AWS Big Data

MARCH 29, 2024

QuickSight makes it straightforward for business users to visualize data in interactive dashboards and reports. You can slice data by different dimensions like job name, see anomalies, and share reports securely across your organization. Select Publish new dashboard as , and enter GlueObservabilityDashboard.

Metrics 119

Metrics Visualization Dashboards Publishing 119

AWS Big Data

OCTOBER 21, 2024

Let’s briefly describe the capabilities of the AWS services we referred above: AWS Glue is a fully managed, serverless, and scalable extract, transform, and load (ETL) service that simplifies the process of discovering, preparing, and loading data for analytics.

Sales 105

Sales Data-driven Data Processing Key Performance Indicator 105

DataKitchen

APRIL 28, 2021

Industry analysts who follow the data and analytics industry tell DataKitchen that they are receiving inquiries about “data fabrics” from enterprise clients on a near-daily basis. Gartner included data fabrics in their top ten trends for data and analytics in 2019.

Statistics 246

Statistics Optimization Data Analytics Technology 246

AWS Big Data

JULY 26, 2023

Many AWS customers have integrated their data across multiple data sources using AWS Glue , a serverless data integration service, in order to make data-driven business decisions. Are there recommended approaches to provisioning components for data integration?

Data Integration 80

Data Integration Snapshot Testing Visualization 80

Smart Data Collective

OCTOBER 5, 2020

Employing an analytical system in a data-driven business can help it to discover useful trends, information, conclusions and elevated decision making. Power BI proves to be the best tool for analysis and visualization of data. Data Processing, Data Integration, and Data Presenting form the nucleus of Power BI.

Interactive 104

Interactive Visualization Dashboards Business Intelligence 104

Smart Data Collective

NOVEMBER 24, 2020

Today, Microsoft’s Power BI leads the market of BI-a-a-S, being an excellent tool for data collection, analyzing and visualization. Unique feature: custom visualizations to fit your business needs better. Unique feature: drag and drop functionality to create visualizations faster. QlickSense. SAP Lumira.

Business Intelligence 134

Business Intelligence Visualization Dashboards Prescriptive Analytics 134

David Menninger's Analyst Perspectives

OCTOBER 8, 2024

In addition to providing the core functionality for standardizing data governance and enabling self-service data access across a distributed enterprise, Collibra was early to identify the need to provide customers with information about how, when and where data is being produced and consumed across an enterprise.

Data Quality 130

Data Quality Data Governance Enterprise Visualization 130

Ontotext

MARCH 24, 2021

For these reasons, publishing the data related to elections is obligatory for all EU member states under Directive 2003/98/EC on the re-use of public sector information and the Bulgarian Central Elections Committee (CEC) has released a complete export of every election database since 2011. Easily accessible linked open elections data.

Statistics 142

Statistics Publishing Data Processing Metrics 142

AWS Big Data

DECEMBER 4, 2024

Collaborate and build faster using familiar AWS tools for model development, generative AI, data processing, and SQL analytics with Amazon Q Developer , the most capable generative AI assistant for software development, helping you along the way. Having confidence in your data is key.

Data Analytics 86

Data Analytics Analytics Data Lake Data Quality 86

AWS Big Data

OCTOBER 11, 2023

Under the Transparency in Coverage (TCR) rule , hospitals and payors to publish their pricing data in a machine-readable format. The availability of machine-readable files opens up new possibilities for data analytics, allowing organizations to analyze large amounts of pricing data.

Visualization 111

Visualization Dashboards Data-driven Gap analysis 111

AWS Big Data

AUGUST 3, 2023

Change data capture (CDC) is one of the most common design patterns to capture the changes made in the source database and reflect them to other data stores. a new version of AWS Glue that accelerates data integration workloads in AWS. Then we can query the data with Amazon Athena visualize it in Amazon QuickSight.

Data Lake 88

Data Lake Visualization Dashboards Insurance 88

AWS Big Data

SEPTEMBER 7, 2023

We will partition and format the server access logs with Amazon Web Services (AWS) Glue , a serverless data integration service, to generate a catalog for access logs and create dashboards for insights. Both the user data and logs buckets must be in the same AWS Region and owned by the same account.

Metadata 112

Metadata Dashboards Metrics Visualization 112

AWS Big Data

JULY 25, 2024

Migrating workloads to AWS Glue AWS Glue is a serverless data integration service that helps analytics users to discover, prepare, move, and integrate data from multiple sources. With AWS Glue, you can discover and connect to hundreds of different data sources and manage your data in a centralized data catalog.

Visualization 105

Visualization Management Data Integration Testing 105

erwin

MAY 27, 2020

And it exists across these hybrid architectures in different formats: big and unstructured and traditional structured business data may physically sit in different places. What’s desperately needed is a way to understand the relationships and interconnections between so many entities in data sets in detail.

Modeling 98

Modeling Metadata Data Governance Visualization 98

CIO Business Intelligence

JUNE 9, 2022

Its platform supports both publishers and advertisers so both can understand which creative work delivers the best results. Publishers find a privacy-safe way to deliver first-party information to advertisers while advertisers get the information they need to track performance across all of the publishing platforms in the open web.

Management 144

Management Advertising Data Lake Sales 144

FineReport

MAY 13, 2020

Although compared to the paid version, not all free BI tool provides stunning data visualization; they offer easy-to-understand charts that can meet your basic needs. The biggest cons of the Tableau Public is that any data used in the program is ‘public’ and therefore not secure. Tableau Public . From Google.

OLAP 105

OLAP KPI Data mining Business Intelligence 105

FineReport

FEBRUARY 28, 2020

Enterprise reporting is a process of extracting, processing, organizing, analyzing, and displaying data in the companies. It uses enterprise reporting tools to organize data into charts, tables, widgets, or other visualizations. In this way, users can gain insights from the data and make data-driven decisions. .

Reporting 96

Reporting Enterprise Visualization Business Intelligence 96

FineReport

AUGUST 14, 2020

The data analysis part is responsible for extracting data from the data warehouse, using the query, OLAP, data mining to analyze data, and forming the data conclusion with data visualization. The data layer of FineReport supports multiple data sources and data integration. .

Reporting 98

Reporting Informatics OLAP Data Warehouse 98

AWS Big Data

DECEMBER 17, 2024

SageMaker Lakehouse offers integrated access controls and fine-grained permissions that are consistently applied across all analytics engines and AI models and tools. Existing Redshift data warehouses can be made available through SageMaker Lakehouse in just a simple publish step, opening up all your data warehouse data with Iceberg REST API.

Data Lake 82

Data Lake Data Warehouse Data-driven Optimization 82

DataKitchen

OCTOBER 25, 2022

It’s because it’s a hard thing to accomplish when there are so many teams, locales, data sources, pipelines, dependencies, data transformations, models, visualizations, tests, internal customers, and external customers. That data then fills several database tables.

Testing 130

Testing Data-driven Visualization Dashboards 130

IBM Big Data Hub

APRIL 27, 2022

The data fabric architectural approach can simplify data access in an organization and facilitate self-service data consumption at scale. Read: The first capability of a data fabric is a semantic knowledge data catalog, but what are the other 5 core capabilities of a data fabric? 11 May 2021. .

Management 79

Management Metadata Data Architecture Data Lake 79

AWS Big Data

APRIL 28, 2023

AWS Glue is a serverless data integration service that makes it simple to discover, prepare, and combine data for analytics, machine learning (ML), and application development. For example, you can configure an Amazon EventBridge rule to invoke an AWS Lambda function to publish CloudWatch metrics every time AWS Glue jobs finish.

Optimization 109

Optimization Metrics Interactive Data Integration 109

BizAcuity

SEPTEMBER 16, 2019

A BI dashboard — or business intelligence dashboard — is an information management tool that uses data visualization to display KPIs (key performance indicators) tracked by a business to assess various aspects of performance. They aim at simplifying huge amounts of data, into simpler insights that can been easily understood and used.

Dashboards 69

Dashboards Visualization Key Performance Indicator Business Intelligence 69

Ontotext

NOVEMBER 4, 2021

As we’ve said again and again, we believe that knowledge graphs are the next generation tool for helping businesses make critical decisions, based on harmonized knowledge models and data derived from siloed source systems. But these tasks are only part of the story. Now, let’s dive in and look into each of these webinars.

Metadata 98

Metadata Visualization Modeling Enterprise 98

Ontotext

AUGUST 12, 2021

Between them, the faculty members have published more than ten thousand peer-reviewed scientific articles, many in top ranking Pediatrics journals. Our Approach: Semantic Data Integration of Proprietary and Public LOD Sources into a Single Knowledge Graph.

Metrics 98

Metrics Visualization Reporting Data Collection 98

CIO Business Intelligence

SEPTEMBER 22, 2023

Its platform supports both publishers and advertisers so both can understand which creative work delivers the best results. Publishers find a privacy-safe way to deliver first-party information to advertisers while advertisers get the information they need to track performance across all of the publishing platforms in the open web.

Management 105

Management Advertising Data Lake Sales 105

BizAcuity

NOVEMBER 8, 2019

A BI dashboard — or business intelligence dashboard — is an information management tool that uses data visualization to display KPIs (key performance indicators) tracked by a business to assess various aspects of performance. They aim at simplifying huge amounts of data, into simpler insights that can been easily understood and used.

Dashboards 61

Dashboards Visualization Key Performance Indicator Business Intelligence 61

AWS Big Data

FEBRUARY 26, 2025

The next generation of SageMaker also introduces new capabilities, including Amazon SageMaker Unified Studio (preview) , Amazon SageMaker Lakehouse , and Amazon SageMaker Data and AI Governance. enables you to develop, run, and scale your data integration workloads and get insights faster. With AWS Glue 5.0, AWS Glue 5.0

Analytics 59

Analytics Data Lake Metadata Data Warehouse 59

Rita Sallam

JULY 31, 2017

Machine learning automation is affecting all of enterprise software, but will completely transform how we build, analyze, and consume data and analytics. Over the past 10 years or more, visual-based data discovery tools (e.g. It will transform how users interact with data, and how they consume and act on insights.

Marketing 72

Marketing Analytics Machine Learning Data Science 72

Smarten

SEPTEMBER 16, 2024

Where users had access to data, BI objects, reports and dashboards were developed, provisioned and presented to them by the IT team, so the business user had no control over what they could see or the format of the data. ’In

Key Performance Indicator 59

Key Performance Indicator KPI Business Intelligence Dashboards 59

AWS Big Data

SEPTEMBER 22, 2023

Kafka plays a central role in the Stitch Fix efforts to overhaul its event delivery infrastructure and build a self-service data integration platform. We integrated these metrics into our MirrorMaker setup, exporting them to Grafana for visualization.

Management 116

Management Metrics Cost-Benefit Data Lake 116

Howard Dresner

JANUARY 20, 2014

Examples: user empowerment and the speed of getting answers (not just reports) • There is a growing interest in data that tells stories; keep up with advances in storyboarding to package visual analytics that might fill some gaps in communication and collaboration • Monitor rumblings about trend to shift data to secure storage outside the U.S.

Business Intelligence 56

Business Intelligence Software Predictive Analytics Data Processing 56

AWS Big Data

JUNE 19, 2023

Then the visuals in the dashboard react to the user’s selection of parameter value. Parameters can also help connect one dashboard to another, allowing a dashboard user to drill down into data that’s in a different analysis. The data is loaded in an RDS for PostgreSQL database table called nytaxidata.

Optimization 82

Optimization Slice and Dice Dashboards Recreation/Entertainment 82

DataRobot Blog

APRIL 1, 2018

For those of you who did not attend the summit, we have cited Gartner research as the sessions predominantly reflected the most recent Gartner published papers. Today, data integration is moving closer to the edges – to the business people and to where the data actually exists – the Internet of Things (IoT) and the Cloud.

Analytics 40

Analytics IoT Internet of Things Machine Learning 40

AWS Big Data

SEPTEMBER 13, 2024

To share data to our internal consumers, we use AWS Lake Formation with LF-Tags to streamline the process of managing access rights across the organization. Data integration workflow A typical data integration process consists of ingestion, analysis, and production phases.

Interactive 87

Interactive Strategy Cost-Benefit Data Governance 87

Jet Global

FEBRUARY 25, 2025

Data Cleaning The terms data cleansing and data cleaning are often used interchangeably, but they have subtle differences: Data cleaning refers to the broader process of preparing data for analysis by removing errors and inconsistencies. The Case for Publishing Dirty Data Early Dont wait to publish your data.

Cost-Benefit 52

Cost-Benefit Data Collection Finance Reporting 52

Smarten

APRIL 19, 2024

The use of Generative AI, LLM and products such as ChatGPT capabilities has been applied to all kinds of industries, from publishing and research to targeted marketing and healthcare. Nothing…and I DO mean NOTHING…is more prominent in technology buzz today than Artificial Intelligence (AI). billion, with the market growing by 31.1%

Analytics 59

Analytics Predictive Modeling KPI Machine Learning 59