Smart Data Collective

SEPTEMBER 15, 2021

It is essential to process sensitive data only after acquiring a thorough knowledge of a stream processing architecture. The data architecture assimilates and processes sizable volumes of streaming data from different data sources. This very architecture ingests data right away while it is getting generated.

Real-time Data 337

Real-time Data Customer Experience Customer Experience Agile 337

Domo

SEPTEMBER 27, 2021

For another, as a data lake grows in complexity, it can lead to delays that impact innovation. Overcoming data lake disadvantages. That’s where a platform-monitoring dashboard can really help. In Domo, the primary source of this data will be the Activity Log dataset. What a business-centric approach can do for you.

Data Architecture 52

Data Architecture Finance Government Visualization 52

Astera

JULY 3, 2024

What is Data Architecture? Data architecture is a structured framework for data assets and outlines how data flows through its IT systems. It provides a foundation for managing data, detailing how it is collected, integrated, transformed, stored, and distributed across various platforms.

Data Architecture 40

Data Architecture Data Warehouse Data Governance Government 40

Sisense

JULY 6, 2020

These regulations, ultimately, ensure key business values: data consistency, quality, and trustworthiness. Data architecture creates instructions that guide you through the data collection, integration, and transformation processes, as well as data modeling.

Data Management 98

Data Management Data Architecture Data Governance Government 98

BizAcuity

APRIL 14, 2022

There are a wide range of problems that are presented to organizations when working with big data. Challenges associated with Data Management and Optimizing Big Data. Unscalable data architecture. Scalable data architecture is not restricted to high storage space. Big Data Storage Optimization.

Big Data 130

Big Data Data Analytics Data Analytics Data Management 130

Astera

DECEMBER 16, 2024

Pre-Built Transformations: It offers pre-defined drag-and-drop and Python code-based transformations to help users clean and prepare data for analysis. Scalability: It can handle large-scale data processing, making it suitable for organizations with growing data volumes. Ratings: 3.8/5 5 (Gartner) | 4.4/5

Data Warehouse 52

Data Warehouse Real-time Data Monitoring Data Quality 52

Dataversity

DECEMBER 5, 2022

Monitoring Kubernetes provides access to operational metrics, helping […]. The post Analyzing Kubernetes Operational Data appeared first on DATAVERSITY. Operating Kubernetes reliably requires detecting errors and fixing them quickly. You can only achieve this by establishing visibility into your containerized environments.

Monitoring 130

Monitoring Data Architecture 130

Dataversity

NOVEMBER 2, 2022

The two processes, typically referred to as a CI/CD pipeline, introduce ongoing automation and continuous monitoring throughout the lifecycle of apps, from the integration and testing phases to delivery and deployment. CI/CD is the practice of continuous integration and continuous delivery/deployment.

Monitoring 130

Monitoring Data Architecture 130

Tableau

DECEMBER 7, 2022

Every company today is being asked to do more with less, and leaders need access to fresh, trusted KPIs and data-driven insights to manage their businesses, keep ahead of the competition, and provide unparalleled customer experiences. . But good data—and actionable insights—are hard to get. Increase sales operational effectiveness .

Talent Acquisition 98

Talent Acquisition Data Warehouse Data Architecture Visualization 98

Tableau

DECEMBER 7, 2022

Every company today is being asked to do more with less, and leaders need access to fresh, trusted KPIs and data-driven insights to manage their businesses, keep ahead of the competition, and provide unparalleled customer experiences. . But good data—and actionable insights—are hard to get. Increase sales operational effectiveness .

Talent Acquisition 98

Talent Acquisition Data Warehouse Data Architecture Visualization 98

Passionate BA

MAY 29, 2024

So, the BPM perspective is all about creating, executing, and monitoring these processes, ensuring that the organization operates efficiently. BI business analysts integrate business needs with technical solutions, ensuring the data architecture effectively supports business decisions.

Business Analysis 130

Business Analysis Business Analysis Business Architecture Agile 130

The Data Administration Newsletter

DECEMBER 1, 2021

As such, DBAs are tasked with designing, implementing, and administering databases, but also performance monitoring, backup […]. The DBA is the information technician responsible for ensuring the ongoing operational functionality and efficiency of an organization’s databases and the applications that access those databases.

Monitoring 97

Monitoring Data Architecture Data Management 97

Dataversity

MAY 12, 2021

Today, we gather data at a seemingly manic pace – and as quickly as it’s collected, it’s analyzed and parsed. As the famous saying from a few years back goes, “Data is […]. Click to learn more about author Thomas LaRock.

Digital 246

Digital Monitoring Data Architecture 246

Dataversity

DECEMBER 9, 2021

We live in an era where data is progressively becoming the essential and the only fuel for thriving business success. And the rapidly growing volumes of data have raised several security concerns that can’t be overlooked.

Cloud Computing 243

Cloud Computing Monitoring Data Architecture Data Security 243

Domo

APRIL 20, 2022

On the front end, we work closely with subject matter experts,” said UPMC’s senior manager of data architecture and analytics. The finance people that know the finance data, for example. We make sure the data is checked and reliable. And then we use the certification process in Domo.

Embedded Analytics 98

Embedded Analytics Chief Data Officer Logistics Artificial Intelligence 98

Astera

AUGUST 13, 2024

Data Consolidation Data consolidation involves merging data from different systems or departments into a single repository. This centralized repository, or single source of truth (SSOT), delivers a streamlined data architecture that enhances data accessibility, analysis, and utilization.

Data Governance 52

Data Governance Data Architecture Data Quality Real-time Data 52

Astera

JUNE 21, 2024

APIs act as messengers, enabling different software applications to talk to each other and share data. Businesses can create a unified data architecture by integrating applications through API adoption. APIs act as intermediaries, allowing seamless communication and data exchange between applications.

Real-time Data 52

Real-time Data Innovation Monitoring Data Architecture 52

Astera

JUNE 14, 2024

Unlike passive approaches, which might only react to issues as they arise, active data governance anticipates and mitigates problems before they impact the organization. Here’s a breakdown of its key components: Data Quality: Ensuring that data is complete and reliable. They provide several advantages.

Data Governance 52

Data Governance Government Data Quality Monitoring 52

Astera

APRIL 24, 2024

It helps establish policies, assign roles and responsibilities, and maintain data quality and security in compliance with relevant regulatory standards. The framework, therefore, provides detailed documentation about the organization’s data architecture, which is necessary to govern its data assets.

Data Governance 52

Data Governance Government Data Architecture Data Quality 52

Domo

JULY 29, 2024

Using NetSuite with Domo , we decreased whole unit replacements by monitoring and forecasting demand from customer service inquiries. By monitoring and forecasting demand through Domo, we reduced whole unit replacements, saving $1.5 We use NetSuite as our ERP system, which holds detailed invoice data.

Supply Chain 72

Supply Chain E-Commerce Logistics Retail 72

Astera

JUNE 6, 2023

Real-time pipelines enable immediate analysis and response to emerging trends, anomalies, or events, making them critical for applications like fraud detection, real-time analytics, and monitoring systems. Extract, Transform, Load (ETL) Pipelines : ETL pipelines are widely used for data integration and data warehousing.

Data Warehouse 52

Data Warehouse Monitoring Real-time Data Documentation 52

The Data Administration Newsletter

JUNE 20, 2023

And nowhere is the pressure to comply with regulations greater than on data stored in corporate databases. Organizations must be hyper-vigilant as they implement controls to protect and monitor their data. One of the more useful […]

Government 69

Government Monitoring Data Architecture Data Management 69

Tableau

DECEMBER 7, 2022

Every company today is being asked to do more with less, and leaders need access to fresh, trusted KPIs and data-driven insights to manage their businesses, keep ahead of the competition, and provide unparalleled customer experiences. But good data—and actionable insights—are hard to get.

Talent Acquisition 55

Talent Acquisition Data Warehouse Data Architecture Visualization 55

Astera

JUNE 20, 2024

They act as intermediaries, enabling seamless communication and data exchange between software applications. Therefore, investing in an API integration tool gives businesses a strategic edge by providing a unified data architecture for faster and more accurate decision-making. Why Do Businesses Need an API Integration Tool?

IBM Support 52

IBM Support IBM Maintenance Documentation Digital Transformation 52

Astera

MARCH 19, 2024

Key Stakeholders in Data Governance Data governance involves collaboration between executive leadership, IT professionals, data stewards, compliance teams, and data analysts. Adapting to evolving business needs and regulatory requirements requires continuous monitoring, assessment, and improvement.

Data Governance 52

Data Governance Government Data Quality Monitoring 52

The BAWorld

SEPTEMBER 18, 2024

Data integration enables the connection of all your data sources, which helps empower more informed business decisions—an important factor in today’s competitive environment. How does data integration work? There exist various forms of data integration, each presenting its distinct advantages and disadvantages.

Data Warehouse 52

Data Warehouse Finance Data Architecture Banking 52

Dataversity

MARCH 24, 2021

Enterprises migrating on-prem data environments to the cloud in pursuit of more robust, flexible, and integrated analytics and AI/ML capabilities are fueling a surge in cloud data lake implementations. Click to learn more about author Brian Lachance.

Monitoring 147

Monitoring Artificial Intelligence Data Architecture Data Security 147

Astera

MARCH 20, 2024

Data Quality Management Not all data is created equal. Data quality management enables you to implement processes for data cleansing, validation, and ongoing monitoring, providing your teams with reliable data that’s fit for analysis. Moving data seamlessly from on-premises systems to the cloud environment.

Data Management 52

Data Management Master Data Management Data Quality Data Warehouse 52

The Data Administration Newsletter

JULY 18, 2023

With these, your team is able address customer needs faster, monitor app performance, and scale applications according to demand. It is no secret that cloud migration and transformation helps your business attain desired growth, cost savings, agility, and profitability. And a […]

Monitoring 52

Monitoring Agile Data Architecture Big Data 52

Actian

JULY 31, 2019

In general, the more APIs, underlying database architectures, resulting differences in supporting file formats, management, and monitoring systems and changes in which ones you use based on use case simply increase the complexity of your enterprise data architectures.

IBM Support 8

IBM Support Documentation IBM Maintenance Data Warehouse 8

Astera

MAY 31, 2024

Analysts use data analytics to create detailed reports and dashboards that help businesses monitor key performance indicators (KPIs) and make data-driven decisions. Data analytics is typically more straightforward and less complex than data science, as it does not involve advanced machine learning algorithms or model building.

Data Analytics 52

Data Analytics Data Analytics Data Warehouse Healthcare 52

Domo

OCTOBER 4, 2024

Domo’s mobile access also makes it simple to see your NetSuite data from anywhere, so you can perform in-depth analysis anytime, anywhere, and with the level of detail you need. You can even set up proactive alerts to monitor business performance and track the metrics that matter. Which connectors are available with NetSuite?

Finance 52

Finance Monitoring Data Architecture 52

Astera

JANUARY 23, 2024

Businesses need scalable, agile, and accurate data to derive business intelligence (BI) and make informed decisions. Their data architecture should be able to handle growing data volumes and user demands, deliver insights swiftly and iteratively.

Agile 52

Agile Data Warehouse Data Quality Government 52

Astera

FEBRUARY 14, 2024

Only 5% of businesses feel they have data management under control, while 77% of industry leaders consider growing volume of data one of the biggest challenges. However, this does not mean one should load everything into the data vault without filtering or validating the data. Users

Data Warehouse 52

Data Warehouse Data Modelling Agile Data Quality 52

Astera

DECEMBER 21, 2022

For example, some data architecture is insufficiently flexible, and changing data when necessary is difficult. This is especially true in a sector that requires live monitoring of variable data. To set up an effective UDM system, there are some common challenges that every organization must overcome.

Data Management 52

Data Management Data Governance Government Data Warehouse 52

Sisense

SEPTEMBER 3, 2019

This blog is intended to give an overview of the considerations you’ll want to make as you build your Redshift data warehouse to ensure you are getting the optimal performance. Modeling Your Data for Performance. Data architecture. The data landscape has changed significantly over the last two decades.

Data Warehouse 78

Data Warehouse Data Architecture Planning Big Data 78

Astera

DECEMBER 28, 2023

For example, with Astera, you can: Establish native connectivity to a range of data sources and destinations, both on-premises and cloud-based. SnapLogic SnapLogic is an iPaaS that offers application, data, and cloud integration for enterprises. Pros Offers a dashboard to monitor configured pipelines and integrations easily.

IBM cost 52

IBM cost IBM Support IBM Maintenance Data Warehouse 52