Tech talk

A large fraction of big data projects fail to deliver return of investment, or take years before they do so. The reasons are typically a combination of project management, leadership, organisation, available competence, and technical failures. In this presentation, I will focus on the technical aspects, and present the most common or costly data engineering mistakes that I have experienced when building scalable data processing technology over the last five years, as well as advice for how to avoid them. The presentation includes war stories from large scale production environments, some that lead to reprocessing of petabytes of data, or DDoSing critical services with a Hadoop cluster, and what we learnt from the incidents. EVENT: #bbuzz 2018 SPEAKER: Lars Albertsson PERMISSIONS: Original video was published with the Creative Commons Attribution license (reuse allowed). CREDITS: Original video source: https://www.youtube.com/watch?v=mv7PL...

1 Java The Java programming Language is a general purpose, concurrent,Strongly typed, Class Based Object Oriented Language.it is normallly compiled to the bytecode instruction set and binary format Defined in the Java virtual Machine Specification. The latest version is java 10 released on march 20, 2018 . WHAT is Java? Java Powers Our Digital World Java is the heart of our digital lifestyle.It's the platform for lanuching careers,exploring human-to-digital interface, architeching the world's best applications,and unlocking innovation everywhere-from garages to global organizations. 5 million students study java 15 billion devices run Java 10 m illion Java developers worldwide #1 platform for development in the cloud  z java power the Biggest Technology f   mobile,web apps.the internet of things.Big data .machine learning cloud platform and cloud infrastructure .the next big things are here now,and java is at the center of them all. wh...

This session showcases the latest advances in JavaScript testing and introduces you to The Intern, an open source testing framework. The Intern is the test runner of choice in projects at companies including SitePen, Mozilla and Stripe. It enables testing of any JavaScript code and works well with Travis CI, Sauce Labs, and other tools. The talk will include several examples, starting from basic jQuery sites to large modular web applications.

In this talk I'll show you different algorithms that I've been researching for Javascript and NodeJS finally diving into neural networks using SynapticJS.

MicrosoftML (MML) is a new machine learning package for Microsoft R Server. Microsoft R Server brings you the ability to do parallel and chunked data processing that addresses the restrictions of in-memory open source R. MML adds Microsoft's battle-tested algorithms and data transforms that are used by product teams across Microsoft. This brings new machine learning functionality with increased speed, performance and scale, especially for handling a large corpus of text data and high-dimensional categorical data. MML includes the ability to: Create text classification models for problems such as sentiment analysis and support ticket classification. Train deep neural nets in order to solve complex problems such as retail image classification and handwriting analysis. Work with high-dimensional data for scenarios like online advertising click-through prediction. Solve many other common machine learning tasks such as churn prediction, loan risk analysis, and demand forecasting ...

Take your Excel skills to the next level! We show you how to collaborate in Excel and increase your productivity in the cloud. Learn how to create an Excel workbook, save it to OneDrive, use formulas and functions, and visualize your data in charts and graphs. See how to insert PivotTables and learn how to access Excel from your Windows, iOS, or Android device. These questions — and more — are discussed during this session: [ 02:03 ] Create an Excel workbook [ 03:43 ] Work with your data [ 15:21 ] Use Excel functions [ 28:36 ] Build charts and tables [ 40:06 ] Store securely to OneDrive [ 42:04 ] Share and collaborate

You have a data lake and you’re worried about drowning in it. This talk will address solutions and process for using what data you’ve collected effectively with your team and the rest of the organization. Practical and hands-on lessons covering the glamorous and not-so-glamorous next steps. You’ve collected a ton of data and it’s just sitting there. You want to use it but where do you start? This talk will give you map so you can navigate your unique situation by asking and answering questions such as: What kind of data do you have and why does it matter? What things will come back to bite you if you don’t consider them up-front? What does collaboration that rocks look like? What problems will you run into and what strategies are useful for troubleshooting them? How do you choose what to do first? Why is interdisciplinarity important? Once it works, how do you automate it

Microsoft R Server 9.1.0, Microsoft's R distribution with added big-data, in-database, and integration capabilities, is released in April 2017 and is available for download. The release has several exciting features, including new machine-learning capabilities to support text and image processing and improved operationalization. The update includes new functionality to MicrosoftML. This package provides state-of-the-art, fast and scalable machine learning algorithms for common data science tasks including featurization, classification and regression. Some of the new functions include: Added support for most MRS platforms including Spark, , and Linux Out of the box image featurization with several deep neural pre-trained models Easy to use sentiment analysis functionality Support for Ensembling and parallel learning Improved operationalization on web and SQL

Why is Bootstrap one of the most widespread and influential JavaScript frameworks? For starters, it’s an intuitive and versatile open source framework for organizing content on a page and building UIs. Join developer Adrian Leven as he steps through five top Bootstrap questions and concepts to explain some of the tips, tricks, and pitfalls that every front-end developer should know before they start using it. Begin with an overview of what Bootstrap is, and then dive into how to center an element both vertically and horizontally. From there, look at how to maintain consistent height between your columns, discover the significance of the sr-only tag, and explore the various sizings that are specified within the framework’s grid system. Get started with Bootstrap today! 1 | Question 1: What is Bootstrap? Learn what Bootstrap is, and get the details on this web framework. 2 | Question 2: How can I center an element vertically and horizontally? Learn how to center an element vertica...

Bring your slideshow to life with PowerPoint! We show you how to use PowerPoint and share presentations in the cloud. Find out how to make a PowerPoint template, create presentations, design interactive content with Office Mix, and save it all to OneDrive. Learn how to access PowerPoint from your Windows, iOS, or Android device. These questions — and more — are discussed during this session: [ 01:49 ] Create a PowerPoint presentation [ 04:04 ] Add slides and content [ 32:17 ] Transitions and Animations [ 43:42 ] Include speaker notes [ 46:36 ] View in Slide Show mode [ 49:06 ] Move to OneDrive [ 51:53 ] Share and collaborate

Optimizations in Syntax Highlighting Visual Studio Code version 1.9 includes a cool performance improvement that we've been working on and I wanted to tell its story. TL;DR  TextMate themes will look more like their authors intended in VS Code 1.9, while being rendered faster and with less memory consumption. Syntax Highlighting Syntax Highlighting usually consists of two phases. Tokens are assigned to source code, and then they are targeted by a theme, assigned colors, and voilà, your source code is rendered with colors. It is the one feature that turns a text editor into a code editor. Tokenization in VS Code (and in the  Monaco Editor ) runs line-by-line, from top to bottom, in a single pass. A tokenizer can store some state at the end of a tokenized line, which will be passed back when tokenizing the next line. This is a technique used by many tokenization engines, including TextMate grammars, that allows an editor to retokenize only a small subset of the line...