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 134

Analytics IoT Data-driven Snapshot 134

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 105

Data Lake Data mining IoT Digital Transformation 105

AWS Big Data

JUNE 29, 2023

Notebooks are provisioned quickly and provide a way for you to instantly view and analyze your streaming data. This pipeline could further be used to send data to Amazon OpenSearch Service or other targets for additional processing and visualization. To generate the real-time sensor data, we employ the AWS IoT Device Simulator.

Data Analytics 104

Data Analytics Analytics IoT Data Lake 104

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. From the edge to the cloud.

Internet of Things 105

Internet of Things IoT Manufacturing Machine Learning 105

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 97

Analytics Data Warehouse Data Lake Metadata 97

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. provides a visual ETL tool for authoring jobs to read from and write to Amazon Redshift, using the Redshift Spark connector for connectivity. AWS Glue 4.0

IoT 111

IoT Data Warehouse Cost-Benefit Reporting 111

AWS Big Data

MAY 16, 2024

However, visualizing and analyzing large-scale geospatial data presents a formidable challenge due to the sheer volume and intricacy of information. This often overwhelms traditional visualization tools and methods. Figure 1 – Map built with CARTO Builder and the native support to visualize H3 indexes What are spatial indexes?

Data Warehouse 119

Data Warehouse Visualization Cost-Benefit Data-driven 119

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 Internet of Things Digital Transformation 73

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.

Machine Learning 130

Machine Learning Cost-Benefit Data Transformation Testing 130

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. That is a very low number.

Manufacturing 81

Manufacturing Contextual Data IoT Internet of Things 81

AWS Big Data

FEBRUARY 6, 2023

In this post, we dive deep into the tool, walking through all steps from log ingestion, transformation, visualization, and architecture design to calculate TCO. With QuickSight, you can visualize YARN log data and conduct analysis against the datasets generated by pre-built dashboard templates and a widget.

Dashboards 98

Dashboards Optimization Data Lake Cost-Benefit 98

Cloudera

SEPTEMBER 6, 2022

Previously, there were three types of data structures in telco: . Entity data sets — i.e. marketing data lakes . It is an edge-to-AI suite of capabilities, including edge analytics, data staging, data quality control, data visualization tools, and machine learning.

Data Architecture 84

Data Architecture Cost-Benefit Digital Transformation Business Driver 84

Sisense

JUNE 12, 2019

Soon after, we announced the release of Sisense Hunch which provides the ability to transform even the most massive data sets into a deep neural net which can be placed anywhere, even on an IoT device. Data literacy and data skills, which created the forgotten dark data lakes in the first place, are still scarce.

Analytics 75

Analytics Data-driven Dashboards IoT 75

AWS Big Data

AUGUST 1, 2024

We can determine the following are needed: An open data format ingestion architecture processing the source dataset and refining the data in the S3 data lake. This requires a dedicated team of 3–7 members building a serverless data lake for all data sources. Vijay Bagur is a Sr.

Data Warehouse 115

Data Warehouse KPI Optimization Cost-Benefit 115

BizAcuity

MAY 10, 2022

Microsoft also releases Power BI, a data visualization and business intelligence tool. Google launches BigQuery, its own data warehousing tool and Microsoft introduces Azure SQL Data Warehouse and Azure Data Lake Store. 2018: IoT and edge computing open up new opportunities for organizations.

Data-driven 52

Data-driven IoT Unstructured Data Data Lake 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. Canva is an online design and visual communication platform.

IoT 59

IoT Data-driven Data Lake Data Strategy 59

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

Cloudera

DECEMBER 19, 2018

Big data architecture is used to augment different applications, operating alongside or in a discrete fashion with a data warehouse. A big data implementation may even replace a data warehouse entirely with a data lake. A modern data warehouse plays a foundational role in analytics and BI.

Data Warehouse 52

Data Warehouse Analytics Big Data Data Architecture 52

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.

Metadata 59

Metadata Data Lake Machine Learning Big Data 59

FineReport

APRIL 11, 2023

Every user can now create interactive reports and utilize data visualization to disseminate knowledge to both internal and external stakeholders. A business intelligence dashboard, also known as a BI dashboard, is a tool that presents important business metrics and data points in a visual and analytical format on a single screen.

Dashboards 40

Dashboards Business Intelligence Metrics Cost-Benefit 40

Alation

APRIL 14, 2022

A useful feature for exposing patterns in the data. Visual Profiling. Supports the ability to interact with the actual data and perform analysis on it. Pushing data to a data lake and assuming it is ready for use is shortsighted. Parametrization. A technique to automate changes in iterative passes.

Metadata 59

Metadata Data Governance Data-driven Modeling 59

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 116

Analytics IoT Dashboards Data Lake 116

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

NOVEMBER 11, 2024

For example, for its railway equipment business, Escorts Kubota produces IoT-based devices such as brakes and couplers. How can we make those products smarter by generating a lot of data? This initiative currently uses static data, but Kakkar has bolder ambitions for its agronomic advisory.

IoT 110

IoT Experimentation Dashboards Data Lake 110