iOS App Dev

iOS App Dev


7 Interesting Big Data Projects You Need To Watch Out

Big Data is the buzzword today. When harnessed wisely Big Data holds the potential to transform organisations for the better drastically. And the wave of change has already started – Big Data is rapidly changing the IT and business sector, the healthcare industry, as well as academia too. However, the key to leveraging the full potential of Big Data is Open Source Software (OSS). Ever since Apache Hadoop, the first resourceful Big Data project came to the fore, it has laid the foundation for other innovative Big Data projects.

According to Black Duck Software and North Bridge’s survey, nearly 90% of the respondents maintain that they rely on open source Big Data projects to facilitate “improved efficiency, innovation, and interoperability.”  But most importantly, it is because these offer them _“freedom from vendor lock-in; competitive features and technical capabilities; ability to customise; and overall quality.”  _

Now, let us check out some of the best open source Big Data projects that are allowing organisations not only to improve their overall functioning but also enhancing their customer responsiveness aspect.

#big data #applications #data #data sciences #tools

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7 Interesting Big Data Projects You Need To Watch Out
 iOS App Dev

iOS App Dev


Your Data Architecture: Simple Best Practices for Your Data Strategy

If you accumulate data on which you base your decision-making as an organization, you should probably think about your data architecture and possible best practices.

If you accumulate data on which you base your decision-making as an organization, you most probably need to think about your data architecture and consider possible best practices. Gaining a competitive edge, remaining customer-centric to the greatest extent possible, and streamlining processes to get on-the-button outcomes can all be traced back to an organization’s capacity to build a future-ready data architecture.

In what follows, we offer a short overview of the overarching capabilities of data architecture. These include user-centricity, elasticity, robustness, and the capacity to ensure the seamless flow of data at all times. Added to these are automation enablement, plus security and data governance considerations. These points from our checklist for what we perceive to be an anticipatory analytics ecosystem.

#big data #data science #big data analytics #data analysis #data architecture #data transformation #data platform #data strategy #cloud data platform #data acquisition

Ian  Robinson

Ian Robinson


Managing the Big Data Project – Lifecycle, Approach, Team Composition, Pitfalls

Managing the Big Data project

Everything ‘expands’ in a Big Data project. There are many more decision points, even before you draw the first entity in your ERD design tool. A typical IT lifecycle, of any type, consists of

Analysis (“You start coding and I’ll go upstairs and see what the business wants”);
Design (“Is this a pattern that has previously been designed?”)
Coding (“Is this a pattern that has previously been coded?”)
Testing (“Have we used tests like these, before?”)
Feedback (all positive, right?)
All of the above happens in Agile development as well as in Waterfall development, but for this discussion, I’ll ignore the details of Agile work sessions.
Let’s dive in the detailed lifecycle about Big Data projects

#big data #big data & technology #big data analysis #big data project #software testing #managing the big data project

Gerhard  Brink

Gerhard Brink


Top 5 Exciting Data Engineering Projects & Ideas For Beginners [2021]

Data engineering is among the core branches of big data. If you’re studying to become a data engineer and want some projects to showcase your skills (or gain knowledge), you’ve come to the right place. In this article, we’ll discuss data engineering project ideas you can work on and several data engineering projects, and you should be aware of it.

You should note that you should be familiar with some topics and technologies before you work on these projects. Companies are always on the lookout for skilled data engineers who can develop innovative data engineering projects. So, if you are a beginner, the best thing you can do is work on some real-time data engineering projects.

We, here at upGrad, believe in a practical approach as theoretical knowledge alone won’t be of help in a real-time work environment. In this article, we will be exploring some interesting data engineering projects which beginners can work on to put their data engineering knowledge to test. In this article, you will find top data engineering projects for beginners to get hands-on experience.

Amid the cut-throat competition, aspiring Developers must have hands-on experience with real-world data engineering projects. In fact, this is one of the primary recruitment criteria for most employers today. As you start working on data engineering projects, you will not only be able to test your strengths and weaknesses, but you will also gain exposure that can be immensely helpful to boost your career.

That’s because you’ll need to complete the projects correctly. Here are the most important ones:

  • Python and its use in big data
  • Extract Transform Load (ETL) solutions
  • Hadoop and related big data technologies
  • Concept of data pipelines
  • Apache Airflow

#big data #big data projects #data engineer #data engineer project #data engineering projects #data projects

Big Data Consulting Services | Big Data Development Experts USA

Big Data Consulting Services

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#big data consulting services #big data development experts usa #big data analytics services #big data services #best big data analytics solution provider #big data services and consulting

Silly mistakes that can cost ‘Big’ in Big Data Analytics

Big Data has played a major role in defining the expansion of businesses of all kinds as it helps the companies to understand their audience and devise their business techniques in accordance with the requirement.

The importance of ‘Data’ has been spoken very highly in the modern-day business. Thus, while using big data analysis, the companies must keep away from these minor mistakes otherwise it could have a major impact on their performances. Big Data analysis can be the silver bullet that can answer your questions and help your business to scale newer heights.

Read More: Silly mistakes that can cost ‘Big’ in Big Data Analytics

#top big data analytics companies #best big data service providers #big data for business #big data technology #big data mistakes #big data analytics