AWS Big Data

MARCH 18, 2024

Many organizations operate data lakes spanning multiple cloud data stores. In these cases, you may want an integrated query layer to seamlessly run analytical queries across these diverse cloud stores and streamline your data analytics processes. To achieve this, Oktank envisions a unified data query layer using Athena.

Data Lake 97

Data Lake Analytics Cost-Benefit Management 97

AWS Big Data

MARCH 4, 2024

As enterprises collect increasing amounts of data from various sources, the structure and organization of that data often need to change over time to meet evolving analytical needs. Schema evolution enables adding, deleting, renaming, or modifying columns without needing to rewrite existing data. Query the data using Athena.

Snapshot 108

Snapshot Data Lake Metadata Recreation/Entertainment 108

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. In this post, we provide benchmark results of running increasingly complex data quality rulesets over a predefined test dataset.

Data Quality 85

Data Quality Measurement Testing Visualization 85

Analytics Vidhya

NOVEMBER 26, 2021

This article was published as a part of the Data Science Blogathon. It has many features, including tokenization, lemmatization, and part-of-speech (PoS) tagging. Overview According to the internet, OpenNLP is a machine learning-based toolbox for processing natural language text.

Modeling 286

Modeling Machine Learning Data Science Publishing 286

CIO Business Intelligence

APRIL 16, 2024

Manufacturers have been using gateways to work around these legacy silos with IoT platforms to collect and consolidate all operational data. The detailed data must be tagged and mapped to specific processes, operational steps, and dashboards; pressure data A maps to process B, temperature data C maps to process D, etc.

Manufacturing 140

Manufacturing Digital Transformation Risk Dashboards 140

Cloudera

JANUARY 26, 2024

In this article, we will walk you through the process of implementing fine grained access control for the data governance framework within the Cloudera platform. In a good data governance strategy, it is important to define roles that allow the business to limit the level of access that users can have to their strategic data assets.

Metadata 76

Metadata Data Governance Management Finance 76

AWS Big Data

OCTOBER 10, 2023

Data governance is the process of ensuring the integrity, availability, usability, and security of an organization’s data. Due to the volume, velocity, and variety of data being ingested in data lakes, it can get challenging to develop and maintain policies and procedures to ensure data governance at scale for your data lake.

Data Quality 87

Data Quality Data Governance Data Lake Testing 87

Rocket-Powered Data Science

JULY 6, 2021

Specifically, in the modern era of massive data collections and exploding content repositories, we can no longer simply rely on keyword searches to be sufficient. This is accomplished through tags, annotations, and metadata (TAM). One type of implementation of a content strategy that is specific to data collections are data catalogs.

Strategy 266

Strategy Machine Learning Metadata Knowledge Discovery 266

CIO Business Intelligence

APRIL 25, 2024

This strategy alone — achieved with the DIY approach — was responsible for saving $300,000 when his team dug into expenses surrounding Google Cloud Platform log storage, resulting in his team moving the logs to a lower tier of cloud storage and rightsizing the data they retain to adhere to retention requirements.

Management 113

Management Optimization Strategy Enterprise 113

Analytics Vidhya

SEPTEMBER 16, 2021

This article was published as a part of the Data Science Blogathon Recently I participated in an NLP hackathon — “Topic Modeling for Research Articles 2.0”. The post Topic Modeling: Predicting Multiple Tags of Research Articles using OneVsRest strategy appeared first on Analytics Vidhya.

Strategy 205

Strategy Modeling Data Processing Data Science 205

Cloudera

MARCH 4, 2024

In this article, we will walk you through the process of implementing fine grained access control for the data governance framework within the Cloudera platform. In a good data governance strategy, it is important to define roles that allow the business to limit the level of access that users can have to their strategic data assets.

Metadata 52

Metadata Data Governance Management Finance 52

KDnuggets

MAY 24, 2022

An ML system requiring thousands of tagged samples is fundamentally different from the mind of a child, which can learn from just a few experiences of untagged data.

Machine Learning 160

Machine Learning 160

Rocket-Powered Data Science

JUNE 28, 2019

Here is a compilation of glossaries of terminology used in data science, big data analytics, machine learning, AI, and related fields: Glossary of common Machine Learning, Statistics and Data Science terms. Data Science Glossary on DataScienceCentral. Data Science Glossary. Data Science Glossary on Kaggle.

Data Science 218

Data Science Machine Learning Big Data Statistics 218

Analytics Vidhya

DECEMBER 7, 2020

This article was published as a part of the Data Science Blogathon. The post Hands-On Tutorial on Stack Overflow Question Tagging appeared first on Analytics Vidhya. Background I won’t be lying if I assert that every developer/engineer/student has.

Data Science 162

Data Science Publishing Analytics Structured Data 162

AWS Big Data

JULY 20, 2023

Apache Hive is a SQL-based data warehouse system for processing highly distributed datasets on the Apache Hadoop platform. The Hive metastore is a repository of metadata about the SQL tables, such as database names, table names, schema, serialization and deserialization information, data location, and partition details of each table.

Data Lake 76

Data Lake Metadata Data Processing Big Data 76

CIO Business Intelligence

DECEMBER 21, 2023

Backhauling to on-premises network security infrastructure for inspection and protection But relying on legacy security architectures amplifies lateral movement, increases operational complexity, and provides inconsistent threat and data protection. Zscaler Fig 1: Zscaler Zero Trust Cloud Connectivity.

Cost-Benefit 90

Cost-Benefit Enterprise Management IT 90

AWS Big Data

JANUARY 31, 2023

Data governance is the collection of policies, processes, and systems that organizations use to ensure the quality and appropriate handling of their data throughout its lifecycle for the purpose of generating business value.

Data Lake 78

Data Lake Data Governance Data Architecture Machine Learning 78

Smart Data Collective

AUGUST 25, 2021

Analyzes previous data to make better predictions, like self-driving cars that observe directions and traffic lights. Image Tagging. Like visual search, image tagging also uses visual recognition technology. If you click one of the labels, the platform will direct you to visually similar results under that tag.

Visualization 135

Visualization Sales Marketing Technology 135

Smart Data Collective

JANUARY 18, 2021

Big data is at the core of any competent marketing strategy. We have talked before about the importance of merging big data with SEO. However, we mostly talked about using data-driven SEO to drive traffic to your money site. Big data SEO strategies can also be very effective with YouTube marketing.

Data Analytics 105

Data Analytics Analytics Data mining Big Data 105

CIO Business Intelligence

JANUARY 13, 2023

The tool, which is built on Google’s Vertex AI Vision and powered by two machine learning models — product recognizer and tag organizer — can be used to identify different product types based on visual imaging and text features, the company said, adding that retailers don’t have to spend time and effort into training their own AI models.

Machine Learning 121

Machine Learning Sales Optimization Visualization 121

IBM Big Data Hub

DECEMBER 18, 2023

What is RUM data? Contrary to what you might think, RUM data isn’t a performance indicator for Captain Morgan, Cuban tourism or a Disney film franchise. Real User Monitoring (RUM) data is information about how people interact with online applications and services. Are there alternatives to RUM data? Actually, yes!

IT 69

IT Metrics Optimization Testing 69

Smart Data Collective

OCTOBER 25, 2022

We talked about the opportunities to use big data for library marketing , but there are other advantages as well. Through radio waves and barcodes, computers and similar can identify objects, thus sort them into categories and put their corresponding data in the library systems. AI-Driven RFIDs Are the Future of Library Management.

Technology 124

Technology Data-driven Big Data Management 124

CIO Business Intelligence

OCTOBER 13, 2022

This was accomplished by using data to give the organizer tangible real-time insight as to what is happening in the venue concerning social distancing and risky behavior. Flockey measures the distance between visitors using anonymized Bluetooth low-energy data from mobile devices like a smartphone or lanyard tag.

Risk 90

Risk Broadcasting Recreation/Entertainment Measurement 90

AWS Big Data

FEBRUARY 16, 2024

Many customers are extending their data warehouse capabilities to their data lake with Amazon Redshift. They are looking to further enhance their security posture where they can enforce access policies on their data lakes based on Amazon Simple Storage Service (Amazon S3).

Data Lake 93

Data Lake Data Warehouse Testing Business Objectives 93

Ontotext

APRIL 19, 2024

You can switch out or add to the assisted tagging capabilities you can work with based on the benchmarking, so you’re able to optimize the result. The knowledge graph as a reusable, growing resource Of course the vast majority of enterprise data (Ontotext puts the estimate at 80 percent) is unstructured.

Metadata 52

Metadata Statistics Interactive Enterprise 52

Smart Data Collective

JULY 28, 2021

This is largely due to the benefits of using data analytics to improve automation in merchandise distribution. As a retailer or manufacturer selling via e-commerce platforms, you already know the importance of using big data to improve automation. This wouldn’t be possible without massive advances in big data technology.

Data-driven 135

Data-driven Big Data Manufacturing ROI 135

Cloudera

OCTOBER 30, 2023

The legacy IT infrastructure to run the business operations — mainly data centers — has a deadline to shift to cloud-based services. The public cloud is increasingly becoming the preferred platform to host data analytics – related projects, such as business intelligence, machine learning (ML), and AI applications.

Analytics 80

Analytics Cost-Benefit ROI Business Objectives 80

Rocket-Powered Data Science

FEBRUARY 15, 2023

Third, any commitment to a disruptive technology (including data-intensive and AI implementations) must start with a business strategy. These changes may include requirements drift, data drift, model drift, or concept drift. I suggest that the simplest business strategy starts with answering three basic questions: What?

Strategy 289

Strategy Experimentation Uncertainty Machine Learning 289

Ontotext

FEBRUARY 1, 2024

For example, the method for managing multilingual taxonomies became massively simpler (once concept could now hold multiple language labels), resulting in huge cost savings compared with the previous data model. The widespread adoption of RDF as a semantic data model transformed simple taxonomies into extensible and expressive ontologies.

Enterprise 59

Enterprise Management Metadata Modeling 59

CIO Business Intelligence

FEBRUARY 9, 2024

Like many other professional sports leagues, the NFL has been at the leading edge of data-driven transformation for years. One of those data sources is the Next Generation Stats System (NGS), which captures real-time location, speed, and acceleration data for every player.

Recreation/Entertainment 132

Recreation/Entertainment Data-driven Risk Digital Transformation 132

AWS Big Data

JULY 21, 2023

Data-driven organizations treat data as an asset and use it across different lines of business (LOBs) to drive timely insights and better business decisions. This leads to having data across many instances of data warehouses and data lakes using a modern data architecture in separate AWS accounts.

Data Lake 82

Data Lake Data Warehouse Marketing Management 82

AWS Big Data

MAY 25, 2023

Data transformation plays a pivotal role in providing the necessary data insights for businesses in any organization, small and large. Picture a scenario where you, the VP of Data and Analytics, are in charge of your data and analytics environments and workloads running on AWS where you manage a team of data engineers and analysts.

Reporting 66

Reporting Metrics Optimization Data Lake 66

CIO Business Intelligence

SEPTEMBER 5, 2023

For example, ‘putting data in the path of the engineer’ encourages them to take action and look for ways to optimize cloud costs. Properly tagged resources can be automatically monitored, with alerts that notify stakeholders when infrastructure is deployed outside of governance policies established by the business. Cloud Management

IT 95

IT Digital Transformation Data-driven Business Analysis 95

Smart Data Collective

MAY 27, 2021

The automotive industry has been far more reliant on big data than most other sectors in recent years. A growing number of major automobile manufacturers have started using data analytics and AI to improve production. There have been a number of clear advantages of using big data to manufacture automobiles. A Hefty Price Tag.

Data Analytics 123

Data Analytics Manufacturing Big Data Analytics 123

CIO Business Intelligence

APRIL 8, 2024

Nearly 10 years ago, Bill James, a pioneer in sports analytics methodology, said if there’s one thing he wished more people understood about sabermetrics, pertaining to baseball, it’s that the data is not the point. The point is to use the data like a razor to cut through false convictions to find the truth.

Analytics 101

Analytics Broadcasting Predictive Analytics Metrics 101

Cloudera

OCTOBER 26, 2020

Just like when it comes to data access in business. Enabling data access for end-users so they can drive insight and business value is a typical area of compromise between IT and users. Data access can either be very secure but restrictive or very open yet risky. Quickly onboard data. Multi-tenant data access.

IT 121

IT Unstructured Data Data-driven Data Governance 121

Ontotext

APRIL 10, 2024

The data ecosystem today is crowded with dazzling buzzwords, all fighting for investment dollars. A survey in 2021 found that a data company was being funded every 45 minutes. Data ecosystems have become jungles and in spite of all the technology, data teams are struggling to create a modern data experience.

Metadata 52

Metadata Data Lake Data Warehouse Data Quality 52