Sisense

OCTOBER 15, 2020

One of the main challenges when dealing with streaming data comes from performing stateful transformations for individual events. Unlike a batch processing job that runs within an isolated batch with clear start and end times, a stream processing job runs continuously on each event separately.

Dashboards 98

Dashboards IoT Optimization Internet of Things 98

datapine

SEPTEMBER 29, 2022

from the business interactions), but if not available, then through confirmation techniques of an independent nature. It will indicate whether data is void of significant errors. This means there are no unintended data errors, and it corresponds to its appropriate designation (e.g., date, month, and year).

Data Quality 241

Data Quality Metrics Data-driven Management 241

FineReport

MARCH 7, 2024

As we explore examples of data analysis reports and interactive report data analysis dashboards, we embark on a journey to unravel the nuanced art of transforming raw data into meaningful narratives that empower decision-makers. Try FineReport Now 1. Try FineReport Now 1.1

Dashboards 52

Dashboards Reporting Advertising Statistics 52

IBM Big Data Hub

OCTOBER 16, 2023

They are used in everything from robotics to tools that reason and interact with humans. Curated foundation models, such as those created by IBM or Microsoft, help enterprises scale and accelerate the use and impact of the most advanced AI capabilities using trusted data.

Risk 77

Risk Modeling Management Metadata 77

AWS Big Data

OCTOBER 11, 2023

We introduce you to Amazon Managed Service for Apache Flink Studio and get started querying streaming data interactively using Amazon Kinesis Data Streams. Traditionally, such a legacy call center analytics platform would be built on a relational database that stores data from streaming sources.

Management 103

Management Metadata Analytics Dashboards 103

AWS Big Data

JANUARY 17, 2024

Next, we create an AWS Cloud9 interactive development environment (IDE). His expertise lies in assisting customers with migrating intricate enterprise systems and databases to AWS, constructing enterprise data warehousing and data lake platforms. Melody Yang is a Senior Big Data Solution Architect for Amazon EMR at AWS.

Data Lake 91

Data Lake Snapshot Big Data Data-driven 91

Ontotext

APRIL 4, 2019

We minimized the time between the event (and what the journalist wanted to say about it) and the moment the reader or viewer could consume it. Milena Yankova : The professions of the future are related to understanding and processing data, transforming it into information and extracting knowledge from it.

Recreation/Entertainment 76

Recreation/Entertainment Testing Enterprise Knowledge Discovery 76

AWS Big Data

OCTOBER 11, 2023

Due to this low complexity, the solution uses AWS serverless services to ingest the data, transform it, and make it available for analytics. The architecture uses AWS Lambda , a serverless, event-driven compute service that lets you run code without provisioning or managing servers.

Visualization 94

Visualization Dashboards Data-driven Gap analysis 94

Cloudera

JUNE 17, 2022

It is widely adopted by network device manufacturers to log event messages from routers, switches, firewalls, load balancers, and other networking equipment. Syslog typically follows an architecture of a syslog client that collects event data from the device and pushes it to a syslog server. .

Cost-Benefit 88

Cost-Benefit IoT Data Warehouse Manufacturing 88

AWS Big Data

JULY 27, 2023

DataBrew is a visual data preparation tool that enables you to clean and normalize data without writing any code. The over 200 transformations it provides are now available to be used in an AWS Glue Studio visual job. Create a DataBrew recipe Start by registering the data store for the claims file.

Visualization 80

Visualization Cost-Benefit Data Quality Interactive 80

CIO Business Intelligence

JUNE 29, 2022

But the features in Power BI Premium are now more powerful than the functionality in Azure Analysis Services, so while the service isn’t going away, Microsoft will offer an automated migration tool in the second half of this year for customers who want to move their data models into Power BI instead. Azure Data Factory.

Data Lake 116

Data Lake Analytics Data Warehouse Machine Learning 116

Alation

OCTOBER 27, 2022

Few actors in the modern data stack have inspired the enthusiasm and fervent support as dbt. This data transformation tool enables data analysts and engineers to transform, test and document data in the cloud data warehouse. Jason: What’s the value of using dbt with the data catalog ?

Metrics 52

Metrics Dashboards Sales Reporting 52

bridgei2i

SEPTEMBER 3, 2020

So first, the ability to capture and synthesize data signals from multiple and diverse sources as events occur. So you don’t have to wait for a month to get data. You can, again, wait for two weeks after an event has happened. You need to know that the event is happening and do something about it now.

Enterprise 94

Enterprise Insurance Digital Transformation Interactive 94

Sisense

AUGUST 6, 2020

As an AI product manager, here are some important data-related questions you should ask yourself: What is the problem you’re trying to solve? What data transformations are needed from your data scientists to prepare the data? Data continues to proliferate , and only AI assistance can help humans make sense of it.

Management 95

Management Machine Learning Key Performance Indicator Cost-Benefit 95

AWS Big Data

FEBRUARY 21, 2023

Solutions Architect – AWS SafeGraph is a geospatial data company that curates over 41 million global points of interest (POIs) with detailed attributes, such as brand affiliation, advanced category tagging, and open hours, as well as how people interact with those places.

Cost-Benefit 55

Cost-Benefit Informatics Optimization Management 55

DataRobot Blog

APRIL 4, 2022

More often than I would like to admit, I have heard the following phrase from a client: “We do not have the data for the five media campaigns we ran last year, but we have data for the other four. the model is able to explore a very wide set of “shapes” for adstock and find the one suggested by the data.

Machine Learning 52

Machine Learning Sales Measurement ROI 52

AWS Big Data

JUNE 29, 2023

Solution overview For our use case, we use several AWS services to stream, ingest, transform, and analyze sample automotive sensor data in real time using Kinesis Data Analytics Studio. Kinesis Data Analytics Studio allows us to create a notebook, which is a web-based development environment. View the stream data.

Data Analytics 72

Data Analytics Analytics IoT Data Lake 72

Cloudera

OCTOBER 14, 2020

Apache Spark unifies batch processing, real-time processing, stream analytics, machine learning, and interactive query in one-platform. YuniKorn is also compatible with the management commands and utilities, such as cordon nodes, retrieving events via kubectl, etc. Background. Why choose K8s for Apache Spark. Acknowledgments.

Machine Learning 112

Machine Learning Management Big Data Optimization 112

Domino Data Lab

AUGUST 20, 2019

There are three major strategies: manual techniques based on our knowledge of the problem and the data, random sampling techniques that use coin flipping to keep or discard data, and model-based techniques that attempt to keep features that interact well with our learning model. The new center of our data is zero.

Testing 68

Testing Modeling Interactive Measurement 68

AWS Big Data

JANUARY 27, 2023

The AWS Glue Data Catalog provides a uniform repository where disparate systems can store and find metadata to keep track of data in data silos. Apache Flink is a widely used data processing engine for scalable streaming ETL, analytics, and event-driven applications. Transformed data can be stored in Amazon S3.

Data Lake 61

Data Lake Metadata Business Analysis Data-driven 61

AWS Big Data

DECEMBER 21, 2023

After the data lands in Amazon S3, smava uses the AWS Glue Data Catalog and crawlers to automatically catalog the available data, capture the metadata, and provide an interface that allows querying all data assets. The data products from the Business Vault and Data Mart stages are now available for consumers.

Data Lake 87

Data Lake Data Warehouse B2B Data-driven 87

Jet Global

APRIL 24, 2024

This approach allows you and your customers to harness the full potential of your data, transforming it into interactive, AI-driven conversations that can significantly enhance user engagement and insight discovery. Chatflows are the key to unlocking the true potential of AI. Privacy Policy.

Business Intelligence 52

Business Intelligence Dashboards Software Reporting 52

Jet Global

JULY 19, 2023

View mode must respect interactivity, responsive layout and limit operations with dashboard. New Interactive Legends for all Visuals simplifies report navigation for non-technical users. Context Menu for Non-Grouped Data provides further self-service user empowerment with our new context menu for ungrouped data.

Dashboards 52

Dashboards Visualization Reporting Interactive 52

Jet Global

OCTOBER 30, 2023

Together, CXO and Power BI provide you with access to insights from both EPM and BI data in one tool. You can now elevate their decision-making process by drilling down into more detailed data, and enriching EPM figures with non-financial data. Transforming Financial Reporting with Dynamic Dashboards Download Now 1.

Dashboards 52

Dashboards Reporting Operational Reporting Software 52

Jet Global

AUGUST 24, 2023

It streamlines data integration, ensures real-time access to accurate information, enhances collaboration, and provides the flexibility needed to adapt to evolving ERP systems and business requirements. Data transformation ensures that the data aligns with the requirements of the new cloud ERP system. Privacy Policy.

Finance 52

Finance Reporting Data Integration Risk 52

Jet Global

FEBRUARY 23, 2024

This field guide to data mapping will explore how data mapping connects volumes of data for enhanced decision-making. Why Data Mapping is Important Data mapping is a critical element of any data management initiative, such as data integration, data migration, data transformation, data warehousing, or automation.

Data Warehouse 52

Data Warehouse Reporting Data Transformation Sales 52

Jet Global

MAY 1, 2023

This is in contrast to traditional BI, which extracts insight from data outside of the app. As rich, data-driven user experiences are increasingly intertwined with our daily lives, end users are demanding new standards for how they interact with their business data. Yes—but basic dashboards won’t be enough.

Analytics 52

Analytics Cost-Benefit Visualization Dashboards 52