A distinguished media business concentrating on information technology, Info World is acknowledged for holding its annual awardees on the most pioneering and innovative technologies. This year 2017, a groundbreaking list of technologies are back to enter the limelight again. Advanced, inventive, productive — these technologies indeed, deserve to reap satisfactory awards and above all, worthy to reach into the public eye.
The fascinating Databricks
Originated by the makers of Apache Spark, Databricks aims to assist customers with cloud-based big data processing through the use of Spark. It is a prominently unified approach for engineering, business, and science and data analytics. It promotes acceleration in productivity, innovation and offers a collaborative workspace. Besides, it’s highly optimized not just in performance, compatibility and usability but also in terms with security. It also provides unified platforms, affluent built-in libraries, and far-reaching contributors and organizations for a more comprehensive computation and learning. Databricks can build Industry solutions, help your group in becoming experts at Apache Spark, deliver suitable benefits, perform blazing and strong analytics, and give tight support in your data warehousing and more.
Wide-ranging voice service
Developed by Amazon, Alexa is a smart voice service proficient in providing competencies to customers and their interaction with devices. With Alexa, users are able to work with devices intuitively, which brings skills that include voice interaction, setting alarms or timers, music playbacks, delivering news, traffic, and weather information, streaming podcasts and more. A prolific intelligent personal assistant, Alexa is highly adaptive and beneficial to developers, which helps in building different voice experiences, reaching diversified customers and in building with AVS and ASK for free. In addition to that, Amazon’s clever voice assistant, Alexa, is assembled in the cloud so the services given are expected to be constantly growing in high performance.
Fast and extensive learning
TensorFlow is used by numerous renowned companies for its wide-scoped system. Originally advanced by engineers as well as researches who work on Google Brain Team that is purposive to neural networks research and machine learning, it is celebrated as an open source software library. Mainly for numerical computation, TensorFlow use data flow graphs and designed in a supple architecture that enables users to arrange computations to more than one GPUs or CPUs in one server, desktop and etc. The graph edges signify the multidimensional data arrays while the nodes found in the graph symbolize mathematical processes linked between them. TensorFLow is a fast-paced, scalable, reliable and flexible library efficient for production and study.
Direct and reliable accessibility
Using CUDA, customers can send C, C++ as well as Fortran code directly to GPU without requiring any assembly language in a fast parallel processing and gradual learning curve for easier access and usage in GPU resources. Created by NVIDIA, it allows dramatic escalations in computing performances through the harness of the graphics processing unit’s power. It is a parallel computing platform and likewise a programming model. CUDA also has a Toolkit that’s advantageous in your applications’ performance and enables software engineers & developers to utilize a CUDA- enabled GPU. Such platform provides straight access to the GPU’s elements and instruction set.
Google Cloud Bigtable
For massive workload capacity
Principally aimed to handle enormous workloads at high throughput and low latency or at any application type, Cloud Bigtable is a NoSQL Big Data database service yielding superior performance on operational and analytical assignments. Cloud Bigtable can be used as a fast and highly- effective storage engine for throughput-intensive data processing, low-latency, large-scale applications and more. It can keep up with millions of operations per second without any downtime during reconfiguration so it’s expected to experience a smooth and unified scaling performance. Running large applications here is greatly reliable and speedier. Additionally, Cloud Bigtable ensures that all data from users is encrypted either in an in-flight or at rest conditions.
Inclusive data structure store
An open source part of BSD licenses, Redis is an in-memory data structure store, which is broadly used as a message broker, database and caches. Working with an in-memory dataset, it performs an outstanding service, which can intensively support data structures including bitmaps, lists, geospatial indexes, strings, hyperloglogs, hashes, sorted sets with range queries, and sets. Redis has an automatic dividing with Redis Cluster and offers great accessibility by means of Redis Sentinel. Apart from that, it also has a built-in replication, transactions, LRU eviction, Lua scripting as well as dissimilar levels of on-disk persistence and other expedient features such as Pub/Sub and Automatic failover.
Building a reliable mobile app
Visual Studio Code
For a well-designed, consistent editor experience
A lightweight and functional source code editor, Visual Studio Code proffers support for code refactoring, debugging, snippets, syntax highlighting, embedded Git control, and intelligent code completion. With IntelliSense, you can exceed syntax highlighting and autocomplete as it delivers intelligent completions, which are largely based on imported modules, variable types and function definition. It is also highly customizable, allowing users to change keyboard shortcuts, editor’s theme as well as preferences and features lots of extension services choices essential for the speed performance of your editor. Developed by Microsoft, Visual Studio Code has built-in Git commands wherein you can create commits, review stage files and diffs directly from the editor. Here, users can work from any SCM service with full and convenient usability. It is based on Electron and is free and open-source.