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You are here: Home / Archives for Big

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8 Skills That Will Help You Get A Job In Big Data Or Data Analytics

June 11, 2018 by Julie McGrath

8 skills that will help you a get a Job in Big Data

The secret is out, getting a Job in Big data is the newest hot topic, as Big Data is now seen as the ‘New Gold’! The mad rush is on to leverage big data analytic tools and techniques for competitive advantage. If you’re on the hunt for a new Job in big data, here are 8 highly sought after skills, that will help you a get that Job.

1. Apache Hadoop

Sure, it’s entering its second decade now, but there’s no denying that Hadoop had a monstrous time and is positioned for an even bigger year as test clusters are moved into production and software vendors increasingly target the distributed storage and processing architecture.The raise of Apache Hadoop created lots of new IT jobs in big data as the  platform is powerful, Hadoop can be a fussy beast and requires care and feeding by proficient technicians. Those who know there way around the core components of the Hadoop stack–such as HDFS, MapReduce, Flume, Oozie, Hive, Pig, HBase, and YARN–will be in high demand, and alternatively this will create lots of new IT jobs.

2. Apache Spark

If Hadoop is a known quantity in the big data world, then Spark is a black horse candidate that has the raw potential to eclipse its elephantine cousin. The rapid rise of the in-memory stack is being proffered as a faster and simpler alternative to MapReduce-style analytics, either within a Hadoop framework or outside it. Best positioned as one of the components in a big data pipeline, Spark still requires technical expertise to program and run, thereby providing IT job opportunities for those in the know.

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Source: Dice Tech Salary Survey

On the operational side of the big data house, distributed, scale-out NoSQL databases like MongoDBand Couchbase are taking over IT jobs previously handled by monolithic SQL databases like Oracle and IBM DB2. On the Web and with mobile apps, NoSQL databases are often the source of data crunched in Hadoop, as well as the destination for application changes put in place after insight is gleaned from Hadoop. In the world of big data, Hadoop and NoSQL occupy opposite sides of a virtuous cycle.

3. Machine Learning and Data Mining

People in IT jobs have been mining for data as long as they’ve been collecting it. But in today’s big data world, data mining has reached a whole new level. One of the hottest IT Jobs in big data last year is machine learning, which is poised for a breakout year. Big data pros who can harness machine learning technology to build and train predictive analytic apps such as classification, recommendation, and personalization systems are in super high demand, and can command top dollar in the IT job market.

4. Statistical and Quantitative Analysis

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This is what big data is all about. If you have a background in quantitative reasoning and a degree in a field like mathematics or statistics, you’re already halfway there. Add in expertise with a statistical tool like R, SAS, Matlab, SPSS, or Stata, and you’ve got this category locked down. Thanks to the big data boom, companies in all sorts of industries across the country are in need of ‘geeks’ with quantitative backgrounds and has created a boom in Big Data jobs.

5. SQL

The data-centric language is more than 40 years old, but the old grandpa still has a lot of life yet in today’s big data age. While it won’t be used with all big data challenges (see: NoSQL above), the simplify of Structured Query Language makes it a no-brainer for many of them. And thanks to initiatives like Cloudera‘s Impala, SQL is seeing new life as the lingua franca for the next-generation of Hadoop-scale data warehouses and IT Jobs.

6. Data Visualization

Big data can be tough to comprehend, but in some circumstances there’s no replacement for actually getting your eyeballs onto data. You can do multivariate or logistic regression analysis on your data until the cows come home, but sometimes exploring just a sample of your data in a tool like Tableau or Qlikview can tell you the shape of your data, and even reveal hidden details that change how you proceed. And if you want a job as a  data analyst, being well-versed in one or more visualization tools is practically a requirement.

7. General Purpose Programming Languages

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Having experience programming applications in general-purpose languages like Java, C, Python, or Scala could give you the edge over other candidates when applying for big data or any similar IT Job. According to Wanted Analytics, there was a 337 percent increase in the number of IT  job postings for “computer programmers” that required background in data analytics. Those who are comfortable at the intersection of traditional app development  and emerging analytics will be able to write their own tickets and move freely between end-user companies and big data startups.

8. Creativity and Problem Solving

No matter how many advanced analytic tools and techniques you have on your belt, nothing can replace the ability to think your way through a situation. The implements of big data will inevitably evolve and new technologies will replace the ones listed here. But if you’re equipped with a natural desire to know and a bulldog-like determination to find solutions, then you’ll always have Big Data or Data Analytics job offers waiting for you.

For more jobs in Big Data or Data Analytics please check out some of our latest jobs here. 

 

Filed Under: Career Advice Tagged With: Analytics, Big, big data, data, data analyst, IT, jobs, jobs in big data, programming, Software

6-STEP Guide on Transitioning from Excel to ERP

September 6, 2016 by Julie McGrath

Transitioning from Excel spreadsheets to an ERP system can be daunting. These tips will help ensure the process goes smoothly.

Spreadsheets are cheap, easy to manage and can accommodate many different types of data. Therefore, it’s no surprise that, according to reports, 71 percent of companies still rely on spreadsheets as a pose to ERP for budgeting and planning. For many small businesses, spreadsheets are a system of first choice when just starting out.

However, something happens when your business matures and becomes more successful. As an organization grows, so much data is generated that it makes manipulating figures and creating accurate financial statements a time-consuming and error-prone task when using spreadsheets.

The biggest problem with spreadsheets is often their isolation from the rest of the enterprise, making collaboration fraught with challenges. Data cannot be automatically or even easily incorporated in the system. Even when it is, it is nearly impossible to prevent multiple versions of the same data from distorting results.

Most organizations accept that spreadsheets are going the way of landlines, encyclopedias and floppy disk drives. However, after making this tough decision, businesses face a challenging prospect: how to get all that data from Excel and into their ERP software of choice. Modern-day ERP offers some powerful tools for seamless integration – and the resulting solution is well worth the time and effort.

Here are six tips for making your transfer from spreadsheets to ERP as easy and painless as possible.

1. Evaluate Your Current Data Processes

When businesses have used the same systems for years, they can fall into a pattern of habituation, where tasks and reports become automatic, filled out without much thought to their need and use. Only when an issue with an internal procedure/process arises does a system get reevaluated and updated.

The transition from a system of Excel spreadsheets to an ERP solution can be an ideal time to take another look at the processes your business has in place. Evaluate what information you currently gather, how that information is used and what additional information would be beneficial. The added capabilities provided by ERP systems can also provide you with a new lens through which to consider your current processes — and may unearth new procedures you wouldn’t have considered otherwise.

2. Determine if You Need All the Data

In addition to reviewing processes and procedures, take a closer look at historical data and consider how often it gets used – and what might no longer be needed. Determining a specific date and only transferring files from after this date can optimize the process and save a lot of time and energy. You can always go back and add additional data if needed.

Speaking with an expert who has experience in this area can be helpful, as they will already understand potential pitfalls and help you avoid them. Check with other business owners in your circle who may have already completed their own transitions, or ask the companies you are considering purchasing your system from for references.

3. Break Data up into Sections

Just like anything else in business, you need a plan to be successful when transitioning data over to a new finance system. Decide if it makes more sense to attempt a mass transition, or a slow and gradual process. Keep in mind that most companies benefit from a gradual process, but there are instances where a quicker transition might be the better option. An example of this would be if the data is used regularly and needs to be accessible in its entirety, even during the transition.

Make a list of the milestones you need to achieve. Include steps like picking out the right product, testing the system and training end users. This list will ease some of the stress associated with the migration.

4. Choose ERP Product Based on Your Specific Needs

Before choosing an ERP solution, you need to understand all of your options, both customized and out-of-the-box solutions. First, however, you should understand which kind of systems your organization needs. Once you have this information, it will be easier to compare software programs and choose the right solution.

For example, a company that outsources its marketing functions may have little use for an ERP that prioritizes marketing. However, that same company may thrive on the increased knowledge it has from automated financial reports that highlight just where improvement is needed and which areas of the business are performing best.

It sounds like a no-brainer, but when making a decision, pick a finance system that meets your exact needs. Try not to make any assumptions at this stage in the process, as the answer to a quick question can often change the direction that your company chooses to go in. It is important to uncover what exactly each vendor offers and how it could benefit your company’s operations. There are many systems out there capable of managing your finance system, but powerful capabilities are only beneficial if they can be directly applied to your business.

5. Prepare Your Team

Most likely, you aren’t transitioning to a new financial system alone. Consider how you want to prepare your team to help in the transition. You have two types of people to prepare as part of your transition: team members who will help you migrate your information, and end users of the software programs selected. Get feedback from both of these groups on what they need out of the new system early in the process so they remain more invested over the long run.

Regardless of how you choose to transition the data over, allow extra time in your plans. Something unexpected may come up and you don’t want to be caught off guard. By anticipating that the project may take a little extra time and preparing your team for this, you may be pleasantly surprised with an earlier-than-planned finish.

6. Remember Long-term Benefits of ERP

It is easy to forget the reasons why you are transitioning to a new system in the middle of the process and instead be caught up in the ups and downs of day-to-day work, that, let’s be honest, can be tedious and challenging when working on a full data transfer. Whenever you question if the process is worth it, try to take a step back and remember all of those benefits of switching to a new accounting system, including increased accuracy, better analytics and a streamlined business process. Encourage the rest of the team to do this as well.

In Conclusion

Setting out to implement a new ERP solution, especially when it comes to your business’ financials, is a daunting task. However, by approaching the task with the right mindset — and a few industry tips — you can reduce stress and minimize the time it takes to be up and running with a new system. Organizations that go beyond spreadsheets are able to make faster and better decisions by reducing manual routine work and human error.

Are you already familiar with Enterprise Resource Planning strategies? Looking at taking the next step in your career within the ERP Business Analytics sector? Why not check out our latest job role by clicking here!

 

Filed Under: Career Advice, Latest Industry News Tagged With: Analytics, Big, data, enterprise, ERP, excel, Infrastructure, microsoft, Planning, process, Resource, Software, transition

Cloud Competition: Amazon vs Google vs Microsoft

August 12, 2016 by Julie McGrath

With Amazon, Google and Microsoft all reporting strong growth on the back of cloud, we take a closer look at how they have achieved it

The grip that Amazon Web Services (AWS) has on the infrastructure-as-a-service (IaaS) market can make it hard for even relatively big players to get a look-in when enterprise CIOs shop around for cloud services.

Microsoft has managed to hold its own, with the help of its Azure platform, by focusing on convincing its existing base of on-premise enterprise customers to ditch their own servers and use its cloud infrastructure.

It is a strategy that appears to be working very well for Microsoft. Its fourth-quarter 2016 financial results saw the Azure cloud division emerge as one of the company’s best-performing business initiatives, with revenue growth of 102%.

In recent years, the company has also publicly committed to matching AWS on price for various commodity cloud services, which has been a useful marketing tactic.

For instance, every time Amazon decides to publicly announce a price cut for any of its cloud infrastructure services, Microsoft grabs the opportunity to crowbar its way into that narrative and announce a price cut of its own.

This has helped to create the impression that the IaaS market is something of a two-horse race between AWS and Microsoft, which is an image Google has been working hard to dispel since late 2015 when it appointed former VMware co-founder, Diane Greene.

A Google board member since 2012, Greene was appointed to oversee the running of Google’s newly-converged cloud services business, bringing the product, engineering, sales and marketing efforts of its off-premise infrastructure and software initiatives under one roof for the first time.

Unified approach

The move was comprehensively referenced during a conference call to discuss Alphabet, Google’s parent company, and its 2016 second-quarter results, with CEO Sundar Pichai, who described how taking a more unified approach to cloud was opening doors for it in the enterprise.

“It’s a big set of changes, and it’s obviously having an impact,” said Pichai on the call transcribed by Seeking Alpha.

“So for me, I see a shift to a world-class enterprise approach, and it’s definitely having an impact on the type of conversations we are having and the outcome of the RFPs [requests for proposals] we are engaged in.”

Proof of that is evident in some of the high-profile contract wins Google has secured this year with the likes of music-streaming site Spotify and Apple.

To keep up this momentum, the company outlined the steps it has taken to increase its headcount across several areas of the business, including its cloud division, with more than 2,460 recruits taken on in the previous quarter.

Google vs AWS

At present, Alphabet does not provide a breakdown within its financial results of the cloud’s contribution to its wider business, which banked a profit of $4.9bn against revenues of $21.5bn in Q2.

Instead, it is reported as “other revenue”, which means the performance of Google’s converged cloud unit is muddied because its figures are lumped in with those for Google Play and the company’s hardware ventures.

Even so, this part of its business brought in revenue of $2.2bn, up 33% on the year before.

It is currently unclear just how big Google’s cloud business is, but there is no denying that AWS has the upper hand, based on its financial results, which were released the same day.

The activities of AWS alone brought in $2.9bn in revenue for its parent company, Amazon.com. This figure is 58% higher than that for the same quarter a year ago, and equates to about 9% of Amazon’s total sales.

During a conference call to discuss the results, also transcribed by Seeking Alpha, the senior management team at AWS said the work being done behind the scenes to improve the efficiency of its infrastructure was having a positive impact on its revenue generation.

Datacentre footprint

The company is also currently building out its datacentre footprint across the globe in response to customer concerns about latency, data sovereignty and security, and this looks set to bring a fresh tranche of users on board, it said.

Brian Olsavsky, chief financial officer at Amazon.com, said: “When we expand geographically, existing customers will run more of their workloads on AWS. Sometimes they have local latency concerns or security issues that require them to run things in their country, so that helps.

“We also open up to new customers when we add these regions, and it is certainly an exciting investment for our customer base.”

In view of Google’s and Microsoft’s attempts to become even bigger thorns in the side of AWS, the company is in no danger of overlooking the competitive threat either of these rivals pose to its market-leading position in the cloud.

Particularly, as Olsavsky referenced elsewhere during the results call, there is a strong chance that AWS, Google and others will find their services being used by the same customers as enterprises move to adopt a multi-cloud approach in their IT environments.

“We have been in this business longer than anyone,” he said. “Having said that, there is plenty of room for multiple suppliers in this business.

“What we focus on is innovating on behalf of customers and expanding our geographic footprint to make our services more widely available.”

In a briefing note following the recent wave of financial results, Kate Hanaghan, research director at analyst house TechMarketView, said AWS clearly continues to lead the way in the cloud market.

“We know more about the performance of AWS than its competitors,” she said. “Google’s cloud revenue is buried, and while we know Microsoft’s Azure revenue was up 102% in its last quarter, this was from an unknown base.

“Our view is that AWS is growing at a slower rate in the UK specifically. That said, AWS is outpacing the market and most of the other players.”

– Caroline Donnelly

Filed Under: Latest Industry News Tagged With: aws, Big, business, Cloud, data, google, Infrastructure, microsoft, service, web

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