CIO
SEPTEMBER 14, 2023
What is a data engineer? Data engineers design, build, and optimize systems for data collection, storage, access, and analytics at scale. Data engineers also need communication skills to work across departments and to understand what business leaders want to gain from the company’s large datasets.
CIO
AUGUST 9, 2022
What is a data engineer? Data engineers design, build, and optimize systems for data collection, storage, access, and analytics at scale. Data engineers also need communication skills to work across departments and to understand what business leaders want to gain from the company’s large datasets. The data engineer role.
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TechCrunch
SEPTEMBER 15, 2022
Founded in 2013 by IIT alumni Lokesh Anand, Mayur Rustagi and Rahul Kumar Singh, Sigmoid offers analytics and AI solutions to companies around the globe. “Our focus is very heavily on the engineering data products,” said Anand. The investment giant, which unveiled $2.85 million in Sigmoid to date, according to a statement.
TechCrunch
FEBRUARY 8, 2023
Uber alums’ engineering analytics startup Hatica has raised $3.7 The San Francisco-headquartered startup aims to boost the productivity and well-being of developers by helping them better understand how they are spending their time with detailed engineering analytics.
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Discover which features will differentiate your application and maximize the ROI of your embedded analytics. Brought to you by Logi Analytics. But today, dashboards and visualizations have become table stakes.
CIO
FEBRUARY 9, 2024
Salesforce is working on adding two new prompt engineering features to its Einstein 1 platform to speed up the development of generative AI applications in the enterprise, a top executive of the company said. How do Einstein 1’s new prompt-engineering features work?
CIO
APRIL 4, 2024
At our upcoming Data, Analytics & AI Summit – a virtual event taking place April 11 – attendees will hear from CIO editors and contributors, including Paula Rooney, Lucas Merian, Issac Sacolick, and Today in Tech podcast host Keith Shaw. Interested in even more data, analytics and AI coverage? We have you covered.
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Increasingly, enterprises are leveraging cloud data lakes as the platform used to store data for analytics, combined with various compute engines for processing that data. How cloud data lake engines enable a better balance between data warehouse investments versus those in the cloud data lake
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To do so, modern enterprises leverage cloud data lakes as the platform used to store data for analytical purposes, combined with various compute engines for processing that data. Businesses today compete on their ability to turn big data into essential business insights.
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As DevOps Value Stream Management (VSM) goes mainstream, large and small organizations increasingly recognize the need to apply data analytics to manage the end-to-end software delivery process more effectively – to deliver quality software faster and more predictably.
Speaker: Dave Mariani, Co-founder & Chief Technology Officer, AtScale; Bob Kelly, Director of Education and Enablement, AtScale
Check out this new instructor-led training workshop series to help advance your organization's data & analytics maturity. Given how data changes fast, there’s a clear need for a measuring stick for data and analytics maturity. Translating DevOps principles into your data engineering process. Combining data integration styles.
Speaker: Tristan Kromer, Lean Agile Coach, Kromatic
increase isn't worth the engineering time we're spending! Some teams struggle to constantly optimize conversion rates without understanding the financial impact of those conversion rates. Sometimes that 0.1%
Speaker: Eric Feinstein, Professional Services Manager, Looker
It seems like PMs and engineers have grown to hate embedded reporting. How to evaluate embedded analytic solutions as strategy to greatly reduce initial and on-going engineering effort. For a long time, Product Managers have found it challenging to design interfaces inside their products that users could use for reporting.
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