AWS Big Data

APRIL 20, 2023

Customers use Amazon Redshift to run their business-critical analytics on petabytes of structured and semi-structured data. Apache Spark enables you to build applications in a variety of languages, such as Java, Scala, and Python, by accessing the data in your Amazon Redshift data warehouse.

Data Lake 74

Data Lake Data Warehouse Sales Data-driven 74

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.” percent of respondents ranked mobile BI as “critically important” in 2012. The user data indicates strong synergy between cloud and mobile in BI.

Business Intelligence 60

Business Intelligence Finance Risk Data Processing 60

AWS Big Data

JANUARY 30, 2023

Many customers need an ACID transaction (atomic, consistent, isolated, durable) data lake that can log change data capture (CDC) from operational data sources. There is also demand for merging real-time data into batch data. The Delta Lake layer ensures ACID compliance of the source data.

Insurance 76

Insurance Data Lake Data-driven Management 76

Jen Stirrup

OCTOBER 21, 2019

I am mentoring and leading them, while delivering the project, setting a vision, generating and implementing data strategies, and slowly helping to mould the culture to be more data-driven as well as insight-driven. According to the Telegraph (2012), Female execs earn £423,390 less than men over careers. .

Data-driven 48

Data-driven Marketing Testing Management 48

Cloudera

AUGUST 6, 2018

In recent years, we have heard a great deal about how new and sophisticated understanding of how to interpret the onslaught of data produced in the modern age could help us turn the corner on major social and environmental problems. While we have been using data to improve philanthropy for years, a great deal has changed very quickly.

Machine Learning 49

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

BizAcuity

MAY 10, 2022

Cloud technology and innovation drives data-driven decision making culture in any organization. Cloud washing is storing data on the cloud for use over the internet. Storing data is extremely expensive even with VMs during this time. An efficient big data management and storage solution that AWS quickly took advantage of.

Data-driven 52

Data-driven IoT Unstructured Data Data Lake 52

AWS Big Data

APRIL 26, 2024

To enable your workforce users for analytics with fine-grained data access controls and audit data access, you might have to create multiple AWS Identity and Access Management (IAM) roles with different data permissions and map the workforce users to one of those roles. We use Okta as the IdP for this demonstration.

Analytics 94

Analytics Data Lake Management Enterprise 94

The Unofficial Google Data Science Blog

JUNE 30, 2016

By IVAN DIAZ & JOSEPH KELLY Determining the causal effects of an action—which we call treatment—on an outcome of interest is at the heart of many data analysis efforts. To do this, you have a data set at the person level containing, among other variables, an indicator of ad exposure, and whether the person bought the truck.

Statistics 44

Statistics Optimization Modeling Experimentation 44

AWS Big Data

OCTOBER 19, 2023

Customers uploading and searching through decades of photos helped turn search into critical infrastructure, growing steadily since SmugMug first used Amazon CloudSearch in 2012, followed by Amazon OpenSearch Service since 2018, after reaching billions of documents and terabytes of search storage.

Publishing 56

Publishing Testing Cost-Benefit Data-driven 56

CIO Business Intelligence

APRIL 15, 2022

In 2017, The Economist declared that data, rather than oil, had become the world’s most valuable resource. Organizations across every industry have been and continue to invest heavily in data and analytics. But like oil, data and analytics have their dark side. Data limitations in Microsoft Excel. 25 and Oct. The culprit?

Analytics 143

Analytics Machine Learning Insurance Testing 143

Sisense

MAY 26, 2020

In Talking Data , we delve into the rapidly evolving worlds of Natural Language Processing and Generation. Text data is proliferating at a staggering rate, and only advanced coding languages like Python and R will be able to pull insights out of these datasets at scale. Today, text data is everywhere. can’t” becomes “can not”).

Unstructured Data 98

Unstructured Data Big Data Testing Machine Learning 98

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. The data is then cleansed, transformed, and uploaded to Amazon S3 for further processing.

Metadata 118

Metadata Visualization Data Lake Data-driven 118

AWS Big Data

JUNE 7, 2023

Today, we are releasing six new QuickSight APIs to allow programmatic access to export and import QuickSight assets—dashboards, analyses, datasets including ingestion schedules, data sources, themes, and VPC configurations—across accounts and environments. The list will contain both finished and running jobs from the past 15 days.

Dashboards 67

Dashboards Recreation/Entertainment Testing Business Intelligence 67

The Unofficial Google Data Science Blog

APRIL 23, 2024

Experiments, Parameters and Models At Youtube, the relationships between system parameters and metrics often seem simple — straight-line models sometimes fit our data well. Modeling live experiment data Data scientists at YouTube are rarely involved in the analysis of typical live traffic experiments.

Experimentation 52

Experimentation Optimization Uncertainty Metrics 52

Domino Data Lab

AUGUST 8, 2019

Paco Nathan ‘s latest monthly article covers Sci Foo as well as why data science leaders should rethink hiring and training priorities for their data science teams. In this episode I’ll cover themes from Sci Foo and important takeaways that data science teams should be tracking. Introduction. Ever heard of it before?

Data Science 71

Data Science Machine Learning Data Governance Statistics 71

Smart Data Collective

APRIL 20, 2023

Companies are spending nearly $30 billion a year on big data for marketing initiatives. One of the many reasons that they are using big data is to create better content marketing strategies. Despite the many benefits of big data for content marketing, many businesses still don’t know how to utilize it effectively.

Marketing 79

Marketing Strategy Big Data ROI 79

AWS Big Data

MARCH 22, 2023

Choose Test Connection. After the test connection is successfully complete, set Provisioning Status to On. With this event-driven approach to provision users and groups in QuickSight, system administrators can have full flexibility in where the various different ways of user management could be expected depending on the organization.

Management 93

Management Metadata Enterprise Testing 93

Occam's Razor

JANUARY 10, 2011

Let's start off the new year with lessons learned from a tough life on the front lines of trying to make the world a smidgen more data-driven. 10% of your time should be spent in implementing tools, not 15 months with an eye towards analysis in the middle of 2012. After all I had all this, as they put it: "OMG data!"

Analytics 120

Analytics Measurement Data-driven Optimization 120

Cloudera

DECEMBER 12, 2018

After having rebuilt their data warehouse, I decided to take a little bit more of a pointed role, and I joined Oracle as a database performance engineer. I spent eight years in the real-world performance group where I specialized in high visibility and high impact data warehousing competes and benchmarks. Greg Rahn: Sure.

Data Warehouse 41

Data Warehouse Marketing Big Data Data Lake 41

AWS Big Data

MAY 4, 2023

Amazon Redshift Serverless makes it easy to run and scale analytics in seconds without the need to set up and manage data warehouse clusters. With Redshift Serverless, users such as data analysts, developers, business professionals, and data scientists can get insights from data by simply loading and querying data in the data warehouse.

Finance 78

Finance Data Warehouse Sales Metadata 78

CIO Business Intelligence

FEBRUARY 3, 2023

Using RPA tools, a company can configure software, or a “robot,” to capture and interpret applications for processing a transaction, manipulating data, triggering responses, and communicating with other digital systems. These systems can manage the various APIs and services while also helping the data flow with extra bots.

Data-driven 145

Data-driven Interactive Enterprise Statistics 145

datapine

MAY 17, 2021

1) What Is Data Discovery? 2) Why is Data Discovery So Popular? 3) Data Discovery Tools Attributes. 5) How To Perform Smart Data Discovery. 6) Data Discovery For The Modern Age. We live in a time where data is all around us. Being a data-driven organization starts with understanding your data.

Visualization 161

Visualization Data-driven Business Intelligence Metrics 161

datapine

DECEMBER 28, 2021

Statistics are infamous for their ability and potential to exist as misleading and bad data. Exclusive Bonus Content: Download Our Free Data Integrity Checklist. Get our free checklist on ensuring data collection and analysis integrity! To get this journey started let’s look at the misleading statistics definition.

Statistics 363

Statistics Advertising Visualization Data mining 363

Jet Global

SEPTEMBER 22, 2023

In today’s fast-paced market, data has become the lifeblood of decision-making. For application teams and users, having access to insightful and actionable data is not just a luxury; it’s a necessity. AI integration bridges the gap between data and action, making analytics an integral part of the application experience.

Dashboards 52

Dashboards Data-driven Visualization Interactive 52