Perficient

FEBRUARY 28, 2023

In blog 2 of our data lakehouse blog series , we discussed how Perficient’s Healthy Lakehouse solution accelerates time and cost to value, and can help crack the code to success in delivering solutions. Next, we’d like to share some real-life examples of projects and solutions we’ve executed with our clients.

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Healthcare Technical Review AWS Analytics 64

Datavail

SEPTEMBER 2, 2021

But, there are many players in the data analytics market. Governance and Risk Issues. Virtually every company has governance issues they need to address. You’ll need to determine how to structure the data to answer those types of questions. Guiding Your Organization Through the BI Maturity Stages.

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Apps Associates

MAY 18, 2021

Performing analytics on the data was possible but took a long time and was mostly done in batch (using map reduce routines written in Java). Although on-premises Hadoop clusters ushered in the era of Big Data and supported data use cases that previously were not possible, many of these systems proved to be costly and cumbersome to maintain.

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Altexsoft

APRIL 5, 2021

In recent history, the unprocessed and raw information that we call data has gained an increasing amount of traction due to companies realizing its potential. For a layman, this is exactly what started the buzz around big data. Only useable for data-oriented developers or analysts. Want to write an article for our blog?

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Company Data Technical Review Analysis 78

CTOvision

OCTOBER 18, 2013

With the continuous development of advanced infrastructure based around Apache Hadoop there has been an incredible amount of innovation around enterprise “Big Data” technologies, including in the analytical tool space. H2O by 0xdata brings better algorithms to big data. Mike really nailed it with that one.

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Gorilla Logic

MAY 19, 2021

Not surprisingly, the skill sets companies need to drive significant enterprise software builds, such as big data and analytics, cybersecurity, and AI/ML, are among the most competitive. Some of the most common include cloud, IoT, big data, AI/ML, mobile, and more. Skill shortages can delay project kickoffs and delivery.

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Perficient

MARCH 14, 2023

Blog Series Recap We have put together a blog series building off the webinar and going more in-depth about Perficient’s Healthy Lakehouse solution. You can find the full blog series, here.

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Data Healthcare AWS Analytics 64

Cloudera

NOVEMBER 19, 2020

November 15-21 marks International Fraud Awareness Week – but for many in government, that’s every week. From bogus benefits claims to fraudulent network activity, fraud in all its forms represents a significant threat to government at all levels. The Public Sector data challenge. Modernization has been a boon to government.

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Government Artificial Inteligence Machine Learning Data 120

Cloudera

SEPTEMBER 12, 2018

AbbVie, one of the world’s largest global research and development pharmaceutical companies, established a big data platform to provide end-to-end operations visibility, agility, and responsiveness. Modern Data Warehousing: Barclays (nominated together with BlueData ). Technical Impact. Enterprise Machine Learning: .

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Artificial Inteligence Data Machine Learning Pharmaceuticals 45

Cloudera

AUGUST 31, 2021

Today, modern data warehousing has evolved to meet the intensive demands of the newest analytics required for a business to be data driven. Traditional data warehouse vendors may have maturity in data storage, modeling, and high-performance analysis. Migration of historical data from EDW Platform.

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Data Analytics Cloud Technical Review 83

Datavail

MARCH 24, 2020

Policy: The rules and regulations that control your organization’s behavior in terms of data strategy—for example, corporate governance policies or data privacy laws such as HIPAA. Technology: The technological assets and knowledge at your disposal.

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Strategy Data Policies Storage 40

Datavail

MARCH 10, 2022

In other words, 80 percent of companies’ Big Data projects will fail and/or not deliver results. There are many reasons for this failure, but poor (or a complete lack of) data governance strategies is most often to blame. Understanding Data Governance. What is Data Governance?

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Government Strategy Weak Development Team Company 40

Datavail

AUGUST 19, 2021

We’ve done a lot of research on this question, and we’ve compiled that research into a list of the most critical benefits organizations are looking for in terms of business intelligence (BI) systems that provide data analytics. Business leaders want the ability to do self-service data exploration and discovery.

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Analytics Data Business Intelligence Media 98

Datavail

JUNE 8, 2023

Data Summit 2023 was filled with thought-provoking sessions and presentations that explored the ever-evolving world of data. From the technical possibilities and challenges of new and emerging technologies to using Big Data for business intelligence, analytics, and other business strategies, this event had something for everyone.

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Database Administration Data Artificial Inteligence Analytics 52

Altexsoft

FEBRUARY 10, 2021

New approaches arise to speed up the transformation of raw data into useful insights. Similar to how DevOps once reshaped the software development landscape, another evolving methodology, DataOps, is currently changing Big Data analytics — and for the better. Create a data catalog. What is DataOps: brief introduction.

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Analytics DevOps Development Software Review 75

Dion Hinchcliffe's Web 2.0 Blog

AUGUST 31, 2011

In other words: Social analytics and social business intelligence ( my take on this.). It doesn’t have to be in our datacenter, it can be in your data center with the new data residency option (DRO) for those that store sensitive data and is compliant with many corporate and government policies.

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Social Enterprise Network Mobile 51

Cloudera

NOVEMBER 2, 2020

Correlations across data domains, even if they are not traditionally stored together (e.g. real-time customer event data alongside CRM data; network sensor data alongside marketing campaign management data). The extreme scale of “big data”, but with the feel and semantics of “small data”.

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Data Analytics Storage Big Data 97

Cloudera

JULY 9, 2018

It is cliché to discuss IT/business solutions as people, process, and technology. Some call it the “golden triangle,” but in this blog, we refer to it as the iron triangle. Since the 1960s, technology has disrupted business through the advent of computing and information management. How do I wrangle in my data science community?

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Machine Learning Artificial Inteligence Data Analytics 42

CTOvision

NOVEMBER 29, 2016

Commercial corporations in the Internet Age face endlessly growing data asset management – but traditional business technology isn’t the way to help, argues Neo Technology’s Emil Eifrem. Digital consumers are generating data at an exponential rate, via social networking, emails, blogs and smartphones. But that 2.5

Healthcare 101

Healthcare Analytics Network Media 101

Datavail

AUGUST 6, 2020

The use of business analytics is a critical component of organizations’ digital transformation initiatives. As big data continues to grow in size and complexity year after year, organizations need to efficiently cut through the massive data volumes they have on hand to find the hidden insights within.

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Analytics Cloud Disaster Recovery Business Analytics 52

Apiumhub

AUGUST 28, 2018

It is a cloud-based big data analytics platform, built to improve data-driven decision making. CaseGlide is the leading case management system for insurance companies and their attorneys to streamline collaboration, automate routine processes, and create transformative business intelligence.

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Insurance Technical Review Artificial Inteligence Policies 94

Cloudera

MAY 16, 2018

Arcadia Data partners with Cloudera to realize their shared vision of enabling subject matter experts to gain business insight from modern data platforms. The post Cross-Functional Trade Surveillance appeared first on Cloudera Blog.

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Apiumhub

APRIL 8, 2021

The people listed promote learning and the sharing of knowledge by sharing their insights through LinkedIn, Twitter, blog posts, podcasts, books, workshops, etc. Top Data Science experts you should know about. Adrian specializes in mapping the Database Management System (DBMS), Big Data and NoSQL product landscapes and opportunities.

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Sunflower Lab

APRIL 2, 2024

This isn’t just a blog post; it’s a detailed guide that CEOs, Business Analysts, and Data Scientists need to weave predictive analytics seamlessly into the DNA of their organizations using Power BI. Explore our Power BI solutions How Can Power BI Be Used for Predictive Analytics?

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