CIO Business Intelligence

MAY 21, 2024

Real-Time Intelligence, on the other hand, takes that further by supporting data in AWS, Google Cloud Platform, Kafka installations, and on-prem installations. “We We introduced the Real-Time Hub,” says Arun Ulagaratchagan, CVP, Azure Data at Microsoft. You can monitor and act on the data and you can set thresholds.”

Broadcasting 96

Broadcasting Recreation/Entertainment Manufacturing Data Lake 96

Cloudera

JANUARY 30, 2023

Gartner defines dark data as “The information assets organizations collect, process and store during regular business activities, but generally fail to use for other purposes (for example, analytics, business relationships and direct monetizing).”

IoT 82

IoT Data Architecture Data Lake Machine Learning 82

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 112

Optimization Snapshot Data Lake Metadata 112

CIO Business Intelligence

OCTOBER 25, 2022

In this article, we offer four things you can do to get your flywheel spinning faster, and examine each through the story of Alina Parast, Chief Information Officer of ChampionX, and how she is helping transform the company (which delivers solutions to the upstream and midstream oil and gas industry) into a data-driven powerhouse.

Data Strategy 135

Data Strategy Strategy Data Lake Data-driven 135

CIO Business Intelligence

JUNE 20, 2022

Otis One’s cloud-native platform is built on Microsoft Azure and taps into a Snowflake data lake. IoT sensors send elevator data to the cloud platform, where analytics are applied to support business operations, including reporting, data visualization, and predictive modeling. We may share different data.

Internet of Things 104

Internet of Things IoT Manufacturing Data Lake 104

AWS Big Data

MARCH 7, 2023

A data hub contains data at multiple levels of granularity and is often not integrated. It differs from a data lake by offering data that is pre-validated and standardized, allowing for simpler consumption by users. Data hubs and data lakes can coexist in an organization, complementing each other.

Analytics 74

Analytics Data Warehouse Data Lake Metadata 74

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

CIO Business Intelligence

MAY 23, 2022

McDermott’s sustainability innovation would not have been possible without key advancements in the cloud, analytics, and, in particular, data lakes, Dave notes. But for Dave, the key ingredient for innovation at McDermott is data. Vagesh Dave. McDermott International. The structures for mining this fuel?

Data Lake 100

Data Lake Data mining IoT Digital Transformation 100

IBM Big Data Hub

APRIL 15, 2024

Facing a constant onslaught of cost pressures, supply chain volatility and disruptive technologies like 3D printing and IoT. Or we create a data lake, which quickly degenerates to a data swamp. The manufacturing industry is in an unenviable position. Manufacturers use summarization in different ways.

Manufacturing 95

Manufacturing Contextual Data Knowledge Discovery Data Lake 95

Smart Data Collective

OCTOBER 17, 2022

Pipeline, as it sounds, consists of several activities and tools that are used to move data from one system to another using the same method of data processing and storage. Data pipelines automatically fetch information from various disparate sources for further consolidation and transformation into high-performing data storage.

Data Warehouse 131

Data Warehouse Data Lake Visualization Big Data 131

AWS Big Data

JANUARY 8, 2024

In the subsequent post in our series, we will explore the architectural patterns in building streaming pipelines for real-time BI dashboards, contact center agent, ledger data, personalized real-time recommendation, log analytics, IoT data, Change Data Capture, and real-time marketing data.

Analytics 115

Analytics IoT Data-driven Snapshot 115

Cloudera

AUGUST 18, 2021

Otherwise, they risk quickly becoming overwhelmed by massive volumes of data captured in different formats from a diversity of sources, including Internet of Things (IoT) sensors, websites, mobile devices, cloud infrastructures, and partner networks. . That way, the data can continue generating actionable insights. .

Data Lake 88

Data Lake IoT Internet of Things Data-driven 88

Cloudera

JANUARY 30, 2024

According to Gartner , 80 percent of manufacturing CEOs are increasing investments in digital technologies—led by artificial intelligence (AI), Internet of Things (IoT), data, and analytics. Manufacturers now have unprecedented capacity to collect, utilize, and manage massive amounts of data. That is a very low number.

Manufacturing 79

Manufacturing Contextual Data IoT Digital Transformation 79

AWS Big Data

APRIL 11, 2023

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. To take advantage of this data and build an effective inventory management and forecasting solution, retailers can use a range of AWS services.

Forecasting 78

Forecasting Management IoT Data-driven 78

CIO Business Intelligence

MAY 24, 2022

However, more than 99 percent of respondents said they would migrate data to the cloud over the next two years. The Internet of Things (IoT) is a huge contributor of data to this growing volume, iotaComm estimates there are 35 billion IoT devices worldwide and that in 2025 all IoT devices combined will generate 79.4

Data-driven 76

Data-driven Data Lake Data Warehouse Cost-Benefit 76

AWS Big Data

JUNE 29, 2023

In our solution, we create a notebook to access automotive sensor data, enrich the data, and send the enriched output from the Kinesis Data Analytics Studio notebook to an Amazon Kinesis Data Firehose delivery stream for delivery to an Amazon Simple Storage Service (Amazon S3) data lake. Choose Next.

Data Analytics 76

Data Analytics Analytics IoT Data Lake 76

Cloudera

SEPTEMBER 15, 2023

This information is essential for the management of the telco business, from fault resolution to making sure families have the right content package for their needs, to supply chain dashboards for businesses based on IoT data. Access and the exchange of data is critical for managing the operations in many industries.

Strategy 79

Strategy Advertising IoT B2B 79

CIO Business Intelligence

AUGUST 3, 2022

When Cargill started putting IoT sensors into shrimp ponds, then CIO Justin Kershaw realized that the $130 billion agricultural business was becoming a digital business. To help determine where IT should stop and IoT product engineering should start, Kershaw did not call CIOs of other food and agricultural businesses to compare notes.

Finance 127

Finance IoT Digital Transformation Sales 127

IBM Big Data Hub

JANUARY 18, 2023

In another decade, the internet and mobile started the generate data of unforeseen volume, variety and velocity. It required a different data platform solution. Hence, Data Lake emerged, which handles unstructured and structured data with huge volume. All phases of the data-information lifecycle.

Data Lake 52

Data Lake Data Warehouse Data-driven Metadata 52

Alation

FEBRUARY 13, 2020

There are lots of complex things and lots of information to manage to get reinsurance right. A lot of people in our audience are looking at implementing data lakes or are in the middle of big data lake initiatives. You can easily ingest a couple of thousand data sources and tables into a data lake.

Data-driven 52

Data-driven Data Lake Enterprise Analytics 52

CIO Business Intelligence

DECEMBER 1, 2022

The company is also refining its data analytics operations, and it is deploying advanced manufacturing using IoT devices, as well as AI-enhanced robotics. We expect within the next three years, the majority of our applications will be moved to the cloud.”

Digital Transformation 121

Digital Transformation IoT Data-driven KPI 121

AWS Big Data

MAY 16, 2024

From GPS-enabled smartphones to remote sensing satellites, the sources of geospatial information are multiplying, generating an immense gold mine of location-based insights. However, visualizing and analyzing large-scale geospatial data presents a formidable challenge due to the sheer volume and intricacy of information.

Data Warehouse 109

Data Warehouse Visualization Cost-Benefit Optimization 109

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

SEPTEMBER 12, 2022

The chief information and digital officer for the transportation agency moved the stack in his data centers to a best-of-breed multicloud platform approach and has been on a mission to squeeze as much data out of that platform as possible to create the best possible business outcomes. NJ Transit.

Data Warehouse 113

Data Warehouse Predictive Analytics Data Lake IoT 113

DataKitchen

JULY 27, 2023

Here are a few examples that we have seen of how this can be done: Batch ETL with Azure Data Factory and Azure Databricks: In this pattern, Azure Data Factory is used to orchestrate and schedule batch ETL processes. Azure Blob Storage serves as the data lake to store raw data. So go ahead.

Machine Learning 130

Machine Learning Cost-Benefit Data Transformation Testing 130

CIO Business Intelligence

APRIL 11, 2022

billion connected Internet of Things (IoT) devices by 2025, generating almost 80 billion zettabytes of data at the edge. This next manifestation of centralized data strategy emanates from past experiences with trying to coalesce the enterprise around a large-scale monolithic data lake. over last year.

Optimization 52

Optimization Data Lake Data Strategy Internet of Things 52

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 83

Data Lake Data Analytics Analytics Data Processing 83

CIO Business Intelligence

JULY 17, 2023

It’s about possessing meaningful data that helps make decisions around product launches or product discontinuations, because we have information at the product and region level, as well as margins, profitability, transport costs, and so on. How is Havmor leveraging emerging technologies such as cloud, internet of things (IoT), and AI?

IT 80

IT Digital Transformation IoT Internet of Things 80

Cloudera

SEPTEMBER 23, 2020

The system provides all of the necessary information and components required to audit security, but the security assessment process is not fully automated. Data Catalog helps you understand data across multiple clusters and across multiple environments (on-premises, cloud, and IOT). Sensitive data identification.

Data Lake 82

Data Lake Metadata IoT Enterprise 82

CIO Business Intelligence

JULY 12, 2023

A massive amount of data is already collected from sensors across all processes and from all supply chain partners. That information is now stored in a way that makes it useable to different tools. “We We created a data lake, so we have access to all that data in a very efficient way,” says Papermaster.

Manufacturing 90

Manufacturing Cost-Benefit Data Lake Optimization 90

AWS Big Data

JUNE 7, 2023

Cargotec captures terabytes of IoT telemetry data from their machinery operated by numerous customers across the globe. This data needs to be ingested into a data lake, transformed, and made available for analytics, machine learning (ML), and visualization. This is the output of the previous import job.

Metadata 55

Metadata Data Lake Machine Learning Big Data 55

AWS Big Data

FEBRUARY 6, 2023

Finally, we show you the technical information to use the tool. Use case overview Migrating Hadoop workloads to Amazon EMR accelerates big data analytics modernization, increases productivity, and reduces operational cost. Refactoring coupled compute and storage to a decoupling architecture is a modern data solution.

Cost-Benefit 52

Cost-Benefit Data Lake Dashboards Big Data 52

CIO Business Intelligence

FEBRUARY 12, 2024

Credo che il change management sia un tema fondamentale, che ogni CIO deve gestire”, afferma Andrea Roero, Chief information officer di Molteni, gruppo di aziende dell’arredo di design Made in Italy. Il CIO è un information & innovation officer e guida le implementazioni che hanno diretto valore per la crescita aziendale.

Digital Transformation 79

Digital Transformation Management Business Intelligence Internet of Things 79

CIO Business Intelligence

APRIL 22, 2024

Sicuramente la grande maggioranza dei Chief Information Officer definisce “priorità numero uno” la sicurezza dei sistemi IT aziendali. Per esempio, “i PoC aiutano a definire i parametri in base ai quali organizzare i data lake o i criteri per la digitalizzazione dei workflow. CIO, Cybercrime, Data and Information Security

Data Lake 88

Data Lake Testing Management IoT 88

Cloudera

MAY 15, 2019

A notable expert and clinical information systems specialist, Charles, offers his 25-plus years of strategic leadership. He is a successful architect of healthcare data warehouses, clinical and business intelligence tools, big data ecosystems, and a health information exchange. American Water.

Enterprise 48

Enterprise Data Lake Data mining IoT 48

AWS Big Data

FEBRUARY 6, 2023

Then it retrieves the job history information (YARN logs from application managers) by calling the YARN ResourceManager application API. For more information on how to use the YARN log organizer, refer to the yarn-log-organizer GitHub repo. This information helps you understand who submits an application to a queue.

Dashboards 78

Dashboards Optimization Data Lake Cost-Benefit 78

AWS Big Data

FEBRUARY 21, 2023

Dimensional models have a distinct structure and organize data to provide reports that increase performance. In a dimensional model, a transaction record is divided either into facts (often numerical), additive transactional data, or dimensions (referential information that gives context to the facts). What is a hybrid model?

Data Warehouse 67

Data Warehouse Data Lake Cost-Benefit Modeling 67