AWS Big Data

JANUARY 8, 2024

We’re living in the age of real-time data and insights, driven by low-latency data streaming applications. The volume of time-sensitive data produced is increasing rapidly, with different formats of data being introduced across new businesses and customer use cases.

Analytics 111

Analytics IoT Data-driven Snapshot 111

AWS Big Data

APRIL 17, 2024

Analytics as a service (AaaS) is a business model that uses the cloud to deliver analytic capabilities on a subscription basis. This model provides organizations with a cost-effective, scalable, and flexible solution for building analytics. times lower cost per user and up to 7.9 Amazon Redshift delivers up to 4.9

Data Warehouse 91

Data Warehouse Analytics Cost-Benefit Modeling 91

David Menninger's Analyst Perspectives

MARCH 31, 2022

I have written previously that the world of data and analytics will become more and more centered around real-time, streaming data. Data is created constantly and increasingly is being collected simultaneously. Another domain where real-time analyses are critical is internet of things (IoT) applications.

Internet of Things 144

Internet of Things Dashboards Analytics IoT 144

Rocket-Powered Data Science

JULY 13, 2023

Data is more than just another digital asset of the modern enterprise. So, what happens when the data flows are not quarterly, or monthly, or even daily, but streaming in real-time? Well, it soon became clear that the real problem was the reverse: how can we have our business move at the speed of our data?

Analytics 166

Analytics Machine Learning Deep Learning Data Science 166

David Menninger's Analyst Perspectives

NOVEMBER 30, 2021

TIBCO is a large, independent cloud-computing and data analytics software company that offers integration, analytics, business intelligence and events processing software. It enables organizations to analyze streaming data in real time and provides the capability to automate analytics processes.

Analytics 160

Analytics Data Warehouse Business Intelligence Software 160

DataKitchen

MARCH 8, 2023

These three objectives are interconnected and essential to the success of any data team. Delivering insight to customers without error is critical to the success of any data team. The team must ensure that the data they are working with is clean and accurate and that the analysis created from it is rigorous and reliable.

Analytics 130

Analytics Manufacturing Data-driven Data Analytics 130

AWS Big Data

MARCH 7, 2024

Organizations often need to manage a high volume of data that is growing at an extraordinary rate. At the same time, they need to optimize operational costs to unlock the value of this data for timely insights and do so with a consistent performance. We think of this concept as inside-out data movement.

Data Lake 111

Data Lake Analytics Dashboards Metrics 111

Analytics Vidhya

JULY 26, 2022

This article was published as a part of the Data Science Blogathon. Introduction AWS Redshift is a powerful, petabyte-scale, highly managed cloud-based data warehousing solution. It processes and handles structured and unstructured data in exabytes (1018 bytes).

Unstructured Data 325

Unstructured Data Data Science Publishing Management 325

Analytics Vidhya

JULY 29, 2022

This article was published as a part of the Data Science Blogathon. Introduction Amazon Kinesis is one of the best-managed services that scale particularly flexibly, especially for processing real-time data at a massive site. The post AWS Kinesis: Benefits & Use cases appeared first on Analytics Vidhya.

Data Science 337

Data Science Publishing Management Analytics 337

Rocket-Powered Data Science

OCTOBER 6, 2023

Decades (at least) of business analytics writings have focused on the power, perspicacity, value, and validity in deploying predictive and prescriptive analytics for business forecasting and optimization, respectively. How do predictive and prescriptive analytics fit into this statistical framework?

Business Analytics 157

Business Analytics Prescriptive Analytics Analytics Diagnostic Analytics 157

Analytics Vidhya

JANUARY 4, 2024

AI’s real-time ability to process and analyze data and […] The post AI Set to Drive Virtual & Augmented Reality Market Growth: The Synergy of Future Tech appeared first on Analytics Vidhya. With Artificial Intelligence (AI) integration, these technologies are set to reach new heights.

Marketing 203

Marketing Interactive Technology Analytics 203

datapine

MARCH 11, 2020

As digital transformation evolves, and more businesses begin to harness the power of digital technologies, the rate at which we are creating data is rising by the second. As such, we have to find approaches to data analytics and business intelligence. Exclusive Bonus Content: The Power of Real Time: A Short Summary.

Business Intelligence 165

Business Intelligence Analytics Dashboards Visualization 165

AWS Big Data

MARCH 27, 2024

This includes patient medical history, allergies, immunizations, family disease history, and individuals’ lifestyle data such as workout habits. AWS has invested in a zero-ETL (extract, transform, and load) future so that builders can focus more on creating value from data, instead of having to spend time preparing data for analysis.

Data Analytics 89

Data Analytics Analytics Data Warehouse Data Lake 89

datapine

APRIL 14, 2022

“You can have data without information, but you cannot have information without data.” – Daniel Keys Moran. When you think of big data, you usually think of applications related to banking, healthcare analytics , or manufacturing. However, the usage of data analytics isn’t limited to only these fields.

Big Data 244

Big Data Recreation/Entertainment Analytics Data-driven 244

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 97

Analytics Broadcasting Predictive Analytics Metrics 97

AWS Big Data

OCTOBER 11, 2023

Organizations with legacy, on-premises, near-real-time analytics solutions typically rely on self-managed relational databases as their data store for analytics workloads. Near-real-time streaming analytics captures the value of operational data and metrics to provide new insights to create business opportunities.

Management 103

Management Metadata Analytics Dashboards 103

CIO Business Intelligence

SEPTEMBER 10, 2022

American Airlines, the world’s largest airline, is turning to data and analytics to minimize disruptions and streamline operations with the aim of giving travelers a smoother experience. We moved our major data platforms to the cloud and implemented data hubs for Customer and Operations,” Mohan says. Taking to the cloud.

Analytics 140

Analytics Machine Learning Digital Transformation Data Warehouse 140

DataKitchen

OCTOBER 20, 2023

In today’s data-driven landscape, Data and Analytics Teams i ncreasingly face a unique set of challenges presented by Demanding Data Consumers who require a personalized level of Data Observability. Data Observability platforms often need to deliver this level of customization.

Insurance 176

Insurance Metadata Data-driven Data Quality 176

Smarten

APRIL 19, 2024

In this article, we will discuss the current state of AI in analytics, as well as the future of this burgeoning industry and how it can be applied to analytics to simplify and clarify results and to make analytics easier for businesses and business users to leverage.

Analytics 57

Analytics Predictive Modeling KPI Machine Learning 57

AWS Big Data

OCTOBER 25, 2023

As the scale and complexity of microservices and distributed applications continues to expand, customers are seeking guidance for building cost-efficient infrastructure supporting operational analytics use cases. Operational analytics is a popular use case with Amazon OpenSearch Service.

Analytics 119

Analytics Data Processing Optimization Metrics 119

Smart Data Collective

DECEMBER 13, 2022

With technological advancement, data revolutionizes many business processes. Experts assert that one of the leverages big businesses enjoy is using data to re-enforce the monopoly they have in the market. Big data is large chunks of information that cannot be dealt with by traditional data processing software.

Big Data 121

Big Data Data Analytics Analytics Statistics 121

AWS Big Data

NOVEMBER 13, 2023

Join the AWS Analytics team at AWS re:Invent this year, where new ideas and exciting innovations come together. For those in the data world, this post provides a curated guide for all analytics sessions that you can use to quickly schedule and build your itinerary. A shapeshifting guardian and protector of data like Data Lynx?

Analytics 110

Analytics Data Lake Data Warehouse Data-driven 110

AWS Big Data

FEBRUARY 12, 2024

Objective Gupshup wanted to build a messaging analytics platform that provided: Build a platform to get detailed insights, data, and reports about WhatsApp/SMS campaigns and track the success of every text message sent by the end customers. Save time and eliminate unnecessary processes.

Data Warehouse 98

Data Warehouse Analytics Snapshot Cost-Benefit 98

Smart Data Collective

MAY 13, 2022

With the growth of business data, it is no longer surprising that AI has penetrated data analytics and business insight tools. Business insight and data analytics landscape. Artificial intelligence and allied technologies make business insight tools and data analytics software more efficient.

Business Analytics 134

Business Analytics Analytics Unstructured Data Data-driven 134

AWS Big Data

APRIL 10, 2024

“Data is at the center of every application, process, and business decision. Customers across industries are becoming more data driven and looking to increase revenue, reduce cost, and optimize their business operations by implementing near real time analytics on transactional data, thereby enhancing agility.

Data Warehouse 90

Data Warehouse Analytics Metrics Snapshot 90

AWS Big Data

FEBRUARY 21, 2024

Towards the end of 2022, AWS announced the general availability of real-time streaming ingestion to Amazon Redshift for Amazon Kinesis Data Streams and Amazon Managed Streaming for Apache Kafka (Amazon MSK) , eliminating the need to stage streaming data in Amazon Simple Storage Service (Amazon S3) before ingesting it into Amazon Redshift.

Analytics 105

Analytics Management Data-driven Data Integration 105

Smarten

JANUARY 23, 2024

Integrating Artificial Intelligence with Analytics Can Increase the Relevance of Analytics! Among the many uses for artificial intelligence (AI), analytics holds a particularly interesting position. The use of AI in analytics can be very beneficial today, with the promise of even more benefits in the future.’

Analytics 62

Analytics Machine Learning Cost-Benefit Advertising 62

AWS Big Data

NOVEMBER 29, 2023

In 2013, Amazon Web Services revolutionized the data warehousing industry by launching Amazon Redshift , the first fully-managed, petabyte-scale, enterprise-grade cloud data warehouse. Amazon Redshift made it simple and cost-effective to efficiently analyze large volumes of data using existing business intelligence tools.

Data Warehouse 99

Data Warehouse Data Lake Analytics Machine Learning 99

KDnuggets

DECEMBER 20, 2021

Many real-world datasets consist of records of events that occur at arbitrary and irregular intervals. These datasets then need to be processed into regular time series for further analysis. We will use the AI & Analytics Engine to illustrate how you can prepare your time-series data in just 1 step.

Analytics 138

Analytics 138

Smart Data Collective

NOVEMBER 20, 2022

Data analytics is unquestionably one of the most disruptive technologies impacting the manufacturing sector. Manufacturers are projected to spend nearly $10 billion on analytics by the end of the year. Data analytics can solve many of the biggest challenges that manufacturers face.

Manufacturing 133

Manufacturing Marketing Data Analytics Analytics 133

Cloudera

APRIL 20, 2021

What is Streaming Analytics? Streaming Analytics is a type of data analysis that processes data streams for real-time analytics. It continuously processes data from multiple streams and performs simple calculations to complex event processing for delivering sophisticated use cases.

Analytics 93

Analytics Unstructured Data IoT Visualization 93

AWS Big Data

MAY 23, 2023

Detecting anomalies in real time from high-throughput streams is key for informing on timely decisions in order to adapt and respond to unexpected scenarios. Stream processing frameworks such as Apache Flink empower users to design systems that can ingest and process continuous flows of data at scale.

Data Analytics 91

Data Analytics Analytics Visualization Key Performance Indicator 91

Smart Data Collective

AUGUST 26, 2021

Instead, you’ve got access to a broad spectrum of valuable weather data right at your fingertips. These data-driven predictions also tend to be surprisingly accurate. But if there’s one technology that has revolutionized weather forecasting, it has to be data analytics. That’s where data analytics steps into the picture.

Forecasting 130

Forecasting Data Analytics Analytics IoT 130

CIO Business Intelligence

AUGUST 25, 2023

But when tossing away thousands of diapers damaged during the manufacturing process becomes an everyday occurrence, something has to be done to provide relief for the bottom line. That’s when P&G decided to put data to work to improve its diaper-making business. That’s why The Proctor & Gamble Co.

Predictive Analytics 98

Predictive Analytics IoT Manufacturing Analytics 98

AWS Big Data

FEBRUARY 20, 2024

Business leaders and data analysts use near-real-time transaction data to understand buyer behavior to help evolve products. The primary challenge businesses face with near-real-time analytics is getting the data prepared for analytics in a timely manner, which can often take days.

Visualization 97

Visualization Cost-Benefit Optimization B2B 97

CIO Business Intelligence

FEBRUARY 10, 2023

Predictive analytics definition Predictive analytics is a category of data analytics aimed at making predictions about future outcomes based on historical data and analytics techniques such as statistical modeling and machine learning. from 2022 to 2028.

Predictive Analytics 141

Predictive Analytics Analytics Predictive Modeling Forecasting 141

AWS Big Data

FEBRUARY 1, 2024

Financial services customers are using data from different sources that originate at different frequencies, which includes real time, batch, and archived datasets. Refer to Real-time analytics with Amazon Redshift streaming ingestion for information about configuring streaming ingestion. version cluster.

Data Warehouse 121

Data Warehouse Dashboards Risk Management Risk 121