AWS Big Data

APRIL 11, 2023

Accurately predicting demand for products allows businesses to optimize inventory levels, minimize stockouts, and reduce holding costs. Such a solution should use the latest technologies, including Internet of Things (IoT) sensors, cloud computing, and machine learning (ML), to provide accurate, timely, and actionable data.

Forecasting 72

Forecasting Management IoT Data-driven 72

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

CIO Business Intelligence

SEPTEMBER 8, 2022

Gathering and processing data quickly enables organizations to assess options and take action faster, leading to a variety of benefits, said Elitsa Krumova ( @Eli_Krumova ), a digital consultant, thought leader and technology influencer.

Cost-Benefit 122

Cost-Benefit Internet of Things Data-driven Data Lake 122

AWS Big Data

MARCH 7, 2023

Flexible and easy to use – The solutions should provide less restrictive, easy-to-access, and ready-to-use data. They should also provide optimal performance with low or no tuning. A data hub contains data at multiple levels of granularity and is often not integrated. Data repositories represent the hub.

Analytics 68

Analytics Data Warehouse Data Lake Metadata 68

BizAcuity

MARCH 1, 2019

There is a coherent overlap between the Internet of Things and Artificial Intelligence. IoT is basically an exchange of data or information in a connected or interconnected environment. This is where AI-based analysis and response play a critical role in extracting optimal value from the data. Future of IoT is AI.

IoT 56

IoT Internet of Things Big Data Data-driven 56

AWS Big Data

JANUARY 8, 2024

Stream Processing – An application created with Amazon Managed Service for Apache Flink can read the records from the data stream to detect and clean any errors in the time series data and enrich the data with specific metadata to optimize operational analytics.

Analytics 109

Analytics IoT Data-driven Snapshot 109

Sisense

JANUARY 13, 2020

From a practical perspective, the computerization and automation of manufacturing hugely increase the data that companies acquire. And cloud data warehouses or data lakes give companies the capability to store these vast quantities of data. All of them generate a trail of performance-tracking data.

Manufacturing 52

Manufacturing Data Lake Big Data Data Warehouse 52

Sisense

OCTOBER 6, 2020

And, as industrial, business, domestic, and personal Internet of Things devices become increasingly intelligent, they communicate with each other and share data to help calibrate performance and maximize efficiency. The result, as Sisense CEO Amir Orad wrote , is that every company is now a data company.

Statistics 98

Statistics Unstructured Data Data-driven Visualization 98

AWS Big Data

MAY 30, 2023

Customers have been using data warehousing solutions to perform their traditional analytics tasks. Recently, data lakes have gained lot of traction to become the foundation for analytical solutions, because they come with benefits such as scalability, fault tolerance, and support for structured, semi-structured, and unstructured datasets.

Data Lake 76

Data Lake Data Analytics Analytics Data Processing 76

AWS Big Data

NOVEMBER 14, 2023

Ten years ago, we launched Amazon Kinesis Data Streams , the first cloud-native serverless streaming data service, to serve as the backbone for companies, to move data across system boundaries, breaking data silos. Next, let’s go back to the NHL use case where they combine IoT, data streaming, and machine learning.

IoT 55

IoT Data-driven Data Lake Data Strategy 55

CIO Business Intelligence

APRIL 18, 2023

Cloud-based network management increases agility and allows resource-constrained IT departments to focus on optimizing the network, not deploying, managing, or upgrading the network management system. 96% of corporate networks have or will have Internet of Things devices and sensors connecting to them[3].

IoT 52

IoT Internet of Things Data Lake Optimization 52

Corinium

APRIL 25, 2019

And it’s become a hyper-competitive business, so enhancing customer service through data is critical for maintaining customer loyalty. And more recently, we have also seen innovation with IOT (Internet Of Things). In data-driven organizations, data is flowing.

Insurance 150

Insurance Risk IoT Cost-Benefit 150

AWS Big Data

JUNE 12, 2023

Organizations across the world are increasingly relying on streaming data, and there is a growing need for real-time data analytics, considering the growing velocity and volume of data being collected. About the Authors Vivekanand Tiwari is a Cloud Architect at AWS. Subramanya Vajiraya is a Sr.

Management 75

Management Metadata Testing Internet of Things 75

Sisense

MAY 11, 2021

The reasons for this are simple: Before you can start analyzing data, huge datasets like data lakes must be modeled or transformed to be usable. According to a recent survey conducted by IDC , 43% of respondents were drawing intelligence from 10 to 30 data sources in 2020, with a jump to 64% in 2021!

Modeling 84

Modeling Big Data IoT Data Warehouse 84

erwin

DECEMBER 13, 2018

As data becomes increasingly more vital to an organization’s success from a compliance and business perspective, the role of the CDO will become more defined. Data operations (DataOps) gains traction/will be fully optimized: Much like how DevOps has taken hold over the past decade, 2019 will see a similar push for DataOps.

Data Governance 91

Data Governance IoT Internet of Things Data-driven 91

Alation

AUGUST 2, 2022

Customer centricity requires modernized data and IT infrastructures. Too often, companies manage data in spreadsheets or individual databases. This means that you’re likely missing valuable insights that could be gleaned from data lakes and data analytics. Collaborating with another team to accelerate the plan.

Strategy 52

Strategy Cost-Benefit Metrics Data Lake 52

Alation

FEBRUARY 20, 2020

Investment in data is a signal that the company is investing in the ability to change rapidly and in response to what the market requires, rather than solidifying processes that optimize what the company is already doing. The Role of the Chief Data Officer (CDO). Governing Data Lakes to Find Opportunities for Customers.

Data-driven 52

Data-driven Internet of Things Data Lake Strategy 52