, education, healthcare and transportation organisations.”

James Riley, global head of innovation at HCL Technologies, commented:  “The excitement around Big Data quickly needs to be translated into business value to justify the not inconsiderable investments required. Big Data projects typically fail because organisations try to do too much too soon and don’t have the necessary underlying technological architecture or people to properly support it. So [they] need to fully understand what is possible with Big Data and how it can help them achieve their corporate goals.”

However, increasing investments are not the only indicators of how important Big Data is becoming. To make good use of the massive amounts of information stored across data centres, IBM has decided to open up its Accelerated Discovery Lab dedicated to big data-related research.



Laura Haas of IBM Research said that the lab’s prime purpose is to help people get insight out of their data faster than ever before. While admitting that “it is still really hard to get the right kind of insight”, she stays confident that the lab can bring all the talent, skills and expertise together to tackle the arising difficulties. 

About the Author:       
Peter writes for Firebrand Training on a number of IT related topics. This includes exams, training, certification trends, project management, certification, careers advice and the industry itself.

Friday, 16 August 2013

Forecasts predict Big Jobs in Big Data


By 


Earlier this year, e-skills UK and SAS (specialists in business analytics software and services) published Big Data Analytics: Anassessment of demand for labour and skills 2012 - 2017, which forecasts a 92% increase in demand for big data professionals between 2012 and 2017.

The report also shows that all together, IT employment is looking to grow by 2.5% a year over the next five years, which is three times the rate predicted for UK employment as a whole.

Apache Hadoop logoDemand for big data staff will rise the fastest - with a growth rate forecast of 18% per year. This means that by 2017, there will be at least 28,000 new jobs for big data in the UK every year!

The report also shows an analysis of recent demand trends for big data staff, while examining the core occupations and skills currently needed by UK employers implementing big data projects. These include:
  • Hadoop
  • NoSQL
  • Oracle
  • Java
  • SQL

CEO of e-skills UK, Karen Price, stated: "There’s huge potential in UK business to develop competitive advantage and new business through exploiting data assets. We need to ensure there’s a pool of high calibre IT specialist with the right skills to make the most of these opportunities."

 She added: "To truly exploit the benefits of big data, the UK needs a new breed of professionals," adds Mark Wilkinson, Managing Director, SAS UK and Ireland. "It's crucial for the industry to work with academic institutions to ensure that today's students are equipped with the skills so clearly in demand by UK businesses."

You can find the report here.

About the Author:       
Sarah writes for Firebrand Training on a number of IT related topics. This includes exams, training, certification trends, project management, certification, careers advice and the industry itself. Sarah has 11 years of experience in the IT industry. 

Tuesday, 28 August 2012

Big Data, the big thing to happen to the internet


To first talk about big data, it is important to understand what it is. The term ‘Big Data’ is usually used to define a Big Data Platform. This is a data set that can handle sizes much larger than the average software tools can. 

Hadoop Big Data LogoAn example of a Big Data tool is Hadoop (mentioned in a previous post) which is used to handle large quantities of data to capture, manage and process. 

This year, Gartner updated the definition of 'Big Data' to the following "Big Data are high-volume, high-velocity, and/or high-variety information assets that require new forms of processing to enable enhanced decision making, insight discovery and process optimization."

Why Big Data is a Big Thing
Big data is changing what computers can do. Without it, Google would have not been what it is today as the sheer quantity of information has grown significantly. It is changing things for three reasons:
  
        1.    It handles huge amounts of information in all types of formats
        2.    Its fast, almost instant
        3.    It uses low cost hardware making it affordable
For these three reasons it’s solving several problems companies would normally face.

Pat Gelsinger, the Chief Operating Officer of the storage giant EMC stated that big data is a $70 billion market and is growing at a massive 15-20% a year. Almost every tech company is interested and are investing heavily in ‘Big Data’ products and services.