O'Reilly on Data

SEPTEMBER 19, 2023

Each time, the underlying implementation changed a bit while still staying true to the larger phenomenon of “Analyzing Data for Fun and Profit.” ” They weren’t quite sure what this “data” substance was, but they’d convinced themselves that they had tons of it that they could monetize.

Machine Learning 336

Machine Learning Testing Modeling Cost-Benefit 336

Smart Data Collective

MARCH 17, 2020

The global demand for big data is surging. Is the Booming Big Data Field Right for You? Everyone has heard about Data Science in 2020. The insights extracted from data are presented to a human in a friendly form, or a computer program uses it to make decisions without any hardcoded instructions.

Data Science 119

Data Science Big Data Machine Learning Statistics 119

AWS Big Data

NOVEMBER 21, 2024

Amazon EMR is a cloud big data platform for petabyte-scale data processing, interactive analysis, streaming, and machine learning (ML) using open source frameworks such as Apache Spark , Presto and Trino , and Apache Flink. About the Authors Garima Arora is a Software Development Engineer for Amazon EMR at Amazon Web Services.

Metrics 60

Metrics Machine Learning Strategy Big Data 60

Smart Data Collective

JULY 2, 2019

At Smart Data Collective, we strive to have a balanced conversation about the impact of big data. There are obviously a lot of beneficial changes that big data has spurred. However, big data has also created some important challenges as well, which we feel duty-bound to discuss.

Big Data 99

Big Data ROI Testing Statistics 99

Smart Data Collective

OCTOBER 21, 2021

Data security has become a greater concern than ever in recent years. There were only 662 data breaches in 2010. The rising number of data breaches has created a strong demand for data security professionals. The unfortunate truth is that we need more big data professionals than ever.

Testing 141

Testing Big Data Risk Management Risk 141

Cloudera

DECEMBER 14, 2021

Then, the company used Cloudera’s Data Platform as a foundation to build its own Network Real-time Analytics Platform (NRAP) and created the proper infrastructure to collect and analyze large-scale big data in real-time. . For this, the RTA transformed its data ingestion and management processes. .

Data Lake 111

Data Lake Machine Learning Big Data Data-driven 111

FineReport

APRIL 26, 2023

This has led to the emergence of the field of Big Data, which refers to the collection, processing, and analysis of vast amounts of data. With the right Big Data Tools and techniques, organizations can leverage Big Data to gain valuable insights that can inform business decisions and drive growth.

Big Data 52

Big Data Data Analytics Analytics Cost-Benefit 52

Smart Data Collective

APRIL 13, 2021

In the modern world of business, data is one of the most important resources for any organization trying to thrive. Business data is highly valuable for cybercriminals. They even go after meta data. Big data can reveal trade secrets, financial information, as well as passwords or access keys to crucial enterprise resources.

Testing 131

Testing Behavioral Analytics Data-driven Big Data 131

Cloudera

AUGUST 17, 2020

With the industry facing so much change, and with so many new opportunities to leverage big data, analytics and unique insights, we sat down with Vijay Raja, Director of Industry & Solutions Marketing at Cloudera to get his views on how the sector is changing and where it goes next.

IoT 96

IoT Internet of Things B2B Data-driven 96

IBM Big Data Hub

NOVEMBER 15, 2019

They were born after 2010 into a world where technology is ubiquitous.We A new generation is among us. are witnessing the birth of a new intelligent species.While all under 10 years old, Siri, Watson and Alexa have already made an impact on the world and we can imagine the potential they all have.

Technology 73

Technology 73

O'Reilly on Data

MARCH 20, 2019

Distributed systems and models : For better or worse, we live in the age of big data. Many organizations are now using distributed data processing and machine learning systems. 2010): 121-148. I’d recommend them for further reading, too. Barreno, Marco, et al. The Security of Machine Learning.” Machine Learning 81.2

Modeling 278

Modeling Machine Learning Predictive Modeling Consulting 278

IBM Big Data Hub

NOVEMBER 27, 2018

But the company’s focus on design dimmed until Phil Gilbert stepped up to the plate in 2010 and instilled design thinking throughout the company, empowering a legion of designers. IBM is well-known for its powerful legacy of design throughout the 1980s.

Analytics 71

Analytics IT 71

datapine

APRIL 16, 2019

The term ‘big data’ alone has become something of a buzzword in recent times – and for good reason. Often this is done through innovative dashboard software , visualizing once complicated tables and graphs in such ways that more people can initiate good data driven business decisions. We read about it everywhere.

Data-driven 287

Data-driven Dashboards Visualization Cost-Benefit 287

Cloudera

SEPTEMBER 8, 2020

With the industry facing so much change, and with so many new opportunities to leverage big data, analytics, and unique insights, we sat down with Vijay Raja, Director of Industry & Solutions Marketing at Cloudera to get his views on how the sector is changing and where it goes next.

IoT 70

IoT Internet of Things B2B Data-driven 70

Jim Harris

JULY 13, 2015

While a lot had changed since 2000, even as late at 2010, I concluded that most everyone was apathetic about data. The New Heroes of Big Data and Analytics” ); re-read hundreds of stories appearing in the popular press (e.g., “The The Data D. The Data D. A few, mostly in the data space.

Data Quality 56

Data Quality Data-driven Big Data Consulting 56

BizAcuity

FEBRUARY 15, 2019

With more and more information became readily available online in the mid 2000s, companies started taking advantage of it by leveraging big data analytics. Sales Analytics began to emerge as the scientific approach to selling in 2010 with sales becoming less about certain methodology or personality and more of a number game.

Sales 67

Sales Analytics B2B ROI 67

IBM Big Data Hub

APRIL 11, 2023

since 2010, on track towards our goal of 65% operational GHG emissions reduction by 2025 versus 2010. Since 2010, IBM has required first-tier suppliers to establish their own environmental management systems, as well as set quantifiable goals in the areas of energy management, GHG emissions reduction, and waste management.

Snapshot 57

Snapshot Reporting Business Objectives Software 57

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). Enterprise Repository Era” (1990–2010) – first generation DG solutions.

Machine Learning 84

Machine Learning Data Governance Metadata Data Science 84

Sisense

JUNE 9, 2021

It’s no surprise that rivals followed suit and that by 2010 analytics were widely used by top teams in leading international leagues. Like every other business, football has experienced rapid technological advances that generate and capture data from training and match play. FIFA didn’t even start counting assists until 1994 !

Analytics 98

Analytics Data-driven Internet of Things Measurement 98

BizAcuity

MAY 10, 2022

2007: Amazon launches SimpleDB, a non-relational (NoSQL) database that allows businesses to cheaply process vast amounts of data with minimal effort. An efficient big data management and storage solution that AWS quickly took advantage of. They now have a disruptive data management solution to offer to its client base.

Data-driven 52

Data-driven IoT Unstructured Data Data Lake 52

Occam's Razor

FEBRUARY 25, 2014

There are three elements to our "big data" efforts, or unhyped normal data efforts: Data Collection, Data Reporting, and Data Analysis. The big rise in digital consumption vs. 2010 is much more obvious now. More on that here: DC-DR-DA: A Simple Framework For Smarter Decisions.).

Visualization 145

Visualization Key Performance Indicator Dashboards Metrics 145

CIO Business Intelligence

DECEMBER 13, 2022

Split the data among multiple machines and create a distributed system. NoSQL (“Not only SQL”) databases were invented to cope with these new requirements of volume (capacity), velocity (throughput), and variety (format) of big data. Cassandra’s scalability was impressive, but its reliability also sets it apart among databases.

Broadcasting 59

Broadcasting Data-driven IoT Software 59

IBM Big Data Hub

APRIL 5, 2023

HR digital transformation In 2010, SingHealth needed to consolidate the disparate HR systems across its hospitals, specialty centres and polyclinics. SingHealth again turned to IBM Consulting, along with SAP Asia Pacific Japan, to build a single HR platform.

Digital Transformation 60

Digital Transformation Consulting Finance Insurance 60

Peter James Thomas

JUNE 20, 2019

Here we come back to the upward trend in searches for Data Science. It could be argued of course that this is yet another business fad (indeed some are speaking about Big Data in just those terms already [7] ), but I believe that there is more substance to the area than this. – CIO.com 2010. “61%

Cost-Benefit 55

Cost-Benefit Data Warehouse Data Science Consulting 55

The Unofficial Google Data Science Blog

JULY 22, 2020

A/B testing isn’t simple just because data is big — the law of large numbers doesn’t take care of everything! Even with big data, A/B tests require thinking deeply and critically about whether or not the assumptions made match the data. ACM, 2017. [4] 4] Audibert, Jean-Yves, and Sébastien Bubeck. and Donald B.

Experimentation 96

Experimentation Statistics Testing Knowledge Discovery 96

Smart Data Collective

AUGUST 30, 2020

One of the biggest changes of an age of technology, is the entrance of “big data” into the world, which got noticed, globally, around 2010. Co-founder and Co-director of the MIT Initiative on the Digital Economy, Andrew MacAfee once said, “The world is one big data problem.”. are still fighting the last war.

Big Data 144

Big Data Data-driven Insurance Marketing 144

The Unofficial Google Data Science Blog

MARCH 31, 2016

Far from hypothetical, we have encountered these issues in our experiences with "big data" prediction problems. Applied Stochastic Models in Business and Industry, 26 (2010): 639-658. [10] Through simulation we illustrate issues with model fitting techniques that depend on matrix factorization. 2005): 301-320. [9] 9] Steven L.

Modeling 40

Modeling Statistics Advertising Testing 40

Smart Data Collective

DECEMBER 18, 2020

A few years ago, we talked about the benefits of using AI and big data in disaster relief. Among the 115 costly catastrophes since 2010 were so-called “ 1,000-year floods ,” Category 5 hurricanes, and the most massive wildfires in history. Worsening Disasters Highlight the Need for New Assistive AI Solutions.

Cost-Benefit 117

Cost-Benefit Big Data Unstructured Data Risk 117

CIO Business Intelligence

APRIL 26, 2022

Can your team continuously compare a billion data points to answer these questions? Big data analytics can hone your focus on relevant threat intelligence. To make threat intelligence relevant and actionable, you need a big data solution. Not likely.

IT 98

IT Big Data Enterprise Risk 98

Occam's Razor

SEPTEMBER 15, 2014

In blue is how much time we spent in 2010 and in blue the time spent in 2014. was the dramatic shift between 2010 to 2014 to mobile content consumption. Upsight (nee Kontagent) provides mobile app analytics, with a pinch of advanced segmentation (including sweet cohort analysis ) and big data mining thrown in for good measure.

Metrics 143

Metrics Reporting Analytics Marketing 143

Occam's Razor

AUGUST 28, 2017

Some of you’ve heard the “hype” before and are deeply skeptical (AI went through a two decade long tundra where it failed to live up to every promise, until say 2010 or so). Surely some of you think, to put it politely, that I’m a little bit out there. I assure you, skepticism is warranted.

Deep Learning 140

Deep Learning Machine Learning Marketing Strategy 140

The Unofficial Google Data Science Blog

OCTOBER 12, 2017

There is no longer always intentionality behind the act of data collection — data are not collected in response to a hypothesis about the world, but for the same reason George Mallory climbed Everest: because it’s there. References [1] Efron, B. Large-Scale Inference: Empirical Bayes Methods for Estimation, Testing, and Prediction.

Experimentation 62

Experimentation Testing Statistics Metrics 62

O'Reilly on Data

JANUARY 25, 2021

It’s possible that AI (along with machine learning, data, big data, and all their fellow travelers) is descending into the trough of the hype cycle. It’s tempting to think of Flask and Vue as “new” platforms, but they were released in 2010 and 2014, respectively; they’ve had time to establish themselves.

Machine Learning 364

Machine Learning Software Testing Technology 364

AWS Big Data

OCTOBER 29, 2024

In recent years, as the importance of big data has grown, efficient data processing and analysis have become crucial factors in determining a company’s competitiveness. AWS Glue , a serverless data integration service for integrating data across multiple data sources at scale, addresses these data processing needs.

Visualization 100

Visualization Big Data Data Processing Machine Learning 100

Smart Data Collective

OCTOBER 16, 2022

One report shows that the number of annual data breaches increased around 60% between 2010 and 2021. There are a lot of benefits of using Security Information and Event Management (SIEM) systems to protect data from hackers. A growing number of hackers are becoming very brazen and conducting some truly frightening cyberattacks.

Data Lake 143

Data Lake Behavioral Analytics Big Data Enterprise 143

AWS Big Data

FEBRUARY 19, 2025

Big data processing and analytics have emerged as fundamental components of modern data architectures. Organizations worldwide use these capabilities to extract actionable insights and facilitate data-driven decision-making processes. Amazon EMR has long been a cornerstone for big data processing in the cloud.

Big Data 60

Big Data Optimization Strategy Data-driven 60

AWS Big Data

OCTOBER 22, 2024

He currently oversees Infor ION, a project he has been integral to since its inception in 2010 when he began as a Software Engineer. Arjan Hammink is a Senior Director of Software Development at Infor, bringing over 25 years of expertise in software development and team management.

Optimization 101

Optimization Cost-Benefit Software Strategy 101