Our world is driven by data.
It may speak in whispers, but it can also scream insight and information
to those that understand it’s language. This is why I’ll be attending Strata+Hadoop
World, Sept 26th to 29th, in New York City.
Even though data can also speak many different languages, data
scientist act as our interpreters and guides.
They help us survive and thrive in this data-driven world by addressing
and taming the many business challenges it presents, including:
-
An appropriate interpretive language, be it The language itself algebraic notation, an adapted programming language or both;
- Separating the data signal from the data noise;
- The enablement of data access and data connectivity within the enterprise;
- Handling the complexity and variety of complex data which can include images, videos and abstract representations of both the physical and living world;
- Integration of the time variable into the data interpretation process;
- Security and protection of the data; and
- Collaboration with a strong and innovative technology partner.[1]
That last challenge is actually why I’m anxious to learn
more about the Trusted
Analytics Platform (TAP), open source software optimized to create
cloud-native data analytics applications. This multi-tenant platform contains
connectors for data ingestion, multiple distributed data stores, advanced
processing engines and collaborative analytics capabilities. It even includes machine learning, model
building and visualization within a multi-language application runtime
environment. This last feature enables developers and data scientists to use
the languages with which they are most familiar. At every layer of the platform,
performance optimizations maximize analytic operation speed. Data security enhancements are also embedded,
from the silicon up, to ensure protection of both the data and processing.
Instead of starting from scratch and deploying a host of
different tools, packages and services, TAP provides an extensible environment
that combines many open-source components into a single, integrated platform. This integrated architecture provides the
APIs, services and extensibility to support the needs of data scientists and
application developers for varied analytics on virtually any data, of any size,
located anywhere. It also provides management tools and services to control and
monitor operations from top to bottom.
TAP also includes a rich marketplace where tools and
services can be easily integrated and provisioned on demand. This marketplace
is accessible through a simple, browser-based interface to a purpose-built service
catalog. Application developers, data scientists and system operators all have
the flexibility to choose the tools and services that they need for ingestion,
storage or manipulation of data. In addition, system operators can add services
to the TAP Marketplace in their instance of TAP, which saves time by
eliminating the need to identify and curate key tools and libraries. All of
this is done in a secure and collaborative high performance environment. A
growing number of organizations support, use and contribute to TAP in order to
address many use cases like:
-
Customer behavior analysis using wearable IT systems;
- Tracking disease progression and treatment;
- Asset management using RFID data;
- Equipment failure prediction and optimization using sensor data; and
- Privacy-preserving genomic analysis using diverse distributed data sets.
Join me in New York next week at Strata+Hadoop World to
learn more. To prepare, you can read TAP documentation and code at https://github.com/trustedanalytics
, visit their public Jira at https://trustedanalytics.atlassian.net
or contact them directly at trustedanalytics@gmail.com.
[1] https://dzone.com/articles/challenges-of-bigdata
( This content is being syndicated through multiple channels. The opinions expressed are solely those of the author and do not represent the views of GovCloud Network, GovCloud Network Partners or any other corporation or organization.)
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