Google Analytics working model

Google Analytics collects the date the moment that visitor navigates to one of the web pages in browser. Embedded within web page content, there is a small block of JavaScript code referred as GATC (Google Analytics Tracking Code)

When the visitor's browser loads the web page, it runs GATC which performs key analytics operations.  First, it loads the Google Analytics master JavaScript file (ga.js) by downloading from Google servers. This code collects data about the visitor (like browser type, version, resolution, page title, etc.) from the browser. 5 cookies (ref image) determine whether the visitor is a repeat to the site with tracking information. Finally, it transmits to the data collection server, in turn persisted as log file at Google.

During the day, Google performs the first pass of these log files on an hourly basis and then runs another more thorough reprocessing pass at the end of the day. Data sources are from raw click data and aggregated summary data in Google's big table database. End user can view the accessed report from Google Analytics web site. 

Microsoft Digital IDentity

Last couple of years, Microsoft has invested in incubating a set of ideas for using blockchain and other distributed ledger technologies to create new types of digital identities—identities that are designed from the ground up to enhance personal privacy, security, and control.

Digital IDentity (DID) will be a first-class citizen of the Microsoft identity stack.

Vision

• Every user needs a digital identity they own, that can securely and privately store all their personal data.
• This self-owned identity must be intuitive and convenient to manage, and provide complete control over how identity data is accessed and used.

Business Benefits

• Deeply engage with users while minimizing privacy and security risks
• Transact with customers, partners, and suppliers over a unified data protocol
• Improve transparency and auditability of your business operations

Microsoft's Whitepaper of DID is available at https://query.prod.cms.rt.microsoft.com/cms/api/am/binary/RE2DjfY

DataStax Enterprise 6.7

This week, DSE 6.7 has been launched with multi-workload support for operational analytics, geospatial search, increased data protection in the cloud, better performance insights, Docker production support, and connectivity to Apache Kafka.

Top-5 improvements of DataStax Enterprise 6.7 includes:

1. Production-ready Kafka and Docker integration
2. Easier, more scalable operational analytics for today’s cloud applications
3. Simplified enterprise search for geospatial applications
4. Improved data protection with smart cloud backup/restore support
5. Improved performance diagnostics with new insights engine and third-party integration

DSE 6.7 and updated versions of OpsCenter, Studio, and DSE Drivers are available for download, as is updated documentation to guide installation and upgrading.

Data sheet of DSE 6.7, is available at https://www.datastax.com/wp-content/uploads/resources/datasheets/DataStax-DS-DataStax-Enterprise-6-7.pdf

AWS CEO at ReInvent 2018

Keynote from Andy Jassy, AWS CEO, included 20 new announcements during this week's AWS ReInvent 2018.

Available Now:

1. Amazon FSx for Windows File Server – Fully-managed Windows file system on Windows native servers
2. Amazon FSx for Lustre – Fully-managed file servers for compute-intensive workloads
3. Amazon DynamoDB On-Demand – Flexible DynamoDB with no capacity planning necessary
4. Amazon Elastic Inference – GPU-Powered Deep Learning Inference Acceleration
5. Amazon SageMaker Ground Truth – Build accurate datasets and reduce costs at the same time
6. AWS Marketplace for Machine Learning – ML algorithms and model packages are now available in the Marketplace
7. Amazon SageMaker RL – Managed Reinforcement Learning with Amazon SageMaker
8. Amazon Forecast – Time series using Amazon’s forecast algorithms

Coming Soon:

1. Amazon S3 Glacier Deep Archive – New long-term data archival class for S3
2. AWS Control Tower – Automate setting up a well-architected multi-account AWS environment
3. Amazon Textract – Optical Character Recognition to extra data from most documents
4. Amazon Personalize – Real-time personalization and recommendation
5. AWS Outposts – Bringing AWS hardware and software on-premises
6. Amazon RDS on VMware – Fully-managed service for on-premises databases
7. Amazon Quantum Ledger Database – Fully-managed ledger databases
8. AWS Managed Blockchain – Managed blockchain service supporting Hyperledger Fabric and Ethereum
9. Amazon Timestream – Database service designed specifically for time-series data
10. AWS Lake Formation – Fully-managed service will help you to build, secure and manage a data lake
11. AWS Security Hub – Centrally view and manage security alerts and automate compliance checks
12. AWS DeepRacer – Go hands-on with Reinforcement Learning with the DeepRacer
    

Talend Stitch

Five years back, I came to know about Talend as open source ETL product in conjunction with Pentaho.  It was part of my earlier assignment to evluate the open source ETL product against Informatica. Talend expands its business base in greater focus.

Yday, there was an industry news that Talend is buying  Stitch, a 2-year old Philadelphia-based spinoff of RJ Metrics for $60 million in cash.

Stitch offers a cloud-based self-service offering that automates data ingestion pipelines into the cloud. It's an emerging space where the closest competitors are Alooma and Fivetran, but also where Confluent and StreamSets play. In its two years, Stitch has already built a customer base exceeding 1000 customers

Talend has not yet announced a closing date for the deal.

.NET Standard 2.1

.NET Core is the open source, cross-platform, and fast-moving version of .NET. Because of its side-by-side nature it can take changes that we can’t risk applying back to .NET Framework. This means that .NET Core will get new APIs and language features over time that .NET Framework cannot. At Build we showed a demo how the file APIs are faster on .NET Core. If we put those same changes into .NET Framework we could break existing applications, and we don’t want to do that.

The .NET Standard specification is a standardized set of APIs. The specification is maintained by .NET implementors, specifically Microsoft (includes .NET Framework, .NET Core, and Mono) and Unity. A public feedback process is used as part of establishing new .NET Standard versions through GitHub.

Since Microsoft shipped .NET Standard 2.0 about a year ago,  it’s time to update the standard to include some of the new concepts as well as a number of small improvements that make your life easier across the various implementations of .NET.

In total, about 3k APIs are planned to be added in .NET Standard 2.1. A good chunk of them are brand-new APIs while others are existing APIs that we added to the standard in order to converge the .NET implementations even further.

Announcement details are available at https://github.com/dotnet/standard/blob/master/docs/planning/netstandard-2.1/README.md

IBM RedHat

This Monday (29 Oct) IBM  announced that it would pay a record $34 billion in cash and debt to acquire enterprise open source provider Red Hat. 

Eclipsing Microsoft’s $26.2 billion acquisition of LinkedIn, this is the biggest software acquisition in history. It’s not the biggest tech acquisition ever, though, as that title belongs to Dell’s $67 billion buyout of data storage business EMC.

During RedHat Summit (May) 2018, there was a press release about long-standing relationship between IBM and Red Hat to benefit the combined power of both companies’ technologies in private and public clouds.  Ref: https://www.redhat.com/en/about/press-releases/ibm-and-red-hat-join-forces-accelerate-hybrid-cloud-adoption

https://www.redhat.com/en/about/press-releases/ibm-and-red-hat-join-forces-accelerate-hybrid-cloud-adoption