Introduction
Big data beginnings
New big data approaches
Big data challenges
Data lakes
Data platforms
AI and ML
Business Use Cases
Conclusion
AI and ML
–
AI and ML are the next disruptors in big data technology. With AI and
ML, computers can recognize
the content of images, transcribe spoken
language, read texts, and understand the sentiment of social media
responses. Where data platforms were at first tools to simply collect data
of
all types, with
AI and ML
they can now understand the stored data and
use that to initiate actions or support decisions.
The integration of AI and ML into data platforms has enabled many new
use cases that were never achievable previously.
Data scientists spend
39%
of their time
curating and preparing data before it can be used.
Data platforms
–
Remember
transactional databases
and
data warehouses
? They continue to
be core building blocks for managing structured data for most companies.
But now data lakes with unstructured data are also
becoming critical as more
companies leverage their unstructured data for business insights. Increasingly,
companies are looking at databases, data warehouses, and data lakes as equal
components of their entire data estate. Integrated
management across these
silos is required for comprehensive management and analytics across all of a
company’s data.
That’s what a
data platform
offers. A data platform combines the best features
of transactional databases and data warehouses
with the best features of
data lakes. A data platform will reduce data redundancy, eliminate the costs
of maintaining multiple data storage systems, support a wide variety of
workloads, and improve data security.
A data platform’s modern, open architecture can
store and process all of
an organization’s data, including structured and unstructured data, while
enabling users to access information more quickly and start putting it to
work. Organizations use data platforms to capture, manage,
and analyze data in real
time to improve customer
experience, reduce fraud, and speed up time to market.
