AWS Big Data

OCTOBER 23, 2023

Before you run these workloads, most customers run SQL queries to interactively extract, filter, join, and aggregate data into a shape that can be used for decision-making, model training, or inference. The consumer accounts can then perform data analysis and explorations on the shared data.

Data Lake 106

Data Lake Visualization Optimization Interactive 106

The Unofficial Google Data Science Blog

MARCH 31, 2016

KUEHNEL, and ALI NASIRI AMINI In this post, we give a brief introduction to random effects models, and discuss some of their uses. Through simulation we illustrate issues with model fitting techniques that depend on matrix factorization. Random effects models are a useful tool for both exploratory analyses and prediction problems.

Modeling 40

Modeling Statistics Advertising Testing 40

AWS Big Data

JUNE 6, 2023

Founded in 2012, SumUp is the financial partner for more than 4 million small merchants in over 35 markets worldwide, helping them start, run and grow their business. We further use the Digital Analytics data for our reverse ETL pipelines that ingest merchant behavior data back into the Ad tools.

Analytics 56

Analytics Data Lake Testing Optimization 56

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. In other words, #adulting.

Data Governance 84

Data Governance Machine Learning Metadata Big Data 84

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

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

Domino Data Lab

AUGUST 8, 2019

Across the board, organizations struggle with hiring enough data scientists. Meanwhile, many organizations also struggle with “late in the pipeline issues” on model deployment in production and related compliance. then building machine learning models to recommend methods and potential collaborators to scientists.

Data Science 71

Data Science Machine Learning Data Governance Statistics 71

The Unofficial Google Data Science Blog

OCTOBER 12, 2017

1]" Statistics, as a discipline, was largely developed in a small data world. 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. We ought not dredge our data.

Experimentation 61

Experimentation Testing Statistics Metrics 61

AWS Big Data

JANUARY 30, 2023

Therefore, all this operational data needs to be sent to Delta Lake in near-real time so that the organization can perform various analytics, and build machine learning (ML) models to serve their customers in a more efficient and cost-effective way. On the IAM console, choose Polices in the navigation pane. Choose Create policy.

Insurance 81

Insurance Data Lake Data-driven Management 81

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. What’s been the impact of using ML models on culture and organization? Who builds their models? There are essentially four types encountered: image/video, audio, text, and structured data.

Data Science 49

Data Science Deep Learning Machine Learning Modeling 49

Sisense

MAY 26, 2020

In this post, we’ll discuss these challenges in detail and include some tips and tricks to help you handle text data more easily. Unstructured data and Big Data. Most common challenges we face in NLP are around unstructured data and Big Data. is “big” and highly unstructured.

Unstructured Data 98

Unstructured Data Big Data Testing Machine Learning 98

BizAcuity

MAY 10, 2022

Amazon strategically went with the pricing model of ‘on-demand’, allowing developers to pay only as-per their computational needs. 2007: Amazon launches SimpleDB, a non-relational (NoSQL) database that allows businesses to cheaply process vast amounts of data with minimal effort. EC2 was a more evolved version of a Virtual Machine.

Data-driven 52

Data-driven IoT Unstructured Data Data Lake 52

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 78

Interactive Digital Transformation Management Optimization 78

Cloudera

DECEMBER 12, 2018

And so I actually transitioned out of that group and into the Big Data Appliance group at Oracle, but soon realized that if that was what I wanted to keep doing, this up and coming company called Cloudera might be a better place to do it since these new technologies weren’t just a hobby at Cloudera. Interesting times.

Data Warehouse 41

Data Warehouse Marketing Big Data Data Lake 41

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

To make sure the reliability is high, there are various techniques to perform – the first of them being the control tests, which should have similar results when reproducing an experiment in similar conditions. In 2012, the global mean temperature was measured at 58.2 We took a very obvious one to show you. Source: Bill Grueskin.

Statistics 363

Statistics Advertising Visualization Data mining 363