Cloudera

JANUARY 30, 2024

Here are some of the key use cases: Predictive maintenance: With time series data (sensor data) coming from the equipment, historical maintenance logs, and other contextual data, you can predict how the equipment will behave and when the equipment or a component will fail. Eliminate data silos.

Manufacturing 79

Manufacturing Contextual Data IoT Digital Transformation 79

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

For those models to produce meaningful outcomes, organizations need a well-defined data lifecycle management process that addresses the complexities of capturing, analyzing, and acting on data. In modern hybrid environments, data traverses clouds, on-premise infrastructure and IoT networks, so the process can get very complex.

Data Lake 88

Data Lake IoT Internet of Things Data-driven 88

Cloudera

SEPTEMBER 15, 2021

Leveraging the Internet of Things (IoT) allows you to improve processes and take your business in new directions. That’s where you find the ability to empower IoT devices to respond to events in real time by capturing and analyzing the relevant data. The edge also makes it easier to scale data-capture operations.

IoT 119

IoT Analytics Internet of Things Data Lake 119

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. Data and AI as digital fundamentals.

Manufacturing 144

Manufacturing Digital Transformation IoT Internet of Things 144

CIO Business Intelligence

APRIL 11, 2022

With the focus shifting to distributed data strategies, the traditional centralized approach can and should be reimagined and transformed to become a central pillar of the modern IT data estate. billion connected Internet of Things (IoT) devices by 2025, generating almost 80 billion zettabytes of data at the edge.

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

APRIL 18, 2023

2] AIOps can help identify areas for optimization using existing hardware by combing through a tsunami of data faster than any human ever could. 96% of corporate networks have or will have Internet of Things devices and sensors connecting to them[3]. Adopt AI to better leverage existing hardware investments.

IoT 52

IoT Internet of Things Data Lake Optimization 52

CIO Business Intelligence

FEBRUARY 28, 2023

This year’s event will explore themes of 5G acceleration, immersive technology, open networks, fintech, and ‘Digital Everything’, encompassing intelligent solutions, Internet-of-Things, Industry 4.0, This comprises two cooperation frameworks, GoCloud and GrowCloud. GoCloud aims to broaden partner competencies on Huawei Cloud.

Digital Transformation 83

Digital Transformation Internet of Things Data Lake Enterprise 83

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

MARCH 7, 2023

It covers how to use a conceptual, logical architecture for some of the most popular gaming industry use cases like event analysis, in-game purchase recommendations, measuring player satisfaction, telemetry data analysis, and more. A data hub contains data at multiple levels of granularity and is often not integrated.

Analytics 74

Analytics Data Warehouse Data Lake Metadata 74

Sisense

JUNE 11, 2019

The term “Big Data” has lost its relevance. The fact remains, though: every dataset is becoming a Big Data set, whether its owners and users know (and understand) that or not. Big Data isn’t just something that happens to other people or giant companies like Google and Amazon. Big Data Today. are all things.

Big Data 73

Big Data Slice and Dice IoT Data Lake 73

CIO Business Intelligence

SEPTEMBER 8, 2022

Most organizations understand the profound impact that data is having on modern business. In Foundry’s 2022 Data & Analytics Study , 88% of IT decision-makers agree that data collection and analysis have the potential to fundamentally change their business models over the next three years.

Cost-Benefit 108

Cost-Benefit Internet of Things Data-driven Data Lake 108

Cloudera

AUGUST 27, 2020

While cloud is the vehicle, it’s what sits on it that makes it so valuable — data. Regardless of where it is stored, whether it’s data-at-rest or data-in-motion, it’s how it’s linked together that enables business leaders to derive intelligence from data.

Internet of Things 100

Internet of Things Data Lake Uncertainty IoT 100

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. However, analyzing large volumes of data can be a time-consuming and resource-intensive task. This is where Athena come in.

Forecasting 78

Forecasting Management IoT Data-driven 78

AWS Big Data

NOVEMBER 14, 2023

Data is a key strategic asset for every organization, and every company is a data business at its core. However, in many organizations, data is typically spread across a number of different systems such as software as a service (SaaS) applications, operational databases, and data warehouses.

IoT 55

IoT Data-driven Data Lake Data Strategy 55

CIO Business Intelligence

APRIL 6, 2022

Improved connectivity, including increased availability of 5G capabilities, coupled with cost-effective edge processing power, is driving the deluge of data that exists outside centralized repositories and traditional data centers. According to IDC estimates , there will be 55.7 over 2021. “The You have to automate it.

Data Strategy 52

Data Strategy Strategy Internet of Things Data Warehouse 52

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. As IoT devices generate large volumes of data, AI is functionally necessary to make sense of this data.

IoT 56

IoT Internet of Things Big Data Data-driven 56

AWS Big Data

JANUARY 8, 2024

The volume of time-sensitive data produced is increasing rapidly, with different formats of data being introduced across new businesses and customer use cases. It aims to provide a framework to create low-latency streaming applications on the AWS Cloud using Amazon Kinesis Data Streams and AWS purpose-built data analytics services.

Analytics 115

Analytics IoT Data-driven Snapshot 115

Sanjeev Mohan

FEBRUARY 28, 2018

My assessment was that many Australian clients have been slow to adopt newer technologies but are now exploring options to enhance their data infrastructure. It is clear that our mandate as data and analytics professionals is leading us to become data ethicists. Ethics topics kept creeping up in our discussions.

Management 52

Management Internet of Things Data Lake IoT 52

David Menninger's Analyst Perspectives

APRIL 8, 2021

Organizations are accelerating their digital transformation and looking for innovative ways to engage with customers in this new digital era of data management. The goal is to understand how to manage the growing volume of data in real time, across all sources and platforms, and use it to inform, streamline and transform internal operations.

Management 248

Management Digital Transformation Business Intelligence Internet of Things 248

Sisense

JANUARY 13, 2020

In Moving Parts , we explore the unique data and analytics challenges manufacturing companies face every day. The world of data in modern manufacturing. Manufacturing companies that adopted computerization years ago are already taking the next step as they transform into smart data-driven organizations.

Manufacturing 52

Manufacturing Data Lake Big Data Data Warehouse 52

AWS Big Data

DECEMBER 13, 2023

usually a data warehouse) needs to reflect those changes in near real-time. With the explosion of data, the number of data systems in organizations has grown. Data silos causes data to live in different sources, which makes it difficult to perform analytics.

Data Warehouse 100

Data Warehouse Snapshot Data Processing Management 100

In(tegrate) the Clouds

AUGUST 4, 2016

Rapid provisioning, ease of use, and cost are just a few of the drivers as data gravity continues to shift. Data gravity means that when a large data set is sitting in a large Hadoop or Splunk instance in an on-premises system, it doesn’t make sense to load all that data into the cloud to run analytics functions.

IoT 45

IoT Internet of Things Data Lake Data Warehouse 45

erwin

DECEMBER 13, 2018

This past year witnessed a data governance awakening – or as the Wall Street Journal called it, a “global data governance reckoning.” There was tremendous data drama and resulting trauma – from Facebook to Equifax and from Yahoo to Marriott. Data is no longer just an IT issue. The list goes on and on. healthcare sector.

Data Governance 91

Data Governance IoT Internet of Things Data-driven 91

Corinium

APRIL 25, 2019

The last 10+ years or so have seen Insurance become as data-driven as any vertical industry. For example, P&C insurance strives to understand its customers and households better through data, to provide better customer service and anticipate insurance needs, as well as accurately measure risks. Yes, definitely!

Insurance 150

Insurance Risk IoT Cost-Benefit 150

Cloudera

FEBRUARY 4, 2019

One of the most promising technology areas in this merger that already had a high growth potential and is poised for even more growth is the Data-in-Motion platform called Hortonworks DataFlow (HDF). CDF, as an end-to-end streaming data platform, emerges as a clear solution for managing data from the edge all the way to the enterprise.

IoT 73

IoT Prescriptive Analytics Digital Transformation Internet of Things 73

Sisense

OCTOBER 6, 2020

Digging into quantitative data Why is quantitative data important What are the problems with quantitative data Exploring qualitative data Qualitative data benefits Getting the most from qualitative data Better together. 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

JUNE 29, 2023

Amazon Kinesis Data Analytics makes it easy to transform and analyze streaming data in real time. In this post, we discuss why AWS recommends moving from Kinesis Data Analytics for SQL Applications to Amazon Kinesis Data Analytics for Apache Flink to take advantage of Apache Flink’s advanced streaming capabilities.

Data Analytics 76

Data Analytics Analytics IoT Data Lake 76

datapine

AUGUST 29, 2022

Unlike other publications on this list, “Everybody Lies” is not a book that covers the technical aspect of big data in its entirety. Instead, it provides a social perspective of the topic by analyzing what Google search data can tell us about human behavior. . – Steven Pinker, author of The Better Angels of our Nature.

Big Data 263

Big Data Data Analytics Analytics Data mining 263

In(tegrate) the Clouds

DECEMBER 21, 2015

From AWS Aurora and Redshift for database management and data warehousing, to AWS GovCloud, which brings public cloud options to US government agencies, AWS continues to set the cloud computing standard for enterprise IT organizations and independent software vendors (ISVs). 2016 will be the year of the data lake.

Technology 45

Technology Internet of Things Digital Transformation Software 45

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

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. Next, an AWS Glue streaming ETL (extract, transform, and load) job is set up to process the incoming data.

Management 82

Management Metadata Testing Internet of Things 82

Alation

AUGUST 2, 2022

Similary, every touchpoint offers data that can help you improve that customer experience, from the number and duration of support interactions to the intuitiveness of your website. Analyzing this data can build your ability to anticipate a customer’s specific needs. But customers aren’t data; they’re people.

Strategy 52

Strategy Cost-Benefit Metrics Data Lake 52

David Menninger's Analyst Perspectives

MAY 13, 2019

Organizations now must store, process and use data of significantly greater volume and variety than in the past.

Business Analytics 180

Business Analytics Big Data Analytics Enterprise 180

Alation

FEBRUARY 20, 2020

Gartner notes that most industries already have CDOs, and predicts that by 2019, 90% of large organizations will have hired a chief data officer. When data is limited to small teams, tribal knowledge might suffice, but add more data and the more people searching for data, and individual knowledge quickly reaches its limits.

Data-driven 52

Data-driven Internet of Things Data Lake Strategy 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! So far, so good.

Modeling 84

Modeling Big Data IoT Data Warehouse 84