Category Archives: Big Data

The Internet of Things outlook for 2014: Everything connected and communicating

The Internet of Things is more than Internet-connected refrigerators and shoes that tweet; it’s a new wave of enabling devices to become more ‘intelligent’ and our chance to become better informed about our businesses and the world around us.

By Ken Hess for Consumerization: BYOD | January 10, 2014 — 13:00 GMT (21:00 GMT+08:00) | Topic: Tapping M2M: The Internet of Things

Kevin Ashton, a British technology pioneer who co-founded the Auto-ID Center at MIT, which created a global standard system for RFID and other sensors, coined the phrase “Internet of Things” back in 1999. His Internet of Things (IoT) is a system where the Internet is connected to the physical world via ubiquitous sensors. And sensors can be any device that gathers data and reports that data to a data collection facility such as a data warehouse, a database, or log server.

IoT isn’t just a fancy buzzword that describes how your refrigerator can let you know when you need to replace your spoiling milk or your rotting vegetables (although it can), it is so much more. How much more is only left to your imagination and to your budget. You can do as little or as much with IoT as you want. For example, if you operate food distribution business, you could install sensors in your trucks that send temperature, humidity, and dock-to-dock travel times back to your home office for analysis. You can also more accurately track the exact expense required to deliver each food product or container to the customer.

The Internet of Things is not just about gathering of data but also about the analysis and use of data.

My best example of gathering and analysis of IoT data is the first instance of such a system: The Coke Machine at Carnegie-Mellon University’s Computer Science department, also known as the Internet Coke Machine.

One of the computer science students in 1982, David Nichols, had the original idea to poll the Coke machine so that he didn’t waste a trip to the machine to find it empty. He and a group of fellow students (Mike Kazar (Server Software), David Nichols (Documentation and User Software), John Zsarnay (Hardware), Ivor Durham (Finger interface) together to create this now famous connected vending machine.

From their labs, they could check the status of the sodas in the vending machine. I’m pretty sure they didn’t realize the international effect this would someday have when they devised their plan. Nor did they realize that anyone beyond themselves would care*.

It doesn’t matter that they were trying to save steps or that they were only trying to monitor the status of their favorite bubbly beverages**. But what really matters is that they did it. And they used the data. Their little experiment changed the way we look at “things” and the data that they can produce.

But serious IoT is coming to the world in a big way and has far reaching implications for big data, security, and cloud computing.

Big Data

So called “big” data is a buzzword that seems to eminate from the most unusual places these days. Mostly from the mouths and fingertips of people who haven’t a clue of what it means. What IoT means for big data is that the data from all these “things” has to be stored and analyzed. That is big data. If you look at some of the projections for the next few years, you’ll have an idea of what I mean.

Internet-connected cars, sensors on raw food products, sensors on packages of all kinds, data streaming in from the unlikeliest of places: restrooms, kitchens, televisions, personal mobile devices, cars, gasoline pumps, car washes, refigerators, vending machines, and SCADA systems for example will generate a lot of data (big data).


Lots of devices chattering away to centralized databases also means that someone needs to watch the machine-to-machine (M2M) communications. Security is a major issue with IoT. However, several companies including Wind River have made great advances in IoT and M2M security.

Unfortunately, security for IoT is multilayered and expensive to implement. Strong security must exist in the three vulnerable layers: physical, network, and data. By physical, I mean the device itself must be secured with locks, tamper-proof housings, alarms, or out-of-reach placement. Physical security is a primary problem with IoT. Devices that are easily stolen or broken into pose the biggest threats.

Network communications must be secured by VPN or other form of encryption. Man-in-the-middle attacks are common for such devices and manufacturers need to make it difficult for would be attackers.

Data security poses a problem as well. First, there’s “data at rest” that’s stored locally on the device. Compromise of this information could proved detrimental to the rest of the network because it could reveal other device locations, network topology, server names, and even usernames and passwords. All data at rest should be encrypted to prevent this type of breach.

Second, there’s “data on the move” or “data in motion” which is covered in part by encrypted communications but what happens to the data after it lands on a target device, such as a data center server is also important. And the transfer of that data across a network should also be encrypted.

Encrypted devices, encrypted communications over the entire data path, and hardened physical devices make it very difficult to extract value from any recovered information. In fact, the purpose of this multilayered security is to make it far more expensive to glean usable data than the data itself would yield to the criminal or malicious hacker.

Cloud Computing

You might wonder how cloud computing fits into the IoT world because in the years before cloud computing we did just fine by having our devices report directly to a home server. Nowadays there’s so much more data to deal with from disparate sources that cloud computing can play a significant role in IoT scenarios.

For example, if you have a chain of restaurants spread out over a wide geographic area or worldwide, then your data streams in on a continuous basis. There’s never a good time for taking your services offline for maintenance. This is where cloud computing comes to the rescue.

Your ‘things’ can collect data 100 percent of the time with no breaks in service. If you purchase cloud storage, you can filter the data for extracted offload at your convenience. To me, IoT and cloud computing are the perfect technology marriage.

You won’t have to keep your ear too close to the ground in 2014 to hear about IoT. If you do, you’re just not listening. IoT isn’t a marketing term or tech buzzword, it’s a real thing. You should learn about it and how it can help your company learn more about itself. Seriously.

If you’re losing money on a particular part of your business, then IoT might resolve it for you with better controls, better tracking, and better reporting. Should security, big data, and the cloud computing connection prove to be too overwhelming for you, connect up with a company that knows something about IoT. And if you still don’t know where to start, just ask me by using the Author Contact Form.

What do you think about IoT and what it can do for your company? Talk back and let me know.

*If you care, you can read the recollected story from David Nichols and others.

**Admittedly, it would have been cool to do this with a Coke machine but it would have been far more enticing to me, if they’d also hooked up the snack machine to check the availability of Rice Krispies treats or gum. I love gum. I’m a gum freak. You’ve never seen anyone chew gum like I chew gum. I hope no one ever places gum on the list of endangered things. I might go unhappily extinct.

Apa itu Big Data Indonesia?

Berbicara teknologi memang tidak pernah ada matinya. Bagi Anda yang setia mengikuti perkembangan teknologi saat ini, mungkin cukup familiar dengan istilah Big Data Indonesia. Apakah Anda sudah familiar dengan istilah tersebut? kira-kira apa manfaat yang diberikan sehingga big data begitu booming? dan siapa yang sudah menggunakan dan merasakan manfaatnya?

Pengertian Big Data Indonesia

Dalam dunia teknologi, big data berarti terobosan baru yang berkaitan dengan mengolah, menyimpan, dan menganalisis data dalam berbagai format, dimana jumlah data yang diolah, disimpan dan di analisis sangatlah besar dan data yang bertambah dengan cepat.

Dari istilahnya, Anda bisa memprediksi apa yang ada di dalamnya, yaitu data yang serba besar, dan melalui proses simpan, olah, dan analisis yang cepat. Dibandingkan dengan database sebelumnya, sebut saja MySQL, Big data Indonesia lebih unggul secara kapasitasnya.

Ada tiga kriteria data yang masuk dalam Big Data Indonesia, yaitu:

  • Dari segi jumlah atau volumenya, tentu sangat besar. Adapun total ukuran data yang masuk biasanya dalam ukuran terabytes dan selebihnya.
  • Bicara velocity atau pertumbuhan data dalam Big Data Indonesia, sangat cepat. Data bertambah dengan sangat cepat dan dalam kurun waktu yang relatif singkat.
  • Dari segi format data yang masuk cukup beraneka ragam. Data tersebut adalah mulai dari data tabel, text, excel, dan beragam jenis format yang lain.

Tiga kriteria data tersebut selalu ada dalam Big Data Indonesia. Dari segi kuantitasnya sangat banyak, dari segi velocity data sangat cepat, dan dari segi varietas datanya sangat bervariasi. Untuk jenis data dengan kriteria tersebut, cocok sekali jika menggunakan Big Data Indonesia.

Manfaat Big Data Indonesia

Dari deskripsi Big Data Indonesia di atas? Beberapa manfaat yang bisa Anda dapatkan dengan menggunakan aplikasi ini adalah:

  • Mampu menyuguhkan gambaran data yang lebih lengkap dibandingkan dengan aplikasi sebelumnya dengan jenis data yang biasa diolah adalah data terstruktur. Anda tidak perlu membagi data yang masuk ke dalam beberapa aplikasi karena kuantitasnya yang cukup banyak, atau karena ragamnya yang bervariasi. Kesatuan data yang utuh bisa Anda temukan disini.
  • Beberapa data yang masuk dapat digunakan untuk merancang strategi pemasaran yang bagus sehingga meningkatkan omset perusahaan. Misalnya, data yang Anda dapatkan dari facebook atau social media yang lain akan diolah dengan rigid oleh Big Data Indonesia. Bagaimana tingkah laku dan respon konsumen, apa saja produk yang mendapatkan respon positif dan sebagainya. Dari situ, pihak perusahaan menghubungkan tingkah laku calon konsumen dengan database relasional yang sudah ada. Dari Sini, akan ditemukan strategi, dan solusi untuk perkembangan perusahaan selanjutnya.
  • Big data Indonesia siap dimanfaatkan untuk berbagai bidang. Mulai dari bisnis, pemerintahan, perbankan, dan sebagainya. Dalam bidang pemerintahan, big data dimanfaatkan untuk mempercepat pengambilan keputusan, monitoring, dan evaluasi.

Hingga kini, pemanfaatan big data Indonesia dalam bidang pembangunan masih kurang maksimal. Ini dikarenakan kurangnya para ilmuwan yang sanggup mengadopsi kecanggihan teknologi ini sehingga pemanfaatannya di bidang ini terhambat. Walau begitu, ada cukup banyak instansi pemerintahan yang sudah memanfaatkan kecanggihan teknologi yang satu ini. Dengan Big data Indonesia pekerjaan akan semakin cepat selesai, data yang masuk beragam dan dalam jumlah yang besar, serta perubahan data yang cepat pun bisa diproses dengan cepat pula.

Source: Soltius