CIO Business Intelligence

OCTOBER 1, 2022

The partners say they will create the future of digital manufacturing by leveraging the industrial internet of things (IIoT), digital twin , data, and AI to bring products to consumers faster and increase customer satisfaction, all while improving productivity and reducing costs. Smart manufacturing at scale. The power of people.

Manufacturing 145

Manufacturing Digital Transformation IoT Internet of Things 145

AWS Big Data

OCTOBER 3, 2023

In our previous post Improve operational efficiencies of Apache Iceberg tables built on Amazon S3 data lakes , we discussed how you can implement solutions to improve operational efficiencies of your Amazon Simple Storage Service (Amazon S3) data lake that is using the Apache Iceberg open table format and running on the Amazon EMR big data platform.

Optimization 122

Optimization Snapshot Data Lake Metadata 122

BizAcuity

MARCH 1, 2019

IoT is basically an exchange of data or information in a connected or interconnected environment. As IoT devices generate large volumes of data, AI is functionally necessary to make sense of this data. Data is only useful when it is actionable for which it needs to be supplemented with context and creativity.

IoT 56

IoT Internet of Things Big Data Data-driven 56

AWS Big Data

SEPTEMBER 5, 2024

Amazon Redshift , a warehousing service, offers a variety of options for ingesting data from diverse sources into its high-performance, scalable environment. Spark jobs are suitable for data processing pipelines and when you need to use Spark’s advanced data transformation capabilities.

IoT 107

IoT Data Warehouse Cost-Benefit Reporting 107

BizAcuity

NOVEMBER 22, 2022

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 98

Data Warehouse Cost-Benefit Data Lake Internet of Things 98

Cloudera

AUGUST 18, 2021

Data Lifecycle Management: The Key to AI-Driven Innovation. In digital transformation projects, it’s easy to imagine the benefits of cloud, hybrid, artificial intelligence (AI), and machine learning (ML) models. The hard part is to turn aspiration into reality by creating an organization that is truly data-driven. technologies.

Data Lake 88

Data Lake Internet of Things IoT Data-driven 88

CIO Business Intelligence

DECEMBER 6, 2023

The migration, still in its early stages, is being designed to benefit from the learned efficiencies, proven sustainability strategies, and advances in data and analytics on the AWS platform over the past decade. This enables the company to extract additional value from the data through real-time availability and contextualization.

Manufacturing 97

Manufacturing Data Lake Digital Transformation Machine Learning 97

DataKitchen

JULY 27, 2023

Azure HDInsight: A fully managed cloud service that makes processing massive amounts of data easy, fast, and cost-effective. Power BI dataflows: Power BI dataflows are a self-service data preparation tool. Azure Blob Storage serves as the data lake to store raw data. Oozie on HDInsight.

Machine Learning 130

Machine Learning Cost-Benefit Data Transformation Testing 130

CIO Business Intelligence

JULY 12, 2023

However, some things are common to virtually all types of manufacturing: expensive equipment and trained human operators are always required, and both the machinery and the people need to be deployed in an optimal manner to keep costs down. Moreover, lowering costs is not the only way manufacturers gain a competitive advantage.

Manufacturing 98

Manufacturing Cost-Benefit Data Lake Optimization 98

AWS Big Data

MAY 16, 2024

To learn more details about their benefits, see Introduction to Spatial Indexes. Learn more about these differences in CARTO’s free ebook Spatial Indexes Benefits of H3 One of the flagship examples of spatial indexes is H3, which is a hexagonal spatial index. This ensures robust data representation in all directions.

Data Warehouse 118

Data Warehouse Visualization Cost-Benefit Data-driven 118

Cloudera

SEPTEMBER 6, 2022

Previously, there were three types of data structures in telco: . Entity data sets — i.e. marketing data lakes . What is the rationale for driving a modern data architecture? There are three major architectures under the modern data architecture umbrella. . and — more worryingly — “how can we be sure?”

Data Architecture 84

Data Architecture Cost-Benefit Digital Transformation Business Driver 84

Cloudera

JANUARY 30, 2024

But with this data — along with some context about the business and process — manufacturers can leverage AI as a key building block to develop and enhance operations. There are many functional areas within manufacturing where manufacturers will see AI’s massive benefits. Eliminate data silos. That is a very low number.

Manufacturing 81

Manufacturing Contextual Data IoT Internet of Things 81

Cloudera

OCTOBER 7, 2021

Within the context of a data mesh architecture, I will present industry settings / use cases where the particular architecture is relevant and highlight the business value that it delivers against business and technology areas. The post How Cloudera Data Flow Enables Successful Data Mesh Architectures appeared first on Cloudera Blog.

Metadata 124

Metadata Cost-Benefit Enterprise Interactive 124

AWS Big Data

AUGUST 1, 2024

These challenges can range from ensuring data quality and integrity during the migration process to addressing technical complexities related to data transformation, schema mapping, performance, and compatibility issues between the source and target data warehouses.

Data Warehouse 100

Data Warehouse KPI Optimization Cost-Benefit 100

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 88

Data Lake Data Analytics Analytics Data Processing 88

AWS Big Data

FEBRUARY 6, 2023

In the post Introducing the AWS ProServe Hadoop Migration Delivery Kit TCO tool , we introduced the AWS ProServe Hadoop Migration Delivery Kit (HMDK) TCO tool and the benefits of migrating on-premises Hadoop workloads to Amazon EMR. Are any mixed development and operation jobs operating in one cluster? Choose Delete. Choose Delete stack.

Dashboards 84

Dashboards Optimization Data Lake Cost-Benefit 84

BizAcuity

MAY 10, 2022

Despite cost-cutting being the main reason why most companies shift to the cloud, that is not the only benefit they walk away with. Cloud washing is storing data on the cloud for use over the internet. While that allows easy access to users, and saves costs, the cloud is much more and beyond that. More on Kubernetes soon.

Data-driven 52

Data-driven IoT Unstructured Data Data Lake 52

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

AWS Big Data

FEBRUARY 6, 2023

To solve this, we’re introducing the Hadoop migration assessment Total Cost of Ownership (TCO) tool. The self-serve HMDK TCO tool accelerates the design of new cost-effective Amazon EMR clusters by analyzing the existing Hadoop workload and calculating the total cost of the ownership (TCO) running on the future Amazon EMR system.

Cost-Benefit 52

Cost-Benefit Data Lake Dashboards Big Data 52

CIO Business Intelligence

FEBRUARY 28, 2024

It also requires a rethink of your business strategy to embrace advances in cloud computing, analytics, AI, IoT and automation. Or, you may have begun migrating to the cloud but now need edge computing and IoT to streamline your operations, or you may want to use AI to supercharge your business analytics.

Digital Transformation 52

Digital Transformation IoT Cost-Benefit Data Lake 52

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. Although data lakes resemble data vaults, a data vault provides more features of a data warehouse.

Data Warehouse 71

Data Warehouse Data Lake Cost-Benefit Metadata 71

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

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. This is why Kinesis Data Streams is a good fit.

IoT 59

IoT Data-driven Data Lake Data Strategy 59

Cloudera

JANUARY 22, 2019

Forrester describes Big Data Fabric as, “A unified, trusted, and comprehensive view of business data produced by orchestrating data sources automatically, intelligently, and securely, then preparing and processing them in big data platforms such as Hadoop and Apache Spark, data lakes, in-memory, and NoSQL.”.

Big Data 44

Big Data Data Lake Internet of Things Enterprise 44

FineReport

APRIL 11, 2023

Every user can now create interactive reports and utilize data visualization to disseminate knowledge to both internal and external stakeholders. In this article, we will explore what BI Dashboard is, its key features, benefits and limitations, and best practices and examples.

Dashboards 40

Dashboards Business Intelligence Metrics Cost-Benefit 40

Alation

AUGUST 2, 2022

To enjoy the benefits of customer centricity, start by implementing the right habits such as these outlined by Gartner. What Are The Benefits Of Customer Centricity? Explore some additional benefits that a customer centric approach can unlock: Customer Acquisition. Reduce customer acquisition costs.

Cost-Benefit 52

Cost-Benefit Metrics Strategy Data Lake 52

AWS Big Data

JULY 17, 2024

Of the prerequisites that follow, the IOT topic rule and the Amazon Managed Streaming for Apache Kafka ( Amazon MSK ) cluster can be set up by following How to integrate AWS IoT Core with Amazon MSK. OpenSearch Ingestion provides a fully managed serverless integration to tap into these data streams.

Analytics 105

Analytics IoT Dashboards Data Lake 105

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. That’s the reward.

Insurance 150

Insurance Risk IoT Data-driven 150

CIO Business Intelligence

MAY 24, 2022

The second will focus on the growth in volume and type of data required to be stored and managed, and the ways in which value can be extracted from data. The third will examine the challenges of realising that value, the attributes of a successful data-driven organisation, and the benefits that can be gained.

Data-driven 98

Data-driven Data Lake Data Warehouse Machine Learning 98

Jet Global

MAY 9, 2024

The key components of a data pipeline are typically: Data Sources : The origin of the data, such as a relational database , data warehouse, data lake , file, API, or other data store. This can include tasks such as data ingestion, cleansing, filtering, aggregation, or standardization.

Data Lake 52

Data Lake Data Warehouse Business Intelligence Machine Learning 52

AWS Big Data

DECEMBER 19, 2024

Data lakes were originally designed to store large volumes of raw, unstructured, or semi-structured data at a low cost, primarily serving big data and analytics use cases. Enabling automatic compaction on Iceberg tables reduces metadata overhead on your Iceberg tables and improves query performance.

Data Lake 92

Data Lake IoT Metadata Testing 92

AWS Big Data

OCTOBER 25, 2024

Amazon Redshift is a fast, scalable, and fully managed cloud data warehouse that allows you to process and run your complex SQL analytics workloads on structured and semi-structured data. It also helps you securely access your data in operational databases, data lakes, or third-party datasets with minimal movement or copying of data.

Statistics 88

Statistics Data Warehouse Metadata Data Lake 88

CIO Business Intelligence

FEBRUARY 18, 2025

If you reflect for a moment, the last major technology inflection points were probably things like mobility, IoT, development operations and the cloud to name but a few. Open-source implementations for machine learning invite obvious and hidden costs if your organization is not prepared to manage them.

Machine Learning 90

Machine Learning Data Quality Enterprise Sales 90