Smart Data Collective

FEBRUARY 28, 2022

We are all in awe of the changes that big data has created for almost every industry. The implications of big data is more obvious in some industries than others. For example, we can all appreciate the tremendous changes that data science has created for the financial industry, healthcare and web design.

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Data Science 101

JULY 31, 2019

Some of the topics from the summit include: Data Science IoT Streaming Data AI Data Visualization. Here is an excerpt from the website: The public cloud has drastically changed systems design, enabled microservices, and lowered the barrier to entry for big data & analytics. I hope to see you there.

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IBM Big Data Hub

JANUARY 23, 2019

If you’re a data scientist or leading a team, Think 2019 is where you’ll want to be in February to hear success stories from clients using IBM’s data science portfolio of solutions.

Data Science 81

Data Science 81

IBM Big Data Hub

FEBRUARY 5, 2020

How has the newer data science technology such as Watson Studio, Watson Machine Learning and Watson OpenScale been picked up by the business partner community? I mentioned in our previous blog that I was pleasantly surprised at how many IBM Business Partners have established a Data Science practice.

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3AG Systems

DECEMBER 8, 2022

When the Data Scientist role “was relatively new” in 2012, the authors observed that “as more companies attempted to make sense of big data, they realized they needed people who could combine programming, analytics, and experimentation skills.”

Data Science 40

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Smart Data Collective

APRIL 11, 2019

Big data is playing a monumental role in economic development in 2019. It is being used in every industry from healthcare delivery to insurance modeling to political science. According to economic analysts, the market size for big data is currently estimated to be $203 billion. Here are some of the reasons.

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Big Data Insurance Statistics Technology 76

David Menninger's Analyst Perspectives

SEPTEMBER 13, 2019

The Oracle Analytics Summit 2019 was the inaugural user event for Oracle Analytics customers, and they also broadcast the video for thousands of others. Executives talked about some big organizational changes, including Bruno Aziza joining last year to lead the analytics organization. You can watch the keynote at [link].

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Analytics Vidhya

JANUARY 24, 2023

According to Scalegrid’s 2019 database trends report, SQL is the most popular database form, with more than 60% of its use. Introduction What kind of database did you use to build your most recent application? It is followed by NoSQL databases with more than 39% use.

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KDnuggets

DECEMBER 4, 2019

A Reality Check on #DataScience Hype; Is Data Science dying?; Indeed Fastest-Rising Tech Skills, 2018-2019; Cartoon: #Thanksgiving, Big Data, and Turkey #DataScience…. Also: WTF is a Tensor?!?;

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KDnuggets

NOVEMBER 28, 2019

A classic KDnuggets Thanksgiving cartoon examines the predicament of one group of fowl Data Scientists.

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KDnuggets

DECEMBER 19, 2019

Over the years new alternative providers have risen to provided a solitary data science environment hosted on the cloud for data scientist to analyze, host and share their work.

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Data Processing Data Science Big Data 111

Smart Data Collective

SEPTEMBER 30, 2019

Big data is making a number of cybersecurity risks worse than ever. A growing number of companies are starting to explore the need to utilize big data to enhance their digital security. They are also starting to recognize that hackers are using big data as well, so they need to monitor them carefully.

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Machine Learning Big Data Risk Interactive 71

Sisense

AUGUST 19, 2020

Disrupting Markets is your window into how companies have digitally transformed their businesses, shaken up their industries, and even changed the world through the use of data and analytics. The use of big data analytics and cloud computing has spiked phenomenally during the last decade. Ready to disrupt the market?

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Big Data Machine Learning Digital Transformation Marketing 52

KDnuggets

OCTOBER 31, 2019

Learn how to approach the challenges when merging an agile methodology into a data science team to bring out the best value your Big Data products.

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Big Data Data Analytics Analytics Data Science 59

FineReport

NOVEMBER 26, 2019

However, some people may think that they are very proficient in computer programming languages, and disdain to use Excel as a tool because Excel can’t handle big data. But think about it, do the data we use in our daily life exceed the limit of big data? The Skills That Data Analysts Need to Master.

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Sisense

JUNE 25, 2020

And these aren’t the only figures that have grown over the years: in 2019, the firm recorded its highest-ever revenue, having generated over $26.5 Invest in data, invest in your company. It’s no coincidence that this recent growth has come alongside a huge investment in data analytics. Improving traceability.

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IBM Big Data Hub

JANUARY 7, 2019

Find out more about how the IBM Data Science Elite team helped Experian succeed at better analyzing their data at Think 2019.

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Data Science 80

O'Reilly on Data

FEBRUARY 4, 2019

In a recent survey , we explored how companies were adjusting to the growing importance of machine learning and analytics, while also preparing for the explosion in the number of data sources. You can find full results from the survey in the free report “Evolving Data Infrastructure”.). Temporal data and time-series.

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Machine Learning Enterprise IoT Big Data 277

Cloudera

FEBRUARY 11, 2019

The January 2019 “Magic Quadrant for Data Management Solutions for Analytics” provides valuable insights into the status, direction, and players in the DMSA market. We recognize the following takeaways from Gartner’s 2019 MQ DMSA: 1. Cloudera’s 3 Key Takeaways.

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Cloudera

MAY 28, 2019

Cloudera customers can start building enterprise AI on their data management competencies today with the Cloudera Data Science Workbench (CDSW). Learn more about the Cloudera Data Science Workbench for the end-to-end ML workflow at our bi-weekly webinar series featuring live expert demos and Q&A. Stay tuned.

Data Science 47

Data Science Machine Learning Data Strategy Cost-Benefit 47

Rocket-Powered Data Science

MARCH 19, 2021

This article quotes an older market projection (from 2019) , which estimated “the global industrial IoT market could reach $14.2 Another dimension to this story, of course, is the Future of Work discussion, including creation of new job titles and roles, and the demise of older job titles and roles. trillion by 2030.”.

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Smart Data Collective

DECEMBER 11, 2020

Big data is changing the future of software development in countless ways. Towards Data Science talked about some of the biggest changes that big data has created in this rapidly evolving field. One of them was the shift towards all-in-one data-driven software development across various industries.

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Data-driven Software Big Data Testing 101

datapine

OCTOBER 21, 2020

Big data has changed the way we manage, analyze, and leverage data across industries. One of the most notable areas where data analytics is making big changes is healthcare. In this article, we’re going to address the need for big data in healthcare and hospital big data: why and how can it help?

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Smart Data Collective

NOVEMBER 12, 2021

Big data technology has been instrumental in changing the direction of countless industries. Companies have found that data analytics and machine learning can help them in numerous ways. However, there are a lot of other benefits of big data that have not gotten as much attention. billion outsourcing tasks in 2019.

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CIO Business Intelligence

APRIL 28, 2022

Particularly in Asia Pacific , revenues for big data and analytics solutions providers hit US$22.6bn in 2020 , with financial services companies ranking among their biggest clients. Spending on big data technology among financial services companies is expected to grow even further, with projections of 15.6%

Analytics 98

Analytics Insurance Big Data Uncertainty 98

KDnuggets

AUGUST 14, 2019

Also: Top 13 Skills To Become a Rockstar Data Scientist, Top 10 Data Science Leaders You Should Follow; What's wrong with the approach to Data Science?

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Big Data Data Science 73

Cloudera

NOVEMBER 26, 2020

To solve this problem once and for all, and provide its customers with a rapid and seamless service, the Data Enrichment team turned to big data. Automating processes to better serve customers .

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KDnuggets

JULY 30, 2019

Data Scientists need computing power. Whether you’re processing a big dataset with Pandas or running some computation on a massive matrix with Numpy, you’ll need a powerful machine to get the job done in a reasonable amount of time.

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Insight

AUGUST 8, 2019

Setting the record straight about the best program for transitioning to careers in data and tech New York Insight Fellows in June 2019 Over the past seven years, Insight has helped more than 2,000 Fellows transition into new careers in data and tech. In 2014, Insight started its first Data Engineering program.

Data Science 66

Data Science Cost-Benefit Big Data Management 66

Smart Data Collective

JUNE 17, 2019

But data conferences arguably offer some of the best opportunities to experience the most forward-thinking personalities and cutting-edge ideas in technology and data science fields. You won’t find material anywhere that’s more up-to-date than what you’ll get from presenters at data conferences.

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KDnuggets

JULY 29, 2019

Also: Convolutional Neural Networks: A Python Tutorial Using TensorFlow and Keras; Fantastic Four of Data Science Project Preparation; The Death of Big Data and the Emergence of the Multi-Cloud Era; The title CDO started out as a joke.

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Big Data Data Science 48

CIO Business Intelligence

MARCH 27, 2024

Le aziende italiane investono in infrastrutture, software e servizi per la gestione e l’analisi dei dati (+18% nel 2023, pari a 2,85 miliardi di euro, secondo l’Osservatorio Big Data & Business Analytics della School of Management del Politecnico di Milano), ma quante sono giunte alla data maturity?

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Data Governance Data Lake Data Strategy Data-driven 52

Peter James Thomas

JUNE 20, 2019

The above chart compares monthly searches for Business Process Reengineering (including its arguable rebranding as Business Transformation ) and monthly searches for Data Science between 2004 and 2019. Business Process Reengineering (BPR) used to be a big deal. The scope is worldwide. Brunel’s Heirs.

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Cost-Benefit Data Warehouse Consulting Data Science 55

Rocket-Powered Data Science

MARCH 10, 2020

In 2019, I was asked to write the Foreword for the book “ Graph Algorithms: Practical Examples in Apache Spark and Neo4j “ , by Mark Needham and Amy E. I wrote an extensive piece on the power of graph databases, linked data, graph algorithms, and various significant graph analytics applications.

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KDnuggets

JULY 26, 2019

Education, coding, SQL, big data platforms, storytelling and more. These are the 13 skills you need to master to become a rockstar data scientist.

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Big Data Data Science 122

Domino Data Lab

APRIL 3, 2019

It includes perspectives about current issues, themes, vendors, and products for data governance. My interest in data governance (DG) began with the recent industry surveys by O’Reilly Media about enterprise adoption of “ABC” (AI, Big Data, Cloud). Rinse, lather, repeat. Those are table stakes in this game.

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FineReport

DECEMBER 19, 2019

If you want to learn more about self-service BI tools, you can take a look at this review: 5 Most Popular Business Intelligence (BI) Tools in 2019 , to understand your own needs and then choose the tool that is right for you. It is a database query language for accessing data and querying, updating, and managing relational database systems.

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Knowledge Discovery Visualization Experimentation Reporting 98