Establish big data integration techniques and best practices
A big data integration strategy departs from traditional techniques, embraces several data processes working together and accounts for the volume, variety and velocity of data.
Share this item with your network: By Published: 23 Apr 2021
To create business value, improve analytics insights and machine learning outcomes, and maximize AI capabilities, an effective big data integration strategy is essential and may require a shift away from traditional structured data integration techniques. Not only must big data management handle the many and varied types of data collected and stored, but also the larger volumes of data that need to be integrated at a faster pace.
Ormond Beach resident Nika Hosseini knows that the mantra Anyone can make a difference” could easily be a cliche but after working to change the lives of more than 10,000 people, she’s pretty confident that it’s true.
In the past six years, over the course of getting two degrees and working a full-time job, Hosseini has completed four projects focusing on bringing clean, quality water to Ugandan villages that desperately need it.
The 26-year-old associate attorney with Cobb Cole started her first project in 2015, while completing her undergraduate degree at the University of Miami.
“I just got really tired of seeing all the problems going on around the world. There was water everywhere, but not a drop to drink,” she said. “I felt the way to make a difference instead of moping was to go ahead and do something.”
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