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 79

Data Integration Snapshot Testing Visualization 79

O'Reilly on Data

DECEMBER 12, 2019

Security vulnerabilities : adversarial actors can compromise the confidentiality, integrity, or availability of an ML model or the data associated with the model, creating a host of undesirable outcomes. Privacy harms : models can compromise individual privacy in a long (and growing) list of ways. [8]

Machine Learning 276

Machine Learning Modeling Testing Risk Management 276

AWS Big Data

AUGUST 13, 2024

In today’s data-driven world, seamless integration and transformation of data across diverse sources into actionable insights is paramount. With AWS Glue, you can discover and connect to hundreds of diverse data sources and manage your data in a centralized data catalog. Choose Store a new secret.

Data Processing 98

Data Processing Visualization Data Lake Data Processing 98

Ontotext

MARCH 24, 2021

Furthermore, the format of the export and process changes slightly from election to election, making comparing data chronologically almost impossible without substantial data wrangling and ad-hoc cleaning and matching. Easily accessible linked open elections data. The data is publicly available as a SPARQL endpoint at [link].

Statistics 142

Statistics Publishing Data Processing Metrics 142

AWS Big Data

AUGUST 19, 2024

As organizations increasingly rely on data stored across various platforms, such as Snowflake , Amazon Simple Storage Service (Amazon S3), and various software as a service (SaaS) applications, the challenge of bringing these disparate data sources together has never been more pressing.

Analytics 107

Analytics Data-driven Data Integration Data Lake 107

CIO Business Intelligence

OCTOBER 3, 2023

She notes that ConocoPhillips segments its digital twins into three categories: visualization, monitoring, and simulation. Once the company selected its preferred technology, Mathur and her team developed a common data integration layer.

Digital Transformation 122

Digital Transformation Cost-Benefit Data Processing Optimization 122

datapine

FEBRUARY 22, 2022

IT should be involved to ensure governance, knowledge transfer, data integrity, and the actual implementation. Then for knowledge transfer choose the repository, best suited for your organization, to host this information. Ensure data literacy. Rely on interactive data visualizations. click to enlarge**.

Business Intelligence 218

Business Intelligence Strategy Cost-Benefit Dashboards 218

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 87

Data Lake Visualization Dashboards Insurance 87

AWS Big Data

DECEMBER 13, 2023

In addition to using native managed AWS services that BMS didn’t need to worry about upgrading, BMS was looking to offer an ETL service to non-technical business users that could visually compose data transformation workflows and seamlessly run them on the AWS Glue Apache Spark-based serverless data integration engine.

Metadata 100

Metadata Data Lake Visualization Data Quality 100

Cloudera

NOVEMBER 22, 2021

Rise in polyglot data movement because of the explosion in data availability and the increased need for complex data transformations (due to, e.g., different data formats used by different processing frameworks or proprietary applications). As a result, alternative data integration technologies (e.g.,

Data Processing 94

Data Processing Data Warehouse Enterprise Visualization 94

AWS Big Data

APRIL 25, 2023

Data and its various uses is increasingly evident in companies, and each professional has their preferences about which technologies to use to visualize data, which isn’t necessarily in line with the technological needs and infrastructure of a company. In this post, we discuss why we chose QuickSight and how we implemented it.

Visualization 52

Visualization IT Data-driven Reporting 52

datapine

AUGUST 20, 2019

Data Storage Layer: In this layer, the processed data is stored. Data query Layer: In this layer, active analytic processing occurs. In actuality, this layer helps to gather the value from data. Data Visualization Layer: In this layer, users find the true value of data. Big Data Ingestion.

Big Data 100

Big Data B2B Cost-Benefit Structured Data 100

CIO Business Intelligence

JUNE 9, 2022

It integrates data across a wide arrange of sources to help optimize the value of ad dollar spending. Its cloud-hosted tool manages customer communications to deliver the right messages at times when they can be absorbed. Along the way, metadata is collected, organized, and maintained to help debug and ensure data integrity.

Management 144

Management Advertising Data Lake Sales 144

Octopai

JANUARY 31, 2021

This podcast centers around data management and investigates a different aspect of this field each week. Within each episode, there are actionable insights that data teams can apply in their everyday tasks or projects. The host is Tobias Macey, an engineer with many years of experience. Agile Data.

Data Governance 83

Data Governance Data Processing Data Quality Metadata 83

CIO Business Intelligence

NOVEMBER 21, 2023

After all, 41% of employees acquire, modify, or create technology outside of IT’s visibility , and 52% of respondents to EY’s Global Third-Party Risk Management Survey had an outage — and 38% reported a data breach — caused by third parties over the past two years. There may be times when department-specific data needs and tools are required.

IT 137

IT Risk Cost-Benefit Data Science 137

AWS Big Data

MARCH 26, 2024

Data ingestion You have to build ingestion pipelines based on factors like types of data sources (on-premises data stores, files, SaaS applications, third-party data), and flow of data (unbounded streams or batch data). Data exploration Data exploration helps unearth inconsistencies, outliers, or errors.

Data Strategy 78

Data Strategy Strategy Data Warehouse Prescriptive Analytics 78

AWS Big Data

SEPTEMBER 22, 2023

At Stitch Fix, we have used Kafka extensively as part of our data infrastructure to support various needs across the business for over six years. Kafka plays a central role in the Stitch Fix efforts to overhaul its event delivery infrastructure and build a self-service data integration platform.

Management 115

Management Metrics Cost-Benefit Data Lake 115

FineReport

MARCH 31, 2024

In 2024, business intelligence (BI) software has undergone significant advancements, revolutionizing data management and decision-making processes. Harnessing the power of advanced APIs, automation, and AI, these tools simplify data compilation, organization, and visualization, empowering users to extract actionable insights effortlessly.

Dashboards 52

Dashboards Visualization Data mining Data-driven 52

CIO Business Intelligence

SEPTEMBER 22, 2023

It integrates data across a wide arrange of sources to help optimize the value of ad dollar spending. Its cloud-hosted tool manages customer communications to deliver the right messages at times when they can be absorbed. Along the way, metadata is collected, organized, and maintained to help debug and ensure data integrity.

Management 105

Management Advertising Data Lake Sales 105

Octopai

MAY 15, 2023

How can you save your organizational data management and hosting cost using automated data lineage. Do you think you did everything already to save organizational data management costs? What kind of costs organization has that data lineage can help with? Well, you probably haven’t done this yet!

Data Quality 52

Data Quality Data Governance Data Integration Risk 52

erwin

SEPTEMBER 16, 2024

Migration and modernization : It enables seamless transitions between legacy systems and modern platforms, ensuring your data architecture evolves without disruption. Migration and modernization : It enables seamless transitions between legacy systems and modern platforms, ensuring your data architecture evolves without disruption.

Modeling 52

Modeling Visualization Data Governance Data Architecture 52

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

Ontotext

SEPTEMBER 15, 2020

Added to this is the increasing demands being made on our data from event-driven and real-time requirements, the rise of business-led use and understanding of data, and the move toward automation of data integration, data and service-level management. This provides a solid foundation for efficient data integration.

Metadata 69

Metadata Knowledge Discovery Data Quality Strategy 69

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 86

Interactive Strategy Cost-Benefit Data Governance 86

Ontotext

OCTOBER 28, 2021

It demonstrates how GraphDB and metaphactory work together and how you can employ the platform’s intuitive and out-of-the-box search, visualization and authoring components to empower end users to consume data from your knowledge graph. Semantic Data Integration With GraphDB. Visual Ontology Modeling With metaphactory.

Visualization 52

Visualization Interactive Knowledge Discovery Dashboards 52

IBM Big Data Hub

OCTOBER 20, 2023

Visual modeling: Combine visual data science with open source libraries and notebook-based interfaces on a unified data and AI studio. Will it be implemented on-premises or hosted using a cloud platform? Store operating platform : Scalable and secure foundation supports AI at the edge and data integration.

Machine Learning 71

Machine Learning Manufacturing Deep Learning Cost-Benefit 71

FineReport

APRIL 26, 2023

Having visually appealing graphics can also increase user adoption. Advanced analytics capabilities : The tool should be able to analyze data and identify patterns, as well as forecast future events with complex forecasting algorithms, going beyond simple mathematical calculations.

Big Data 52

Big Data Data Analytics Analytics Cost-Benefit 52

AWS Big Data

JULY 31, 2023

Customers often use many SQL scripts to select and transform the data in relational databases hosted either in an on-premises environment or on AWS and use custom workflows to manage their ETL. AWS Glue is a serverless data integration and ETL service with the ability to scale on demand. Navigate to the Visual tab.

Sales 52

Sales Data Warehouse Visualization Testing 52

Domino Data Lab

APRIL 3, 2019

The longer answer is that in the context of machine learning use cases, strong assumptions about data integrity lead to brittle solutions overall. Marquez is a project sponsored by WeWork and Stitch Fix to “collect, aggregate, and visualize a data ecosystem’s metadata” which sounds roughly akin to some aspects Egeria.

Machine Learning 84

Machine Learning Data Governance Metadata Data Science 84

Alation

JANUARY 17, 2023

What if, experts asked, you could load raw data into a warehouse, and then empower people to transform it for their own unique needs? Today, data integration platforms like Rivery do just that. By pushing the T to the last step in the process, such products have revolutionized how data is understood and analyzed.

Data Warehouse 52

Data Warehouse Cost-Benefit Data Science Data Transformation 52

AWS Big Data

JUNE 7, 2023

This data needs to be ingested into a data lake, transformed, and made available for analytics, machine learning (ML), and visualization. For this, Cargotec built an Amazon Simple Storage Service (Amazon S3) data lake and cataloged the data assets in AWS Glue Data Catalog. The job runs in the target account.

Metadata 59

Metadata Data Lake Machine Learning Big Data 59

datapine

MAY 17, 2021

Data discovery is a term used to describe the process for collecting data from various sources by detecting patterns and outliers with the help of guided advanced analytics and visual navigation of data, thus enabling consolidation of all business information. 3) Easily work with massive amounts of data.

Visualization 161

Visualization Data-driven Business Intelligence Dashboards 161

Jet Global

MAY 1, 2023

This is in contrast to traditional BI, which extracts insight from data outside of the app. We rely on increasingly mobile technology to comb through massive amounts of data and solve high-value problems. Plus, there is an expectation that tools be visually appealing to boot. Their dashboards were visually stunning.

Analytics 52

Analytics Cost-Benefit Visualization Dashboards 52

Jet Global

FEBRUARY 23, 2024

Data mapping is essential for integration, migration, and transformation of different data sets; it allows you to improve your data quality by preventing duplications and redundancies in your data fields. Data mapping helps standardize, visualize, and understand data across different systems and applications.

Data Warehouse 52

Data Warehouse Reporting Data Transformation Visualization 52

Jet Global

OCTOBER 11, 2023

It requires complex integration technology to seamlessly weave analytics components into the fabric of the host application. Another hurdle is the task of managing diverse data sources, as organizations typically store data in various formats and locations. Addressing these challenges necessitated a full-scale effort.

Dashboards 52

Dashboards Data-driven Reporting Software 52

Jet Global

OCTOBER 26, 2023

Low data quality causes not only costly errors and compliance issues, it also reduces stakeholder confidence in the reported information. Both JDE and EBS are highly complex and may involve multiple modules that store data in different formats. None of which is good for your team.

Data Quality 52

Data Quality Reporting Operational Reporting Finance 52

Jet Global

MARCH 29, 2023

Without the right interactive reporting tools, they may find themselves unable to access automatic calculations and data checks. No way to add context to their data with web visualizations and metrics. Hubble Enterprise from insightsoftware delivers all this and more.

Enterprise 52

Enterprise Reporting Operational Reporting Dashboards 52