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 108

Optimization Snapshot Data Lake Metadata 108

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 87

Data Lake IoT Internet of Things Data-driven 87

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 111

Analytics IoT Data-driven Snapshot 111

Sisense

JUNE 11, 2019

Trends Changing Big Data. Three trends we want to cover regarding the evolution of Big Data are the continued growth of IoT , the expanded array of querying techniques , and the rise of the cloud. First off, IoT, the Internet of Things. The Internet has always, technically, been on “things”.

Big Data 73

Big Data Slice and Dice IoT Data Lake 73

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

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 70

Analytics Data Warehouse Data Lake Metadata 70

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 74

Forecasting Management IoT Data-driven 74

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

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

Cloudera

AUGUST 27, 2020

With customer-centricity in mind, Manulife set out to find ways of gathering scattered and locked up customer data and bringing it together to provide real-time data insights to the business users. They wanted a holistic view of their customers, in order to provide better services.

Internet of Things 96

Internet of Things Data Lake Uncertainty IoT 96

CIO Business Intelligence

FEBRUARY 12, 2024

La trasformazione digitale implica il passaggio graduale alla nuova data platform per raccogliere e aggregare i dati dal data lake (con sistemi BIM, Business Information Modelling) e poi metterli su cruscotti e condurre le analisi con la business intelligence.

Digital Transformation 98

Digital Transformation Management Business Intelligence Internet of Things 98

In(tegrate) the Clouds

AUGUST 4, 2016

Also driving this trend is the fact that cloud data warehousing and analytics have moved from rogue departmental use cases to enterprise deployments. The third trend is the Internet of Things (IoT). It’s already happening today in some industries with data velocity, variety, and, of course, volume.

IoT 45

IoT Internet of Things Data Lake Data Warehouse 45

Sanjeev Mohan

FEBRUARY 28, 2018

However, most data privacy discussions veered towards the EU GDPR ([link] which is now less than 100 days away from enforcement (May 25, 2018). Data warehouse modernization was a common theme followed by developing data lakes. Migrating to the cloud was very high on everyone’s priority.

Management 52

Management Internet of Things Data Lake IoT 52

AWS Big Data

DECEMBER 13, 2023

Apache Kafka is an open-source distributed event streaming platform used by thousands of companies for high-performance data pipelines, streaming analytics, data integration, and mission-critical applications. Internet-of-Things [ IoT] devices, system telemetry data, or clickstream data) from a busy website or application.

Data Warehouse 96

Data Warehouse Snapshot Data Processing Management 96

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

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 72

Data Analytics Analytics IoT Data Lake 72

Data Virtualization

JUNE 2, 2023

The post The Energy Utilities Series: Challenges and Opportunities of Decarbonization (Post 2 of 6) appeared first on Data Management Blog - Data Integration and Modern Data Management Articles, Analysis and Information. Decarbonization is the process of transitioning from.

Data Integration 52

Data Integration Internet of Things Management Data Lake 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 78

Data Lake Data Analytics Analytics Data Processing 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 98

Data-driven Data Lake Data Warehouse Cost-Benefit 98

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 98

IT Digital Transformation IoT Internet of Things 98

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

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 72

IoT Prescriptive Analytics Digital Transformation Internet of Things 72

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

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. Start using APs as an IoT gateway. 96% of corporate networks have or will have Internet of Things devices and sensors connecting to them[3]. Future proof with Wi-Fi 6E.

IoT 52

IoT Internet of Things Data Lake Optimization 52

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.

Data Strategy 52

Data Strategy Strategy Internet of Things Data Warehouse 52

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.

Management 77

Management Metadata Testing Internet of Things 77

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

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

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 is no longer just an IT issue. As organizations become data-driven and awash in an overwhelming amount of data from multiple data sources (AI, IOT, ML, etc.),

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.

Strategy 52

Strategy Cost-Benefit Metrics Data Lake 52