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Building an E-commerce Scraper

In this sponsored post, we sit down with Aleksandras Šulženko, Product Owner at Oxylabs.io, to discuss the past, present, and future of web scraping. He has been involved with both the technical and business side of automated collection for several years and has helped create some of the leading web scraping solutions on the market such as the E-commerce Scraper API, dedicated to collecting external publicly available data from e-commerce websites.

insideBIGDATA Guide to Government

This white paper from Dell Technologies and AMD examines big data analytics projects in government and recommends 15 lessons government agencies can learn. Big data is big business, particularly in the government sector. According to market researchers at IDC, worldwide spending on big data and business analytics solutions grew 10.1% in 2021 to total an estimated $215.7 billion. And a lot of that spending came from the public sector as the government was among the top six industries for overall expenditures related to big data analytics.

10 Must-Have Capabilities of an Enterprise AI Platform

[SPONSORED POST] With the ten must-have capabilities of an Enterprise AI platform outlined in this paper from Veritone, organizations can position themselves for rapid adoption of AI and ML at scale without requiring custom “from-scratch” model development, extensive AI expertise, or single-model dependency. Data-driven organizations use AI and ML, either natively within applications or infused into applications, to obtain better insights into the content that drives their business and automate content-centric processes for greater efficiency. But the proliferation of AI projects, ML models, APIs, and data sets to enable these processes present serious challenges that stand in the way of successful AI and ML deployments.

The Powerful Combination of Cloud Data Engineering and Analytics Automation

In this sponsored post, our friends over at Trifacta discuss how unlocking the value from data – whether it is in the cloud or on premises – remains out of reach to many. According to an Alteryx-commissioned survey by YouGov, only 12% of workers reported having the benefit of driving business-changing outcomes through self-service analytics. 

insideBIGDATA Guide to How Data Analytics is Transforming Healthcare – Part 3

[Sponsored Post] This technology guide, “insideBIGDATA Guide to How Data Analytics is Transforming Healthcare,” sponsored by Dell Technologies, provides an overview of some of the trends influencing big data in healthcare, the potential benefits, likely challenges, and recommended next steps. If your organization is one of the many that is still in the early stages of implementing its big data analytics strategy, you likely have many questions answered with this new guide.

insideBIGDATA Guide to How Data Analytics is Transforming Healthcare – Part 2

[Sponsored Post] This technology guide, “insideBIGDATA Guide to How Data Analytics is Transforming Healthcare,” sponsored by Dell Technologies, provides an overview of some of the trends influencing big data in healthcare, the potential benefits, likely challenges, and recommended next steps. If your organization is one of the many that is still in the early stages of implementing its big data analytics strategy, you likely have many questions answered with this new guide.

Key Trends in 2022 for Organizations to Improve Data Literacy

In this sponsored post, our friends over at Trifacta suggest that intriguing data questions are inherently interdisciplinary. As business leaders look to data-driven decision-making in 2022 and beyond, they must continue to make strides organization-wide in data literacy, or even simply make more individuals comfortable with data. Ultimately, decision-makers need to interpret and use data in a meaningful way to drive the business forward.

insideBIGDATA Guide to How Data Analytics is Transforming Healthcare

[Sponsored Post] This technology guide, “insideBIGDATA Guide to How Data Analytics is Transforming Healthcare,” sponsored by Dell Technologies, provides an overview of some of the trends influencing big data in healthcare, the potential benefits, likely challenges, and recommended next steps. If your organization is one of the many that is still in the early stages of implementing its big data analytics strategy, you likely have many questions answered with this new guide.

insideBIGDATA Guide to Computer Aided Engineering – Part 2

[SPONSORED POST] The essential first step for manufacturers is to consider how much data the enterprise has at its disposal. Most manufacturers collect vast troves of process data but typically use it only for tracking purposes, not as a basis for improving operations. The challenge is for these players to invest in the systems and skillsets that will allow them to enhance their use of existing process statistics. This Guide, “insideBIGDATA Guide to Computer Aided Engineering,” sponsored by Dell Technologies, will walk through some of the ways to expand the scope of analytics to further increase business value.

insideBIGDATA Guide to Computer Aided Engineering

[SPONSORED POST] The essential first step for manufacturers is to consider how much data the enterprise has at its disposal. Most manufacturers collect vast troves of process data but typically use it only for tracking purposes, not as a basis for improving operations. The challenge is for these players to invest in the systems and skillsets that will allow them to enhance their use of existing process statistics. This Guide, “insideBIGDATA Guide to Computer Aided Engineering,” sponsored by Dell Technologies, will walk through some of the ways to expand the scope of analytics to further increase business value.