Smart Data Collective

JUNE 4, 2021

What is data science? Data science is analyzing and predicting data, It is an emerging field. Some of the applications of data science are driverless cars, gaming AI, movie recommendations, and shopping recommendations. These data models predict outcomes of new data. Where to start?

Data Science 104

Data Science Statistics Deep Learning Machine Learning 104

Cloudera

AUGUST 26, 2021

awsAccessKey=s3-spark-user/HOST@REALM.COM. Data processing and visualization. The post Apache Ozone Powers Data Science in CDP Private Cloud appeared first on Cloudera Blog. In a secure cluster, the following command is run to generate user specific credentials as any authenticated user. import boto3. s3 = boto3.resource('s3',

Data Science 109

Data Science Forecasting Metadata Machine Learning 109

AWS Big Data

AUGUST 3, 2023

A database replication service such as AWS Database Migration Service (AWS DMS) can replicate the data from your source systems to Amazon Simple Storage Service (Amazon S3), which commonly hosts the storage layer of the data lake. Then we can query the data with Amazon Athena visualize it in Amazon QuickSight.

Data Lake 82

Data Lake Visualization Dashboards Insurance 82

Cloudera

JUNE 26, 2023

Here are some tips and tricks of the trade to prevent well-intended yet inappropriate data engineering and data science activities from cluttering or crashing the cluster. For data engineering and data science teams, CDSW is highly effective as a comprehensive platform that trains, develops, and deploys machine learning models.

Testing 75

Testing Data Processing Visualization Data Science 75

datapine

MARCH 31, 2022

On the flip side, if you enjoy diving deep into the technical side of things, with the right mix of skills for business intelligence you can work a host of incredibly interesting problems that will keep you in flow for hours on end. Visualizations are the best tools to make trends and general insights understandable. BI developer.

Business Intelligence 239

Business Intelligence Statistics Visualization Data-driven 239

CIO Business Intelligence

NOVEMBER 21, 2023

After all, 41% of employees acquire, modify, or create technology outside of IT’s visibility , and 52% of respondents to EY’s Global Third-Party Risk Management Survey had an outage — and 38% reported a data breach — caused by third parties over the past two years.

IT 137

IT Risk Cost-Benefit Risk Management 137

DataRobot

MAY 11, 2021

It 10x’s our world-class AI platform by dramatically increasing the flexibility of DataRobot for data scientists who love to code and share their expertise across teams of all skill levels. At DataRobot, we have always known that data science is a team sport. Data Exploration, Visualization, and First-Class Integration.

Data Science 98

Data Science Cost-Benefit Data Processing Modeling 98

AWS Big Data

MAY 4, 2023

The Amazon Sustainability Data Initiative (ASDI) uses the capabilities of Amazon S3 to provide a no-cost solution for you to store and share climate science workloads across the globe. Amazon’s Open Data Sponsorship Program allows organizations to host free of charge on AWS.

Data Processing 98

Data Processing Metadata Informatics Interactive 98

Insight

MAY 8, 2019

In an ideal world, data scientists would focus their time on analysis and modeling, but there is often seemingly unavoidable overhead in visualizing and presenting their results. When you inevitably want your app hosted on the internet, your options, for the most part, fall into two buckets: Managed services (e.g.

Data Processing 72

Data Processing Testing Data Science Visualization 72

datapine

MAY 21, 2019

These benefits include cost efficiency, the optimization of inventory levels, the reduction of information waste, enhanced marketing communications, and better internal communication – among a host of other business-boosting improvements. Easy drag and drop interfaces require little training and no prior data analysis or SQL skills.

Business Intelligence 183

Business Intelligence Cost-Benefit Dashboards ROI 183

Data Science 101

AUGUST 31, 2023

We’re just big fans of effortless team collaboration It’s a dev tool designed to enhance distributed software development by providing a collaborative and visual tool for managing complex system architectures. Contrary to what the name suggests @trymultiplayer is not a gaming software company!

Testing 116

Testing Marketing Software Data Processing 116

Domino Data Lab

JULY 10, 2019

This blog also provides code examples with a Jupyter notebook that you can download or run via hosting provided by Domino. Practitioner Tip #2 – The command-line calls for visualizations can be difficult to use on some systems. Getting the visualizations to display can be a frustrating exercise. Ludwig design principles.

Deep Learning 110

Deep Learning Visualization Recreation/Entertainment Data Processing 110

DataKitchen

FEBRUARY 21, 2023

Overview of Gartner’s data engineering enhancements article To set the stage for Gartner’s recommendations, let’s give an example of a new Data Engineering Manager, Marcus, who faces a whole host of challenges to succeed in his new role: Marcus has a problem. Shouldn’t Marcus consider upgrading his technology? A better ETL tool?

Data-driven 130

Data-driven Testing Risk Cost-Benefit 130

IBM Big Data Hub

APRIL 18, 2024

According to Andreessen Horowitz (link resides outside IBM.com ) , in 2023, the average spend on foundation model application programming interfaces (APIs), self-hosting and fine-tuning models across surveyed companies reached USD 7 million. Example: A student is struggling with a complex math concept.

Cost-Benefit 95

Cost-Benefit Modeling Manufacturing Interactive 95

O'Reilly on Data

DECEMBER 12, 2019

Security vulnerabilities : adversarial actors can compromise the confidentiality, integrity, or availability of an ML model or the data associated with the model, creating a host of undesirable outcomes. The study of security in ML is a growing field—and a growing problem, as we documented in a recent Future of Privacy Forum report. [8].

Machine Learning 191

Machine Learning Modeling Testing Risk Management 191

datapine

APRIL 14, 2022

After all, these are some pretty massive industries with many examples of big data analytics, and the rise of business intelligence software is answering what data management needs. However, the usage of data analytics isn’t limited to only these fields. Download our free summary outlining the best big data examples!

Big Data 244

Big Data Recreation/Entertainment Analytics Data-driven 244

Cloudera

NOVEMBER 27, 2017

The company was in the very early stages of its big data journey at the time, but the BU had already successfully piloted a use case involving geolocation and device data. The executive sponsor leveraged that quick win to build a vision for how data and analytics could transform the entire company.

Big Data 41

Big Data Data-driven Visualization Data Processing 41

Alation

FEBRUARY 20, 2020

REFLECTIONS FROM THE GARTNER BI & ANALYTICS SUMMIT I hate to admit that the last time I attended the Gartner BI & Analytics Summit, Howard Dresner was still the host. Alation helps analysts find, understand and use their data. Everything you need to do to prepare for analysis before data transformation and visualization.

Scorecard 52

Scorecard ROI Data-driven Visualization 52

DataRobot Blog

OCTOBER 28, 2018

Hosted in New Orleans at the massive. by Jen Underwood. Tableau’s right place, right time, right solution market momentum continues to fuel what seems to be unstoppable growth over the past five years. Read More.

Data Processing 64

Data Processing Marketing Machine Learning Data Science 64

Perceptual Edge

NOVEMBER 13, 2017

One of the most popular shows in the early years of television was hosted by Art Linkletter, which included a segment called “Kids say the darndest things.” My conversations with the authors of data visualization research studies have often featured shocking statements that would be amusing if they weren’t so potentially harmful.

Recreation/Entertainment 55

Recreation/Entertainment Visualization Statistics Data Processing 55

Domino Data Lab

APRIL 3, 2019

The top three items are essentially “the devil you know” for firms which want to invest in data science: data platform, integration, data prep. Data governance shows up as the fourth-most-popular kind of solution that enterprise teams were adopting or evaluating during 2019. Rinse, lather, repeat.

Data Governance 84

Data Governance Machine Learning Metadata Big Data 84

DataKitchen

APRIL 13, 2021

DataOps needs a directed graph-based workflow that contains all the data access, integration, model and visualization steps in the data analytic production process. It orchestrates complex pipelines, toolchains, and tests across teams, locations, and data centers. Meta-Orchestration . DevOps Infrastructure Tools.

Testing 300

Testing Machine Learning Consulting Data Quality 300

CIO Business Intelligence

AUGUST 5, 2022

Data visualization definition. Data visualization is the presentation of data in a graphical format such as a plot, graph, or map to make it easier for decision makers to see and understand trends, outliers, and patterns in data. Maps and charts were among the earliest forms of data visualization.

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Visualization Dashboards Statistics Business Intelligence 143

Domino Data Lab

JUNE 10, 2020

Today, we announced the latest release of Domino’s data science platform which represents a big step forward for enterprise data science teams. Domino’s best-in-class Workbench is now even more powerful for data scientists.

Data Science 82

Data Science Enterprise Experimentation Modeling 82

Domino Data Lab

MARCH 6, 2019

Niels Kasch , cofounder of Miner & Kasch , an AI and Data Science consulting firm, provides insight from a deep learning session that occurred at the Maryland Data Science Conference. Outlook, with Justin Leto, Big Data & AI: State of the Industry, Labor Trends and Future Outlook. Introduction.

Deep Learning 55

Deep Learning Data Science Machine Learning Modeling 55

Data Science 101

NOVEMBER 8, 2023

What type of data science work did you do? I was definitely more in the analytics space than I ever was the data science space specifically. There’s a whole host of research out there about how much higher the bar often has to be for women to be promoted than men. I did mine through UCSD Extension.

Data Science 59

Data Science Visualization Management Data Processing 59

CIO Business Intelligence

JANUARY 20, 2023

But the benefits of BI extend beyond business decision-making, according to data visualization vendor Tableau , including the following: Data-driven business decisions: The ability to drive business decisions with data is the central benefit of BI.

Business Intelligence 144

Business Intelligence Dashboards Data mining OLAP 144

DataRobot Blog

JANUARY 10, 2023

ML model builders spend a ton of time running multiple experiments in a data science notebook environment before moving the well-tested and robust models from those experiments to a secure, production-grade environment for general consumption. 42% of data scientists are solo practitioners or on teams of five or fewer people.

Experimentation 52

Experimentation Machine Learning Data Science Modeling 52

Domino Data Lab

MAY 8, 2019

The lens of reductionism and an overemphasis on engineering becomes an Achilles heel for data science work. Instead, consider a “full stack” tracing from the point of data collection all the way out through inference. ML model interpretability and data visualization. Let’s look through some antidotes.

Machine Learning 105

Machine Learning Data Science Modeling Visualization 105

Domino Data Lab

JUNE 2, 2019

Co-chair Paco Nathan provides highlights of Rev 2 , a data science leaders summit. We held Rev 2 May 23-24 in NYC, as the place where “data science leaders and their teams come to learn from each other.” If you lead a data science team/org, DM me and I’ll send you an invite to data-head.slack.com ”.

Data-driven 110

Data-driven Data Science Machine Learning Modeling 110

AWS Big Data

OCTOBER 18, 2023

With Amazon Redshift, you can build lake house architectures and perform any kind of analytics, such as interactive analytics , operational analytics , big data processing , visual data preparation , predictive analytics, machine learning , and more. Select Redshift data agent , then choose OK. to indicate local host.

Analytics 99

Analytics Data Warehouse Testing Dashboards 99

Alation

JANUARY 17, 2023

Powered by cloud computing, more data professionals have access to the data, too. Data analysts have access to the data warehouse using BI tools like Tableau; data scientists have access to data science tools, such as Dataiku. Better Data Culture. Good data warehouses should be reliable.

Data Warehouse 52

Data Warehouse Cost-Benefit Data Transformation Data Science 52

datapine

OCTOBER 14, 2020

Visualizing the data and interacting on a single screen is no longer a luxury but a business necessity. They enable you to easily visualize your data, filter on-demand, and slice and dice your data to dig deeper. Maps are important data visualizations and at datapine, we love utilizing them in our dashboards.

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Dashboards Interactive Reporting KPI 235

AWS Big Data

DECEMBER 18, 2023

AWS Step Functions is a fully managed visual workflow service that enables you to build complex data processing pipelines involving a diverse set of extract, transform, and load (ETL) technologies such as AWS Glue , Amazon EMR , and Amazon Redshift. There are multiple tables related to customers and order data in the RDS database.

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Metadata Visualization Data Lake Data-driven 123

CIO Business Intelligence

AUGUST 15, 2023

Whether a project aims to improve suicide prevention using data science or to create new revenue streams by reimagining an organization’s core business, CIO 100 Award winners demonstrate the innovative spirit of today’s IT in the face of rapidly evolving organizational challenges.

IT 98

IT Manufacturing IoT Cost-Benefit 98

Domino Data Lab

JULY 9, 2019

Chris Wiggins , Chief Data Scientist at The New York Times, presented “Data Science at the New York Times” at Rev. Wiggins also indicated that data science, data engineering, and data analysis are different groups at The New York Times. Session Summary. Transcript. Feel free to email me.

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Data Science Machine Learning Advertising Modeling 112

AWS Big Data

MARCH 26, 2024

You can use the same capabilities to serve financial reporting, measure operational performance, or even monetize data assets. Strategize based on how your teams explore data, run analyses, wrangle data for downstream requirements, and visualize data at different levels.

Data Strategy 71

Data Strategy Strategy Data Warehouse Prescriptive Analytics 71