Skip to main content

The Lumia 640XL

Over the long weekend I got a Nokia Lumia 640XL phone. I decided to graduate to the new ridiculously large screen size phone after sticking with the more manageable screen sizes of the iPhone 5 and its predecessors. I would have stayed within the iOS/Android eco-systems, but I wanted to give a Windows phone a try, and see why the platform has not been successful in the past.


The phone is nice and relatively inexpensive ($240 without a contract), with a ridiculous screen size, great graphics and battery life. The screen size is a blessing when reading emails, Kindle books, and surfing the Internet, and I believe my usage has increased accordingly. The screen is sharp, and the sound quality of calls is great.


With heavy email and web browsing the battery lasted 2 days. The phone comes with crippled memory though (8GB which used be good, but after years of using iOS phones, it is not enough). Luckily the phone is expandable through Micro SD cards, and a 128 GB MicroSD would set you back around $70 from Amazon.


Windows phones have some usability idiosyncrasies compared with their iOS counterparts, and I am not sure if these are because of patents, or design choices. One is killing applications in the app center, where instead of swiping up as in iOS, you swipe down, and the other is the excessive reliance on the back button instead of swiping left to go back except in Internet Explorer. I also found that loading up web sites in IE takes a longer time unlike Safari or Chrome.


And despite the minimal set of apps that I use, I was surprised to see that a few of them were not available for Windows. For the platform to become successful, the Windows store has to attract a whole lot of developers than it has done so far, and perhaps that's the plan in Windows 10. For now since I rely a lot on my phone for work, I'll stick with the official 8.2 builds instead of trying a preview one until I hear what other people's experiences are.

Comments

Popular posts from this blog

Kindle Paperwhite

I have always been allergic to buying specialized electronic devices that do only one thing, such as the Kindle, the iPod, and fitness trackers. Why buy these when technology evolves so fast that a multi-purpose device such as the phone or a smart watch can eventually do the same thing, but with the convenience of updates that fix bugs and add functionality? So, I was shocked when this weekend I made an impulse buy and got the newest Kindle Paperwhite—a special purpose device for reading eBooks. I was walking past the Amazon store in the mall and saw that the newest Kindle Paperwhites were marked down by $40 for the holidays. The device looked good in the display, so I went in to look at it closely. The Paperwhite is small and light, with a 6” screen that is backlit and waterproof.   The text was crisp and readable, and in the ambient light, it felt like I am reading a printed book. I was sold and bought it on the spot. At home I have struggled to put it down. The bo...

A paper a day keeps the doctor away: NoDB

In most database systems, the user defines the shape of the data that is stored and queried using concepts such as entities and relations. The database system takes care of translating that shape into physical storage, and managing its lifecycle. Most of the systems store data in the form of tuples, either in row format, or broken down into columns and stored in columnar format. The system also stores metadata associated with the data, that helps with speedy retrieval and processing. Defining the shape of the data a priori, and transforming it from the raw or ingestion format to the storage format is a cost that database systems incur to make queries faster. What if we can have fast queries without incurring that initial cost? In the paper " NoDB: Efficient Query Execution on Raw Data Files ", the authors examine that question, and advocate a system (NoDB) that answers it. The authors start with the motivation for such a system. With the recent explosion of data...

A paper a day keeps the doctor away: MillWheel: Fault-Tolerant Stream Processing at Internet Scale

The recent data explosion, and the increase in appetite for fast results spurred a lot of interest in low-latency data processing systems. One such system is MillWheel, presented in the paper " MillWheel: Fault-Tolerant Stream Processing at Internet Scale ", which is widely used at Google. In MillWheel, the users specify a directed computation graph that describe what they would like to do, and write application code that runs on each individual node in the graph. The system takes care of managing the flow of data within the graph, persisting the state of the computation, and handling any failures that occur, relieving the users from that burden. MillWheel exposes an API for record processing, that handles each record in an idempotent fashion, with an exactly once delivery semantics. The system checkpoints progress with a fine granularity, removing the need to buffer data between external senders. The authors describe the system using the Zeitgeist produ...