AWS Big Data

APRIL 19, 2023

Many customers run big data workloads such as extract, transform, and load (ETL) on Apache Hive to create a data warehouse on Hadoop. Instead, we can use automation to speed up the process of migration and reduce heavy lifting tasks, costs, and risks. He is passionate about big data and data analytics.

Metadata 80

Metadata Testing Data Lake Consulting 80

Howard Dresner

AUGUST 27, 2013

A participant in one of my Friday #BIWisdom tweetchats observed that “in the mobile ecosystem, Big Data + social + the NSA data surveillance news are a perfect storm.” But one of the tribe tweeted that, at a minimum, the NSA storm will draw more attention to the organizational risks inherent in BYOD models.

Business Intelligence 60

Business Intelligence Finance Risk Data Processing 60

datapine

MAY 9, 2019

“Without big data, you are blind and deaf and in the middle of a freeway.” – Geoffrey Moore, management consultant, and author. In a world dominated by data, it’s more important than ever for businesses to understand how to extract every drop of value from the raft of digital insights available at their fingertips.

Business Intelligence 270

Business Intelligence Dashboards Data Warehouse Sales 270

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). We keep feeding the monster data. a second priority?at

Data Governance 84

Data Governance Machine Learning Metadata Big Data 84

Cloudera

AUGUST 6, 2018

For example, researchers from Berkeley used mobile data to predict poverty and wealth of individuals or microregions in Rwanda at a time when measuring poverty in Africa remains a challenge. In 2012 , only 25 of the region’s 48 countries had conducted at least two surveys over the past decade to track poverty.

Machine Learning 49

Machine Learning Internet of Things Cost-Benefit Data-driven 49

IBM Big Data Hub

JULY 19, 2023

Supply Chain: Demand forecasting, supply chain optimization, risk assessment and mitigation. Robustness : AI systems should be able to withstand attacks to the training data. in 10 years, from 2012 to 2022. Fairness : AI models should treat all groups equitably.

Consulting 63

Consulting Machine Learning Manufacturing Optimization 63

AWS Big Data

APRIL 3, 2024

They recognize the importance of accurate, complete, and timely data in enabling informed decision-making and fostering trust in their analytics and reporting processes. Amazon DataZone data assets can be updated at varying frequencies.

Data Quality 91

Data Quality Visualization Metadata Metrics 91

Cloudera

MAY 10, 2018

Cloudera 2017 Data Impact Award Winners. We are excited to kick off the 2018 Data Impact Awards ! Since 2012, the Data Impact Awards have showcased how organizations are using Cloudera and the power of data to transform themselves and achieve dramatic results.

Machine Learning 41

Machine Learning Predictive Analytics Data-driven Data Science 41

AWS Big Data

JUNE 29, 2023

Therefore, over time, multiple Data Definition Language (DDL) or Data Control Language (DCL) queries, such as CREATE, ALTER, DROP, GRANT, or REVOKE SQL queries, are run on the Amazon Redshift data warehouse, which are sensitive in nature because they could lead to dropping tables or deleting data, causing disruptions or outages.

Data Warehouse 60

Data Warehouse Dashboards Testing Visualization 60

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 247

Machine Learning Testing Modeling Cost-Benefit 247

Domino Data Lab

JULY 22, 2019

By virtue of that, if you take those log files of customers interactions, you aggregate them, then you take that aggregated data, run machine learning models on them, you can produce data products that you feed back into your web apps, and then you get this kind of effect in business. That was the origin of big data.

Data Science 109

Data Science Machine Learning Data Governance Modeling 109

AWS Big Data

MARCH 20, 2024

It also mitigates risks, improves scalability, and allows for advanced networking configurations. KinesisStreamCreateResourcePolicyCommand – This creates the resource policy in Account 1 for Kinesis Data Stream. We recommend using CloudShell because it will have the latest version of the AWS CLI and avoid any kind of failures.

Internet of Things 110

Internet of Things IoT Manufacturing Data Processing 110

AWS Big Data

MARCH 1, 2024

One of the bank’s key challenges related to strict cybersecurity requirements is to implement field level encryption for personally identifiable information (PII), Payment Card Industry (PCI), and data that is classified as high privacy risk (HPR). Only users with required permissions are allowed to access data in clear text.

Data Lake 102

Data Lake Data Warehouse Management Risk 102

AWS Big Data

JANUARY 22, 2024

By granting access through IAM policies on AWS Glue resources and S3 buckets, Acast provides self-serve capabilities while still governing delicate data through human review. Spyridon supports the organization in designing, implementing and operating its services in a secure manner protecting the company and users’ data.

Data-driven 88

Data-driven Advertising Metadata Data Architecture 88

Domino Data Lab

AUGUST 8, 2019

The probabilistic nature changes the risks and process required. I’d also poured over recent talks by Chris Wiggins about data and ethics. To wit: data science is a team sport. Diversity matters in data science, and is often the competitive edge for solving complex problems in business. Or something.

Data Science 71

Data Science Machine Learning Data Governance Statistics 71

Domino Data Lab

JUNE 2, 2019

ans from Nick Elprin, CEO and co-founder of Domino Data Lab, about the importance of model-driven business: “Being data-driven is like navigating by watching the rearview mirror. If your business is using big data and putting dashboards in front of analysts, you’re missing the point.”. Because of compliance.

Data-driven 110

Data-driven Data Science Machine Learning Modeling 110

IBM Big Data Hub

MARCH 29, 2024

GraphQL GraphQL is a query language and API runtime that Facebook developed internally in 2012 before it became open source in 2015. Each schema specifies the types of data the user can query or modify, and the relationships between the types. GraphQL is defined by API schema written in the GraphQL schema definition language.

Interactive 79

Interactive Digital Transformation Management Optimization 79

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.

Data Science 49

Data Science Deep Learning Machine Learning Modeling 49

AWS Big Data

APRIL 28, 2023

There is a risk that two different groups could hash to the same character combination; however, we have checked that there are no collisions in the existing groups. To mitigate this risk going forward, we have introduced guardrails in multiples places. This has shown to be sufficient for our case.

Data Governance 67

Data Governance Management Data-driven Data Lake 67

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 238

Machine Learning Technology Deep Learning Data Science 238

Sisense

JULY 23, 2021

Not only does it support the successful planning and delivery of each edition of the Games, but it also helps each successive OCOG to develop its own vision, to understand how a host city and its citizens can benefit from the long-lasting impact and legacy of the Games, and to manage the opportunities and risks created.

Unstructured Data 105

Unstructured Data Internet of Things Data-driven Data Processing 105

datapine

DECEMBER 28, 2021

Drinking tea increases diabetes by 50%, and baldness raises the cardiovascular disease risk up to 70%! Did we forget to mention the amount of sugar put in the tea or the fact that baldness and old age are related – just like cardiovascular disease risks and old age? In 2012, the global mean temperature was measured at 58.2

Statistics 363

Statistics Advertising Visualization Data mining 363

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

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. Of course, exploratory analysis of big unintentional data puts us squarely at risk for these types of mistakes.

Experimentation 61

Experimentation Testing Statistics Metrics 61