Domino Data Lab

OCTOBER 7, 2020

Danger of Big Data. Big data is the rage. This could be lots of rows (samples) and few columns (variables) like credit card transaction data, or lots of columns (variables) and few rows (samples) like genomic sequencing in life sciences research. Statistical methods for analyzing this two-dimensional data exist.

Statistics 145

Statistics Testing Predictive Modeling Modeling 145

IBM Big Data Hub

JANUARY 10, 2023

To make it easy for clients to understand how to utilize this capability within NPS, a demonstration was created that uses flight delay data for all commercial flights from United States airports that was collected by the United States Department of Transportation (Bureau of Transportation Statistics). Prerequisites for the demo.

Data Warehouse 52

Data Warehouse Cost-Benefit Statistics Data Processing 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 127

Testing Behavioral Analytics Data-driven Big Data 127

AWS Big Data

MAY 2, 2023

To enable your users to load data from a local desktop using Query Editor V2, as an administrator, you have to specify a common S3 bucket, and the user account must be configured with proper permissions. Select Statistics update and ON , then choose Next. Refer to Data load operations for more details. Choose Load operations.

Data Warehouse 62

Data Warehouse Software Visualization IoT 62

CIO Business Intelligence

AUGUST 30, 2022

Despite an evolving internet penetration rate of 47% in 2020, according to Internet World statistics, the social use of ICTs remains the main cause of digital illiteracy in Africa. He discovered digital currencies in India in 2012 and has since been fascinated by them and has worked with them to understand what lies ahead. “I

Digital Transformation 98

Digital Transformation Strategy Statistics Data-driven 98

AWS Big Data

MARCH 12, 2024

In recent years, data lakes have become a mainstream architecture, and data quality validation is a critical factor to improve the reusability and consistency of the data. Gonzalo Herreros is a Senior Big Data Architect on the AWS Glue team.

Data Quality 97

Data Quality Measurement Testing Visualization 97

AWS Big Data

APRIL 10, 2024

Create a role in the target account with the following permissions: { "Version":"2012-10-17", "Statement":[ { "Effect":"Allow", "Action":[ "redshift:DescribeClusters", "redshift-serverless:ListNamespaces" ], "Resource":[ "*" ] } ] } The role must have the following trust policy, which specifies the target account ID.

Data Warehouse 100

Data Warehouse Analytics Metrics Snapshot 100

Sisense

DECEMBER 11, 2019

With Itzik’s wisdom fresh in everyone’s minds, Scott Castle, Sisense General Manager, Data Business, shared his view on the role of modern data teams. Scott whisked us through the history of business intelligence from its first definition in 1958 to the current rise of Big Data. A true unicorn.

Data Lake 80

Data Lake Big Data Sales Data-driven 80

Peter James Thomas

AUGUST 18, 2018

From 2000 to 2015, I had some success [5] with designing and implementing Data Warehouse architectures much like the following: As a lot of my work then was in Insurance or related fields, the Analytical Repositories tended to be Actuarial Databases and / or Exposure Management Databases, developed in collaboration with such teams.

Data Lake 63

Data Lake Data Warehouse Data mining Statistics 63

Alation

FEBRUARY 20, 2020

For those of us who champion the power of data, the past five years have been an incredible ride thanks to the rise of big data. And here’s the catch: in spite of our recent data-driven achievements, the evidence suggests that humans may well be in the dark ages of data.

Big Data 52

Big Data Data-driven Statistics Metrics 52

AWS Big Data

MARCH 21, 2024

Available metrics on the Amazon Redshift console are integration metrics and table statistics, with table statistics providing details of each table replicated from Amazon RDS for MySQL to Amazon Redshift. Choose Create policy. Choose Zero-ETL integrations in the navigation pane and choose the integration to display activity metrics.

Data Warehouse 94

Data Warehouse Metrics Statistics Optimization 94

IBM Big Data Hub

OCTOBER 12, 2023

However, AI capabilities have been evolving steadily since the breakthrough development of artificial neural networks in 2012, which allow machines to engage in reinforcement learning and simulate how the human brain processes information. Human intervention was required to expand Siri’s knowledge base and functionality.

Machine Learning 67

Machine Learning Deep Learning Interactive Modeling 67

AWS Big Data

APRIL 3, 2024

In our case, we are appending _custom to the statistic name, resulting in the following format for KPIs: Completeness_custom Uniqueness_custom In a real-world scenario, you might want to set a value that matches with your data quality framework in relation to the KPIs that you want to track in Amazon DataZone.

Data Quality 96

Data Quality Visualization Metadata Metrics 96

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. We often use statistical models to summarize the variation in our data, and random effects models are well suited for this — they are a form of ANOVA after all. Cambridge University Press, (2012). [4]

Modeling 40

Modeling Statistics Advertising Testing 40

AWS Big Data

JULY 10, 2024

On the spreadsheet-style UI, you can check the statistics of each column like Min, Median, Max, cardinality, and value distribution for a subset of the data. This provides useful insights about the data to inform transformation decisions. She is passionate about helping customers build data lakes using ETL workloads.

Interactive 99

Interactive Data Integration Visualization Statistics 99

Domino Data Lab

JULY 22, 2019

He was saying this doesn’t belong just in statistics. He also really informed a lot of the early thinking about data visualization. It involved a lot of interesting work on something new that was data management. To some extent, academia still struggles a lot with how to stick data science into some sort of discipline.

Data Science 109

Data Science Machine Learning Data Governance Modeling 109

Domino Data Lab

MARCH 3, 2019

Over the past six months, Ben Lorica and I have conducted three surveys about “ABC” (AI, Big Data, Cloud) adoption in enterprise. There are essentially four types encountered: image/video, audio, text, and structured data. Spark, Kafka, TensorFlow, Snowflake, etc., will not save you there. AutoML will not save you there.

Data Science 49

Data Science Deep Learning Machine Learning Modeling 49

Domino Data Lab

AUGUST 8, 2019

Another key point: troubleshooting edge cases for models in production—which is often where ethics and data meet, as far as regulators are concerned—requires much more sophistication in statistics than most data science teams tend to have. It’s a quick way to clear the room. machine learning?

Data Science 71

Data Science Machine Learning Data Governance Statistics 71

datapine

MAY 17, 2021

In the digital age, those who can squeeze every single drop of value from the wealth of data available at their fingertips, discovering fresh insights that foster growth and evolution, will always win on the commercial battlefield. Moreover, 83% of executives have pursued big data projects to gain a competitive edge.

Visualization 161

Visualization Data-driven Business Intelligence Metrics 161

datapine

DECEMBER 28, 2021

1) What Is A Misleading Statistic? 2) Are Statistics Reliable? 3) Misleading Statistics Examples In Real Life. 4) How Can Statistics Be Misleading. 5) How To Avoid & Identify The Misuse Of Statistics? If all this is true, what is the problem with statistics? What Is A Misleading Statistic?

Statistics 363

Statistics Advertising Visualization Data mining 363

O'Reilly on Data

MAY 21, 2019

Use ML to unlock new data types—e.g., Consider deep learning, a specific form of machine learning that resurfaced in 2011/2012 due to record-setting models in speech and computer vision. Thus, many developers will need to curate data, train models, and analyze the results of models. A typical data pipeline for machine learning.

Machine Learning 244

Machine Learning Technology Deep Learning Data Science 244

The Unofficial Google Data Science Blog

OCTOBER 12, 2017

1]" Statistics, as a discipline, was largely developed in a small data world. Data was expensive to gather, and therefore decisions to collect data were generally well-considered. Implicitly, there was a prior belief about some interesting causal mechanism or an underlying hypothesis motivating the collection of the data.

Experimentation 61

Experimentation Testing Statistics Metrics 61