TechCrunch
MARCH 23, 2022
At that time, the scrappy data analytics company had scooped up $3.5 million in funding to develop its tool for what happens after you’ve collected a bunch of data, namely assembling and organizing it so the data can be analyzed. Data collection isn’t the problem: It’s what companies are doing with it.
Cloudera
JULY 8, 2021
There is no one size fits all solution to creating an intentional and strategic plan for a diverse workforce. What we have created over the past year, and will continue to create, is a plan unique to Cloudera that is based on data. McGovern Foundation, to create a Data4Change Accelerator program.
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UruIT
OCTOBER 17, 2019
From our experience, we realized that there are great profiles in Bogotá with strong skills in English and technical areas we’re interested in, such as Data Engineering, UX, Devops, and Machine Learning.” Planning the Colombian expansion. says Marcelo Martinez, UruIT Colombia Country Manager.
Altexsoft
APRIL 13, 2023
For example, you’ll deal with real-time data streams if you want to adopt predictive maintenance which requires constant condition monitoring or implement an RTLS system to continuously track your handling equipment and other assets. to develop all the data architecture and analytics solutions. Data siloes.
Trigent
NOVEMBER 3, 2022
No matter how many tools emerge on the logistics landscape, data analytics in all its forms – descriptive, predictive, and prescriptive – will continue to drive strategic planning. We offer data analytics and insights to help you beat the competition and grow revenue.
Altexsoft
AUGUST 29, 2023
Instead of relying on traditional hierarchical structures and predefined schemas, as in the case of data warehouses, a data lake utilizes a flat architecture. This structure is made efficient by data engineering practices that include object storage. Watch our video explaining how data engineering works.
UruIT
OCTOBER 17, 2019
From our experience, we realized that there are great profiles in Bogotá with strong skills in English and technical areas we’re interested in, such as Data Engineering, UX, Devops, and Machine Learning.” Planning the Colombian expansion. says Marcelo Martinez, UruIT Colombia Country Manager.
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