Commenting on Software Technology Trends & Market Dynamics

Jnan Dash

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Top Stories by Jnan Dash

Recently I read somewhere this statement – As we end 2017 and look ahead to 2018, topics that are top of mind for data professionals are the growing range of data management mandates, including the EU’s new General Data Protection Regulation that is directed at personal data and privacy, the growing role of artificial intelligence (AI) and machine learning in enterprise applications, the need for better security in light of the onslaught of hacking cases, and the ability to leverage the expanding Internet of Things. Here are the key areas as we look ahead: Business owners demand outcomes – not just a data lake to store all kinds of data in its native format and API’s. Data Science must produce results – Play and Explore is not enough. Learn to ask the right questions. Visualization of analytics from search. Everyone wants Real Time – Days and weeks too slow, need ... (more)

Serverless, FaaS, AWS Lambda | @CloudExpo #AWS #CloudNative #Serverless

If you are part of the cloud development community, you certainly know about “serverless computing,” almost a misnomer. Because it implies there are no servers which is untrue. However the servers are hidden from the developers. This model eliminates operational complexity and increases developer productivity. We came from monolithic computing to client-server to services to microservices to the serverless model. In other words, our systems have slowly “dissolved” from monolithic to function-by-function. Software is developed and deployed as individual functions – a first-class ... (more)

Data Unification at Scale | @CloudExpo #BigData #DataLake #AI #Analytics

This term Data Unification is new in the Big Data lexicon, pushed by varieties of companies such as Talend, 1010Data, and TamR. Data unification deals with the domain known as ETL (Extraction, Transformation, Loading), initiated during the 1990s when Data Warehousing was gaining relevance. ETL refers to the process of extracting data from inside or outside sources (multiple applications typically developed and supported by different vendors or hosted on separate hardware), transform it to fit operational needs (based on business rules), and load it into end target databases, more... (more)

IBM’s Big Commitment to Apache Spark | @CloudExpo #DevOps #Microservices

Last June IBM made a serious commitment to the future of Apache Spark with a series of initiatives: It will offer Apache Spark as a service on Bluemix (Bluemix is an implementation of IBM's Open Cloud Architecture based on Cloud Foundry, an open source Platform as a Service (PaaS). Bluemix delivers enterprise-level services that can easily integrate with your cloud applications without you needing to know how to install or configure them. It committed to include 3500 researchers to work on Spark-related projects. It will donate IBM SystemML (its machine learning language and li... (more)

Netflix – A Global Player | @CloudExpo #BigData #ML #IoT #InternetOfThings

Ten years ago, when I drove on Winchester Avenue in Los Gatos, I saw this new company called Netflix that was renting DVDs of movies. You didn't have to go to a store, but could sign up for home delivery service of DVDs. Now Netflix is building a much bigger headquarters near its old site. It is a huge success story – a disruption to the home entertainment business. When it decided to switch to “streaming only” a few years back, there were lot of doubters. But that’s all in the past. It is a global company now with huge success as a business. Reed Hastings, co-founder and CEO, j... (more)