AWS Big Data

JULY 29, 2024

In the era of big data, data lakes have emerged as a cornerstone for storing vast amounts of raw data in its native format. They support structured, semi-structured, and unstructured data, offering a flexible and scalable environment for data ingestion from multiple sources.

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Metadata Snapshot Data Lake Metrics 126

CIO Business Intelligence

MAY 8, 2024

In the age of big data, where information is generated at an unprecedented rate, the ability to integrate and manage diverse data sources has become a critical business imperative. Traditional data integration methods are often cumbersome, time-consuming, and unable to keep up with the rapidly evolving data landscape.

Data Integration 102

Data Integration IoT Cost-Benefit Internet of Things 102

AWS Big Data

NOVEMBER 29, 2023

This cloud service was a significant leap from the traditional data warehousing solutions, which were expensive, not elastic, and required significant expertise to tune and operate. Customers use Redshift ML to run an average of over 10 billion predictions a day within their data warehouses.

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Data Warehouse Analytics Data Lake Machine Learning 130

Cloudera

AUGUST 3, 2021

Advanced analytics and enterprise data empower companies to not only have a completely transparent view of movement of materials and products within their line of sight, but also leverage data from their suppliers to have a holistic view 2-3 tiers deep in the supply chain. Open source solutions reduce risk.

Analytics 111

Analytics Digital Transformation Forecasting Risk 111

CIO Business Intelligence

JUNE 23, 2022

Cloudera customers run some of the biggest data lakes on earth. These lakes power mission critical large scale data analytics, business intelligence (BI), and machine learning use cases, including enterprise data warehouses. Cloud Management

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Data Lake Data Warehouse Machine Learning Data-driven 98

Cloudera

JUNE 18, 2022

Cloudera customers run some of the biggest data lakes on earth. These lakes power mission critical large scale data analytics, business intelligence (BI), and machine learning use cases, including enterprise data warehouses. The post The Future of the Data Lakehouse – Open appeared first on Cloudera Blog.

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Data Lake Data Warehouse Machine Learning Data-driven 94

IBM Big Data Hub

MAY 9, 2023

After some impressive advances over the past decade, largely thanks to the techniques of Machine Learning (ML) and Deep Learning , the technology seems to have taken a sudden leap forward. It helps facilitate the entire data and AI lifecycle, from data preparation to model development, deployment and monitoring.

Data Warehouse 106

Data Warehouse Machine Learning Cost-Benefit Metadata 106

Sisense

DECEMBER 11, 2019

With Itzik’s wisdom fresh in everyone’s minds, Scott Castle, Sisense General Manager, Data Business, shared his view on the role of modern data teams. Scott whisked us through the history of business intelligence from its first definition in 1958 to the current rise of Big Data.

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Data Lake Big Data Sales Data-driven 80

CIO Business Intelligence

APRIL 12, 2022

Driving this parallel growth in smart manufacturing and supply chain technology are a handful of technologies: Industrial Internet of Things (IIoT):devices that enable data collection from more interaction points, factory automation, shipment tracking via GPS and machine-to-machine (M2M) and machine-to-people (M2P) communications Artificial intelligence (..)

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IoT Analytics Manufacturing Internet of Things 105

Cloudera

JANUARY 13, 2021

To drive the vision of becoming a data-enabled organisation, UOB developed the EDAG (Enterprise Data Architecture and Governance) platform. The platform is built on a data lake that centralises data in UOB business units across the organisation.

Digital Transformation 56

Digital Transformation Data-driven Data Lake Big Data 56

Alation

FEBRUARY 20, 2020

In a nod to AC/DC, a wink to Gartner’s research report, Data Catalogs Are the New Black in Data Management and Analytics , and inspiration from the inaugural Forrester Wave : Machine Learning Data Catalogs , we have temporarily set aside our Alation orange and have been rocking “black” for the Alation MLDC World Tour.

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Machine Learning Metadata Reporting Data-driven 52

IBM Big Data Hub

FEBRUARY 5, 2024

Using a hybrid AI or machine learning (ML) model, you can train it on enterprise and published data, including newly acquired assets and sites. Generate work instructions Field service technicians, maintenance planners and field performance supervisors comprise your front-line team.

Optimization 89

Optimization Management Key Performance Indicator Publishing 89

IBM Big Data Hub

DECEMBER 20, 2023

virtual machines, databases, applications, microservices and nodes). Workloads involving web content, big data analytics and AI are ideal for a hybrid cloud infrastructure. Business acceleration : Harness the latest cloud technologies, such as generative AI and machine learning, to gain a competitive edge.

Strategy 93

Strategy Cost-Benefit Digital Transformation Optimization 93

Alation

FEBRUARY 13, 2020

Key analyst firms like Forrester, Gartner, and 451 Research have cited “ soaring demands from data catalogs ”, pondered whether data catalogs are the “ most important breakthrough in analytics to have emerged in the last decade ,” and heralded the arrival of a brand new market: Machine Learning Data Catalogs.

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Metadata Machine Learning Data Governance Reporting 52

IBM Big Data Hub

OCTOBER 20, 2023

Artificial intelligence platforms enable individuals to create, evaluate, implement and update machine learning (ML) and deep learning models in a more scalable way. AI platform tools enable knowledge workers to analyze data, formulate predictions and execute tasks with greater speed and precision than they can manually.

Machine Learning 71

Machine Learning Manufacturing Deep Learning Cost-Benefit 71

Cloudera

SEPTEMBER 12, 2018

It’s a big week for us, as many Clouderans descend on New York for the Strata Data Conference. The week is typically filled with exciting announcements from Cloudera and many partners and others in the data management, machine learning and analytics industry. Enterprise Machine Learning: .

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Machine Learning Big Data Data Science Data Warehouse 45

Smart Data Collective

FEBRUARY 25, 2021

New machine learning and data analytics tools have made it easier to understand their buying decisions and optimize your funnels, both through your offline and online marketing channels. Do you want your brand’s name to come to their mind first whenever they require a product or service that you’re offering?

Software 69

Software Machine Learning Data-driven Marketing 69

Sisense

OCTOBER 6, 2020

It provides the raw material for information that is more varied and harder to organize than structured, qualitative data. Natural language processing (NLP), involving machine learning , is how your BI and analytics platform can understand the meaning of unstructured data such as emails, comments, feedback, and instant messages.

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Statistics Unstructured Data Data-driven Visualization 98

AWS Big Data

MARCH 27, 2024

This means you can seamlessly combine information such as clinical data stored in HealthLake with data stored in operational databases such as a patient relationship management system, together with data produced from wearable devices in near real-time.

Data Analytics 118

Data Analytics Analytics Data Warehouse Data Lake 118

IBM Big Data Hub

JUNE 14, 2023

In smart factories, IIoT devices are used to enhance machine vision, track inventory levels and analyze data to optimize the mass production process. Artificial intelligence (AI) One of the most significant benefits of AI technology in smart manufacturing is its ability to conduct real-time data analysis efficiently.

Manufacturing 71

Manufacturing Technology Internet of Things Cost-Benefit 71

Alation

FEBRUARY 20, 2020

The rise of data lakes, IOT analytics, and big data pipelines has introduced a new world of fast, big data. For EA professionals, relying on people and manual processes to provision, manage, and govern data simply does not scale. How Data Catalogs Can Help. [2] -->.

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Data Governance Dashboards Data Lake Big Data 52

AWS Big Data

MARCH 25, 2024

Foundation models (FMs) are large machine learning (ML) models trained on a broad spectrum of unlabeled and generalized datasets. Streaming data facilitates the constant flow of diverse and up-to-date information, enhancing the models’ ability to adapt and generate more accurate, contextually relevant outputs. versions).

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Data Lake Unstructured Data Management Snapshot 121

IBM Big Data Hub

JANUARY 29, 2024

For you as a business leader, this means pivoting from manual methods to a more streamlined, technology-driven and data-enabled approach. Able to analyze large data sets, predict trends and make informed decisions, AI’s role will be to transform mere automation into intelligent operation.

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Data-driven Optimization Machine Learning Consulting 64

AWS Big Data

MAY 4, 2023

Encored develops machine learning (ML) applications predicting and optimizing various energy-related processes, and their key initiative is to predict the amount of power generated at renewable energy power plants. In addition to these benefits, Lambda allows you to configure ephemeral storage (/tmp) between 512–10,240 MB.

Data-driven 52

Data-driven Technology Cost-Benefit Machine Learning 52

IBM Big Data Hub

SEPTEMBER 12, 2023

Automation streamlines the root-cause analysis process with machine learning algorithms, anomaly detection techniques and predictive analytics, and it helps identify patterns and anomalies that human operators might miss. This information is vital for capacity planning and performance optimization.

Data-driven 63

Data-driven Cost-Benefit Predictive Analytics Machine Learning 63

AWS Big Data

FEBRUARY 22, 2023

The AWS Glue Data Catalog stores the metadata, and Amazon Athena (a serverless query engine) is used to query data in Amazon S3. AWS Secrets Manager is an AWS service that can be used to store sensitive data, enabling users to keep data such as database credentials out of source code.

Data Lake 52

Data Lake Dashboards Cost-Benefit Data Warehouse 52

IBM Big Data Hub

DECEMBER 7, 2023

Initially, they were designed for handling large volumes of multidimensional data, enabling businesses to perform complex analytical tasks, such as drill-down , roll-up and slice-and-dice. Early OLAP systems were separate, specialized databases with unique data storage structures and query languages.

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OLAP Slice and Dice Cost-Benefit Data Warehouse 57

AWS Big Data

SEPTEMBER 29, 2023

With these techniques, you can enhance the processing speed and accessibility of your XML data, enabling you to derive valuable insights with ease. Amogh has received his master’s in Computer Science specializing in Machine Learning. xml and technique2.xml. Sheela Sonone is a Senior Resident Architect at AWS.

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Metadata Visualization Data-driven Optimization 71

Smart Data Collective

MARCH 22, 2023

Now, Big Data in the maritime industry is the new revolution. An enormous amount of data is produced in an industry like the maritime industry, which manages many people and cargo. And data is everything in the twenty-first century. Fraud Detection: Analytics tools can be used to detect fraud in shipping operations.

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Big Data Advertising Data-driven Data Science 115

Andrew White

JANUARY 11, 2021

The data suggests several things: The work of traditional analytics and BI continues towards democratization in the business unit directly, we call this domain analytics in our research, part of domain D&A. Many data science labs are set up as shared services. But for them, big data evolved into all data and all formats.

Data Analytics 52

Data Analytics Analytics Data-driven Finance 52

Sisense

JANUARY 13, 2020

Here are three key areas where data adds value to the manufacturing process to give companies a competitive edge. How data enhances product development. Every part of a business generates big Data. At the same time, data can inform a company about potential markets so it can judge how much risk an innovation carries.

Manufacturing 52

Manufacturing Data Lake Big Data Data Warehouse 52

Jet Global

MAY 9, 2024

A data pipeline is a series of processes that move raw data from one or more sources to one or more destinations, often transforming and processing the data along the way. Data pipelines support data science and business intelligence projects by providing data engineers with high-quality, consistent, and easily accessible data.

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Data Lake Data Warehouse Business Intelligence Machine Learning 52

AWS Big Data

JANUARY 29, 2025

Amazon EMR has long been the leading solution for processing big data in the cloud. Amazon EMR is the industry-leading big data solution for petabyte-scale data processing, interactive analytics, and machine learning using over 20 open source frameworks such as Apache Hadoop , Hive, and Apache Spark.

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