Cloudera

JANUARY 20, 2021

Most of what is written though has to do with the enabling technology platforms (cloud or edge or point solutions like data warehouses) or use cases that are driving these benefits (predictive analytics applied to preventive maintenance, financial institution’s fraud detection, or predictive health monitoring as examples) not the underlying data.

Digital Transformation 108

Digital Transformation Manufacturing Data Warehouse Predictive Analytics 108

CIO Business Intelligence

MAY 16, 2022

The concept of the edge is not new, but its role in driving data-first business is just now emerging. The advent of distributed workforces, smart devices, and internet-of-things (IoT) applications is creating a deluge of data generated and consumed outside of traditional centralized data warehouses.

IoT 98

IoT Data Warehouse Internet of Things Machine Learning 98

CIO Business Intelligence

DECEMBER 1, 2022

Now halfway into its five-year digital transformation, PepsiCo has checked off many important boxes — including employee buy-in, Kanioura says, “because one way or another every associate in every plant, data center, data warehouse, and store are using a derivative of this transformation.”

Digital Transformation 144

Digital Transformation IoT Data-driven KPI 144

BizAcuity

APRIL 1, 2023

This typically requires a data warehouse for analytics needs that is able to ingest and handle real time data of huge volumes. Snowflake is a cloud-native platform that eliminates the need for separate data warehouses, data lakes, and data marts allowing secure data sharing across the organization.

Data Warehouse 52

Data Warehouse Cost-Benefit Data Lake Internet of Things 52

AWS Big Data

DECEMBER 13, 2023

A CDC-based approach captures the data changes and makes them available in data warehouses for further analytics in real-time. usually a data warehouse) needs to reflect those changes in near real-time. This post showcases how to use streaming ingestion to bring data to Amazon Redshift.

Data Warehouse 94

Data Warehouse Snapshot Data Processing Management 94

Data Science 101

NOVEMBER 7, 2019

Azure Synapse Analytics can be seen as a merge of Azure SQL Data Warehouse and Azure Data Lake. Synapse allows one to use SQL to query petabytes of data, both relational and non-relational, with amazing speed. Here they are in my order of importance (based upon my opinion). Azure Synapse.

Data Science 106

Data Science Machine Learning Data Lake IoT 106

Cloudera

NOVEMBER 1, 2022

Through modern data architectures powered by CDP, including Cloudera-enabled data fabric, data lakehouse, and data mesh , DoD agencies can rapidly provision and manage innovative data engineering, data warehouse, and machine learning environments, with access to secured supply chain data stored in CDP Private Cloud.

Cost-Benefit 88

Cost-Benefit Data Architecture Risk IoT 88

CIO Business Intelligence

MARCH 16, 2022

But even before the pandemic hit, Dubai-based Aster DM Healthcare was deploying emerging technology — for example, implementing a software-defined network at its Aster Hospitals UAE infrastructure to help manage IoT-connected healthcare devices. The same goes for the adoption of data warehouse and business intelligence.

Technology 115

Technology Digital Transformation Business Intelligence Data Warehouse 115

AWS Big Data

MAY 2, 2023

Amazon Redshift is a fast, fully managed, petabyte-scale data warehouse service that makes it simple and cost-effective to analyze all your data efficiently and securely. Users such as data analysts, database developers, and data scientists use SQL to analyze their data in Amazon Redshift data warehouses.

Data Warehouse 60

Data Warehouse Software Visualization IoT 60

Cloudera

JANUARY 26, 2022

Network operating systems let computers communicate with each other; and data storage grew—a 5MB hard drive was considered limitless in 1983 (when compared to a magnetic drum with memory capacity of 10 kB from the 1960s). The amount of data being collected grew, and the first data warehouses were developed.

Data Processing 87

Data Processing IoT Cost-Benefit Digital Transformation 87

erwin

FEBRUARY 13, 2020

When an organization’s data governance and metadata management programs work in harmony, then everything is easier. Data governance is a complex but critical practice. There’s always more data to handle, much of it unstructured; more data sources, like IoT, more points of integration, and more regulatory compliance requirements.

Metadata 135

Metadata Data Governance Management Cost-Benefit 135

Sisense

MARCH 14, 2021

To best understand how to do this, let’s dig into the challenges of big data and look at a wave of emerging issues. For starters, the rise of the Internet of Things (IoT) has created immense volumes of new data to be analyzed. displaying BI insights for human users).

Big Data 52

Big Data IoT Data Warehouse Data-driven 52

Cloudera

DECEMBER 19, 2018

The most common big data use case is data warehouse optimization. Big data architecture is used to augment different applications, operating alongside or in a discrete fashion with a data warehouse. A big data implementation may even replace a data warehouse entirely with a data lake.

Data Warehouse 54

Data Warehouse Analytics Big Data Data Architecture 54

Jet Global

JULY 2, 2019

The sheer scale of data being captured by the modern enterprise has necessitated a monumental shift in how that data is stored. From the humble database through to data warehouses , data stores have grown both in scale and complexity to keep pace with the businesses they serve, and the data analysis now required to remain competitive.

Data Lake 73

Data Lake Data Warehouse Big Data Machine Learning 73

CIO Business Intelligence

APRIL 6, 2022

We are centered around co-creating with customers and promoting a systematic and scalable innovation approach to solve real-world customers problems—similar to Toyota leveraging Infosys Cobalt to modernize its vehicle data warehouse into a next-generation data lake on AWS. .

Experimentation 103

Experimentation Data Lake Uncertainty Enterprise 103

In(tegrate) the Clouds

AUGUST 4, 2016

The second trend is the data lake and how to complement, extend — and in some cases replace — the traditional data warehouse with a reference architecture that is built to handle all new and future sources and enable more proactive and predictive analytics. The third trend is the Internet of Things (IoT).

IoT 45

IoT Internet of Things Data Lake Data Warehouse 45

datapine

NOVEMBER 19, 2019

Therefore, this will lead to the growth of your data warehouse due to all the conversations that will take place, requiring information from both inside and outside the organization. Brings out all her thoughts and love in writing blogs on IoT, software, technology, etc. Summing Up. Author Bio: . Website Link: [link] .

Business Intelligence 146

Business Intelligence Knowledge Discovery Dashboards Unstructured Data 146

IBM Big Data Hub

SEPTEMBER 19, 2022

Join SingleStore and IBM on September 21, 2022 for our webinar “ Accelerating Real-Time IoT Analytics with IBM Cognos and SingleStore ”. Why real-time analytics matters for IoT systems. IoT systems access millions of devices that generate large amounts of streaming data.

IoT 52

IoT Analytics Data Warehouse Manufacturing 52

CIO Business Intelligence

APRIL 22, 2024

Ma la connettività pervasiva, il cloud, l’Internet of Things (IoT) e l’Internet of Things industriale (IIoT) portano in rete i dispositivi OT e li rendono un potenziale bersaglio degli hacker, ha scritto in una recente nota la società Analysys Mason.

Data Lake 105

Data Lake Testing Management IoT 105

Boris Evelson

NOVEMBER 14, 2018

Over the last five years, most large enterprises have slowly but surely matured from being data-aware to data-driven.

Data-driven 96

Data-driven Data Lake Data Warehouse Business Intelligence 96

Cloudera

MAY 12, 2021

This category is open to organizations that have tackled transformative business use cases by connecting multiple parts of the data lifecycle to enrich, report, serve, and predict. . DATA FOR ENTERPRISE AI. SECURITY AND GOVERNANCE LEADERSHIP.

Digital Transformation 67

Digital Transformation Machine Learning Optimization Data Lake 67

Sanjeev Mohan

FEBRUARY 28, 2018

However, most data privacy discussions veered towards the EU GDPR ([link] which is now less than 100 days away from enforcement (May 25, 2018). Data warehouse modernization was a common theme followed by developing data lakes. Migrating to the cloud was very high on everyone’s priority.

Management 52

Management Internet of Things Data Lake IoT 52

CIO Business Intelligence

NOVEMBER 23, 2022

This has become a priority for businesses that are trying to keep up with new technologies such as the cloud, IoT, machine learning, and other emerging trends that will prompt digital transformation. Data warehouse. Data modeling. Artificial intelligence (AI). Microsoft Azure. Business intelligence. Strategy development.

Enterprise 128

Enterprise Cost-Benefit Digital Transformation Strategy 128

Cloudera

DECEMBER 20, 2022

This is possible thanks to the implementation of IoT solutions boosted by the introduction of communication improvements such as 5G or the future 6G technology, which will have a transmission speed of 1,000Gbp/s, compared to the 600Mbp/s of 5G. Explore operational efficiencies with our Federated Learning Machine Learning Prototype.

Optimization 83

Optimization Data Analytics Analytics Cost-Benefit 83

Jet Global

JUNE 5, 2019

Toiling Away in the Data Mines. If data is the fuel driving opportunities for optimization, data mining is the engine—converting that raw fuel into forward motion for your business. Store and manage: Next, businesses store and manage the data in a multidimensional database system, such as OLAP or tabular cubes.

Data mining 75

Data mining Business Intelligence OLAP Key Performance Indicator 75

Cloudera

MAY 15, 2019

He is a successful architect of healthcare data warehouses, clinical and business intelligence tools, big data ecosystems, and a health information exchange. The Enterprise Data Cloud – A Healthcare Perspective. The analytics and data platform is powering different data needs, use cases, and growth.

Enterprise 47

Enterprise Data Lake Data mining IoT 47

Cloudera

AUGUST 30, 2018

Complicating matters is the increasing focus on data protection and the far-reaching implications of IoT (e.g. How do I get to the next level in the data-driven journey fast enough? How do I meet a growing demand for self-serve BI, while not exploding my data warehouse budgets? Tough decisions. Complex scenarios.

Enterprise 40

Enterprise Data-driven Digital Transformation Machine Learning 40

Cloudera

JUNE 7, 2021

For customers, this opens up massive new opportunities within the Cloudera stack to incorporate existing data footprints with streaming sources. We believe this new capability will unlock net new capabilities for use cases in IoT, Finance, Manufacturing and more. Unlocking new use cases and architectures.

Analytics 62

Analytics Manufacturing Measurement IoT 62

Cloudera

FEBRUARY 16, 2018

Cloudera also helped gain recognition for its customers, including: Winner of the TDWI 2017 Best Practices Awards for Navistar’s IoT deployment on Cloudera. Winner of Ovum’s IoT Futures Award for Cerner’s IoT innovation with Cloudera in the healthcare industry.

IoT 45

IoT Machine Learning Manufacturing Data Science 45

CIO Business Intelligence

FEBRUARY 14, 2023

Titanium Intelligent Solutions, a global SaaS IoT organization, even saved one customer over 15% in energy costs across 50 distribution centers , thanks in large part to AI. Working with the real-time data and the features in one centralized database environment accelerates machine learning model execution.

Data Strategy 116

Data Strategy Strategy Machine Learning Data-driven 116

Alation

FEBRUARY 13, 2020

that specializes in IoT and in monitoring wind farms for other customers, and we have a weather team in Houston that is expert on wind and climate. Now those three groups came together and combined their knowledge about their experience in running wind farms, IoT, the sensor data and the weather.

Data-driven 52

Data-driven Data Lake Enterprise Analytics 52

Analytics Vidhya

MARCH 31, 2023

Introduction Publish and Subscribe is a messaging mechanism having one or a set of senders sending messages and one or a group of receivers receiving these messages.

Publishing 283

Publishing Analytics Data Warehouse IoT 283

In(tegrate) the Clouds

OCTOBER 7, 2016

As the data visualization, big data, Hadoop, Spark and self-service hype gives way to IoT, AI and Machine Learning, I dug up an old parody post on the business intelligence market circa 2007-2009 when cloud analytics was just a disruptive idea. Ad hoc query, data mining, information I’m still not finding.

Business Intelligence 40

Business Intelligence OLAP Marketing Scorecard 40

CIO Business Intelligence

JUNE 29, 2022

The recent announcement of the Microsoft Intelligent Data Platform makes that more obvious, though analytics is only one part of that new brand. Azure Data Factory. Azure Data Lake Analytics. Data warehouses are designed for questions you already know you want to ask about your data, again and again.

Data Lake 116

Data Lake Analytics Data Warehouse Machine Learning 116

AWS Big Data

OCTOBER 26, 2023

times better price-performance than other cloud data warehouses on real-world workloads using advanced techniques like concurrency scaling to support hundreds of concurrent users, enhanced string encoding for faster query performance, and Amazon Redshift Serverless performance enhancements. Amazon Redshift delivers up to 4.9

Data Warehouse 91

Data Warehouse Cost-Benefit Dashboards Optimization 91

AWS Big Data

JUNE 29, 2023

Configure streaming data In the streaming domain, we’re often tasked with exploring, transforming, and enriching data coming from Internet of Things (IoT) sensors. To generate the real-time sensor data, we employ the AWS IoT Device Simulator. Navigate to the AWS IoT Core console. Choose Next.

Data Analytics 71

Data Analytics Analytics IoT Data Lake 71

Cloudera

SEPTEMBER 12, 2018

Connecting internal, external and unconventional data (such as sensor and video data) helps the organization create an end-to-end product performance strategy, while common governance and security enable self-service capabilities for business users. Modern Data Warehousing: Barclays (nominated together with BlueData ).

Machine Learning 45

Machine Learning Big Data Data Science Data Warehouse 45