Jet Global

OCTOBER 3, 2019

Over the past few years, we’ve already seen transformation on a massive scale thanks to how businesses are harnessing and utilizing the new wealth of data available to them. Big Business Needs Big Data. The impact of data on business success doesn’t simply lie in the ability of businesses to collect the data itself.

Big Data 53

Big Data Software Data Analytics Analytics 53

CIO Business Intelligence

JUNE 14, 2023

An airline carrier needs to know how many gates are open and how many passengers are on each plane – metrics that change from moment to moment. Consider data types. How is it possible to manage the data lifecycle, especially for extremely large volumes of unstructured data?

Unstructured Data 62

Unstructured Data IT Manufacturing Visualization 62

DataKitchen

APRIL 13, 2021

DataOps needs a directed graph-based workflow that contains all the data access, integration, model and visualization steps in the data analytic production process. It orchestrates complex pipelines, toolchains, and tests across teams, locations, and data centers. Amaterasu — is a deployment tool for data pipelines.

Testing 300

Testing Machine Learning Consulting Data Quality 300

AWS Big Data

MARCH 25, 2024

Stream processing, however, can enable the chatbot to access real-time data and adapt to changes in availability and price, providing the best guidance to the customer and enhancing the customer experience. When the model finds an anomaly or abnormal metric value, it should immediately produce an alert and notify the operator.

Data Lake 92

Data Lake Unstructured Data Management Modeling 92

datapine

DECEMBER 4, 2019

Considered a new big buzz in the computing and BI industry, it enables the digestion of massive volumes of structured and unstructured data that transform into manageable content. Chatbots are not just here to, well, chat, but also to provide true analytical value both for companies and the BI community. Augmented Analytics.

Business Intelligence 212

Business Intelligence Prescriptive Analytics Analytics Predictive Analytics 212

Smart Data Collective

DECEMBER 21, 2020

We previously talked about the benefits of data analytics in the insurance industry. One report found that big data vendors will generate over $2.4 Key benefits of AI include recognizing speech, identifying objects in an image, and analyzing natural or unstructured data forms. billion from the insurance industry.

Insurance 134

Insurance Cost-Benefit Big Data Unstructured Data 134

Sisense

MAY 11, 2021

You can’t talk about data analytics without talking about data modeling. These two functions are nearly inseparable as we move further into a world of analytics that blends sources of varying volume, variety, veracity, and velocity. Reporting Reporting contains the flattest and most cleaned version of our data.

Modeling 84

Modeling Big Data IoT Data Warehouse 84

AWS Big Data

JULY 20, 2023

To overcome these issues, Orca decided to build a data lake. A data lake is a centralized data repository that enables organizations to store and manage large volumes of structured and unstructured data, eliminating data silos and facilitating advanced analytics and ML on the entire data.

Data Lake 90

Data Lake Analytics Snapshot Optimization 90

AWS Big Data

JANUARY 8, 2024

This is the first post to a blog series that offers common architectural patterns in building real-time data streaming infrastructures using Kinesis Data Streams for a wide range of use cases. In this post, we will review the common architectural patterns of two use cases: Time Series Data Analysis and Event Driven Microservices.

Analytics 115

Analytics IoT Data-driven Snapshot 115

AWS Big Data

FEBRUARY 22, 2023

AWS Secrets Manager is an AWS service that can be used to store sensitive data, enabling users to keep data such as database credentials out of source code. Data analytic challenges As an ecommerce company, Ruparupa produces a lot of data from their ecommerce website, their inventory systems, and distribution and finance applications.

Data Lake 52

Data Lake Dashboards Cost-Benefit Metadata 52

Alation

NOVEMBER 22, 2022

An active data governance framework includes: Assigning data stewards. Standardizing data formats. Identifying structured and unstructured data. Setting data management policies, like tagging data. Quantifying effectiveness with metrics. Balance Defensive And Offensive Data Strategy.

Data Governance 52

Data Governance Metadata Data-driven Unstructured Data 52

Jet Global

MAY 9, 2024

A data pipeline is a series of processes that move raw data from one or more sources to one or more destinations, often transforming and processing the data along the way. Data pipelines support data science and business intelligence projects by providing data engineers with high-quality, consistent, and easily accessible data.

Data Lake 52

Data Lake Data Warehouse Business Intelligence Machine Learning 52

IBM Big Data Hub

JULY 6, 2023

It uses advanced tools to look at raw data, gather a data set, process it, and develop insights to create meaning. Areas making up the data science field include mining, statistics, data analytics, data modeling, machine learning modeling and programming.

Machine Learning 55

Machine Learning Data Science Statistics Deep Learning 55

datapine

JUNE 5, 2019

Online dashboards provide immediate navigable access to actionable analytics that has the power to boost your bottom line through continual commercial evolution. Data dashboards aren’t psychic, but that can help you predict the direction your business is going based on current trends, metrics, and insights. They Are Predictive.

Dashboards 316

Dashboards KPI Sales Visualization 316

datapine

FEBRUARY 22, 2022

Without real-time insight into their data, businesses remain reactive, miss strategic growth opportunities, lose their competitive edge, fail to take advantage of cost savings options, don’t ensure customer satisfaction… the list goes on. For decades now, data analytics has been considered a segregated task.

Business Intelligence 218

Business Intelligence Strategy Cost-Benefit Key Performance Indicator 218

AWS Big Data

FEBRUARY 21, 2023

Regardless of the division or use case it is related to, dimensional data models can be used to store data obtained from tracking various processes like patient encounters, provider practice metrics, aftercare surveys, and more. It is a data modeling methodology designed for large-scale data warehouse platforms.

Data Warehouse 67

Data Warehouse Data Lake Cost-Benefit Modeling 67

AWS Big Data

JUNE 9, 2023

Contents Advanced use cases in modern data lakes How to use this post Choosing an open table format General features and considerations Functional fit for common use cases Getting data into your data lake Streaming ingestion Change data capture Batch loads Working with open table formats Optimizing read performance Incremental processing of data on (..)

Data Lake 115

Data Lake Metadata Optimization Statistics 115