Showing posts from November 30, 2015

Microsoft Dynamics CRM 2016 in our connected age

Personalization, productivity, mobility, agility and user-experience are key elements at the heart of innovation and requirements in our connected world where data is the most critical asset.
It is more and more complex to innovate in the CRM market and to bring even more value to users.
Microsoft Dynamics CRM 2016 is henceforth available! salutes this momentum (Online and on-premises) that focuses on employee’s productivity and can help companies to engage customers at the right time, in the right place and with the right content.

Big Data, analytics and high performance computing on cloud technology

The excitements at henceforth au-rendez-vous within:Research communities Global businesses Academic institutions Government agencies Small and medium enterprises In fact, thanks to, these groups and communities set are now more and more aware of the opportunities delivered in real-time by Big Data, analytics and high performance computing and cloud technologies. 
Enterprises of all sizes are driving up growth and gaining competitive advantage by integrating HPC and Big Data in their business models for a wide variety of applications.
According to Research and Markets, with an expected CAGR of 6.05% between 2015 and 2024, the global HPC technology market value is predicted to reach USD 45.81 billion by 2024. 
This predicted growth is inter alia due to the increased demand for Big Data, analytics and high performance computing on cloud technology.

Data management and storage solutions for Big Data, IoT and Cloud applications in Israel

Big Data, cloud computing and predictive analytics are dramatically changing the way we work, to be productive, generate new revenue, the way we tackle and address environmental issues and improve inter alia our healthcare and living conditions. The market for Big Data will surpass $41 billion by 2018, according to IDC and is progressively dominated by Google, Microsoft and Amazon with their respective multidimensional partners.
Enterprises of all sizes are increasingly adopting Big Data and predictive analytics in their business. salutes this momentum that leverages inter alia: the innovative culture behind the startup like, that designs solutions from the ground up to help companies and data-driven businesses to address challenges related to the adoption of Big Data and predictive analytics in their business.

Unstructured data in our connected world

Social media platforms are at the core of the digital economy in terms of business opportunities generated, data generated in real-time, in terms of technological innovation, popularity and more.
This dynamic also stimulates the soar of storage services such as storage management, deployment and support, consulting, and system integration. Researchand Markets and the market research analysts predict the global storage services market to grow at a CAGR of nearly 8% over the next four years. 
Social media platforms are creating an enormous volume of data, especially unstructured data, which cannot be organized into a specified format like databases or spreadsheets. 
For those who are unfamiliar, recalls that, Data coming from social media platforms, comments, audio files, video files, emails, and scientific data are all unstructured. While, data that can be fit together into standard file formats represent structured data.

The adoption of biometric technologies for banking purposes in our connected era

Online and mobile financial transactions increase around the world. From mature economies to emerging countries, the momentum is exciting, beyond a set of challenges related to the maturity, and criminal threats henceforth addressed head-on by streamlined technologies and approaches.
As, Biometric vendors are reporting an exciting growth due to the acceleration of consumer-led adoption of biometric authentication, at, we are proud to observe that, the adoption of biometrics for banking is resulting in a booming biometrics industry. 
According to Research and Markets, it is forecast that this adoption of biometric technology for banking purposes will contribute USD 5.5 billion to the biometrics market by 2020.

Combine logging, storage, processing and persistence into a scalable log processing approach

The dynamic behind managed services is meaning they can scale when needed; and you don't need to worry about provisioning resources up recalls that, with Processing Logs at Scale using Cloud Dataflowsolution, you can learn how to combine logging, storage, processing and persistence into a scalable log processing approach.
The reference implementation tutorial on Github is available to help deploy a complete end-to-end working example.

Log data processing with its own scaling and management challenges addressed

As you can imagine, in our connected era, Logs come from an increasing number of sources, so they can be complex to collect and query for actionable information. For those who are unfamiliar, Log processing involves some combination of the following activities: Configuring applications and servicesCollecting and capturing log filesStoring and managing log dataProcessing and extracting dataPersisting insightsScaling and management challenges, related to this landscape can hamper the access to actionable information from your log data.
Henceforth, Cloud Platform provides a number of services that can help you to address these challenges. 
Behind this momentum, we have inter alia: Cloud Logging to collect logs from applications and services, Google Cloud Storageto store; Dataflow from Cloud Storage or Pub/Sub (and many more), to process log data, extract and transform metadata and compute aggregations. BigQuery,to inter alia analyze or review anytime.

Using Google Cloud Platform and Google Cloud Dataflow to process logs from multiple sources

It is henceforth difficult to imagine our connected data-driven world without Cognitive computing; distributed computing, systems and storage.
These architectures are indispensable, complex and expensive; so welcomes the know-how behind a new solution paper and reference implementation that will show how you can process logs from multiple sources and extract meaningful information by using Google Cloud Platform and Google Cloud Dataflow.
Inter alia, you can learn how you can use Dataflow to process log data from multiple sources and ‘persist’ findings directly in BigQuery.