Dataversity

APRIL 30, 2021

The goal of digital transformation remains the same as ever – to become more data-driven. We have learned how to gain a competitive advantage by capturing business events in data. Events are data snap-shots of complex activity sourced from the web, customer systems, ERP transactions, social media, […].

Digital Transformation 246

Digital Transformation Digital Data Warehouse Data Governance 246

Smart Data Collective

APRIL 29, 2020

The extraction of raw data, transforming to a suitable format for business needs, and loading into a data warehouse. Data transformation. This process helps to transform raw data into clean data that can be analysed and aggregated. Data analytics and visualisation.

Data Management 213

Data Management Data Warehouse Master Data Management Digital Transformation 213

Astera

AUGUST 21, 2023

A typical fact table contains quantitative data or metrics that represent business events, transactions, or measurements. They help to answer questions like “who,” “what,” “when,” “where,” and “how” related to business events.

Data Warehouse 52

Data Warehouse Data Modelling Data Quality Visualization 52

Astera

FEBRUARY 9, 2024

Loss Given Default (LGD) : This measures the potential loss to the lender or investor in the event of default by a borrower. Data Loading Once you’ve have ensured data quality, you must configure a secure connection to the bank’s data warehouse using Astera’s Data Connectors.

Banking 52

Banking Data Warehouse Data Quality Data Security 52

Astera

JUNE 6, 2023

The pipeline includes stages such as data ingestion, extraction, transformation, validation, storage, analysis, and delivery. Technologies like ETL, batch processing, real-time streaming, and data warehouses are used. Real-time Pipelines : These pipelines process data in near real-time or with low latency.

Data Warehouse 52

Data Warehouse Monitoring Real-time Data Documentation 52

Timo Elliott

MARCH 6, 2023

He explains that automation and innovation have become critical as the world experiences supply chain disruptions, inflation, extreme weather events, worker shortages, and uncertainty. He focuses on three big opportunities: faster innovation, empowering business people, and moving from analytics to action.

Artificial Intelligence 277

Artificial Intelligence Innovation Supply Chain Logistics 277

Smart Data Collective

NOVEMBER 18, 2020

Complex mathematical algorithms are used to segment data and estimate the likelihood of subsequent events. Every Data Scientist needs to know Data Mining as well, but about this moment we will talk a bit later. Where to Use Data Science? Data Mining is an important research process. Practical experience.

Data Mining 357

Data Mining Big Data Artificial Intelligence Data Warehouse 357

Astera

FEBRUARY 9, 2024

Data Loading The IT team configures a secure connection to BankX’s data warehouse using Astera’s Data Connectors. Astera has native connectors for various data warehouses, such as Amazon Redshift, Google BigQuery, or Snowflake, and can also load data into other destinations, such as files, databases, etc.

Data Warehouse 52

Data Warehouse Data Quality Data Security Monitoring 52

Astera

DECEMBER 16, 2022

In early September, our team attended the AIRI 2022 IT Summit as one of the official sponsors of the event. We met with a number of industry leaders and demonstrated our unified, end-to-end data management platform, Astera Data Stack.

Data Warehouse 59

Data Warehouse Big Data Data Management Documentation 59

Smart Data Collective

JULY 20, 2021

10 Panoply: In the world of CRM technology, Panoply is a data warehouse build that automates data collection, query optimization and storage management. This tool will help you to sync and store data from multiple sources quickly. With this tool, data transfer is faster and dynamic.

Big Data 353

Big Data Documentation Logistics Data Warehouse 353

Astera

JUNE 13, 2023

Real-time Data Pipeline: Handles data in a streaming fashion, essential for time-sensitive applications and immediate insights. Cloud Data Pipeline: Leverages cloud infrastructure for seamless data integration and scalable processing. Finally, it involves loading it into a data warehouse or any other type of destination.

Data Warehouse 52

Data Warehouse Data Quality Real-time Data Visualization 52

Astera

JUNE 13, 2023

Real-time Data Pipeline: Handles data in a streaming fashion, essential for time-sensitive applications and immediate insights. Cloud Data Pipeline: Leverages cloud infrastructure for seamless data integration and scalable processing. Finally, it involves loading it into a data warehouse or any other type of destination.

Data Warehouse 52

Data Warehouse Data Quality Real-time Data Visualization 52

Astera

JUNE 13, 2023

Real-time Data Pipeline: Handles data in a streaming fashion, essential for time-sensitive applications and immediate insights. Cloud Data Pipeline: Leverages cloud infrastructure for seamless data integration and scalable processing. Finally, it involves loading it into a data warehouse or any other type of destination.

Data Warehouse 52

Data Warehouse Data Quality Real-time Data Visualization 52

Tableau

JANUARY 18, 2023

Connect and learn at the developer event of year, TrailblazerDX on March 7-8, 2023. Members of the community can connect with DataDev ambassadors through the DataDev Slack instance and User Groups, but also at any of our DataDev events. She is also one of the organizers of the Data + Women Netherlands community. "I

Data Warehouse 89

Data Warehouse Healthcare Visualization Finance 89

Tableau

JANUARY 18, 2023

Connect and learn at the developer event of year, TrailblazerDX on March 7-8, 2023. Members of the community can connect with DataDev ambassadors through the DataDev Slack instance and User Groups, but also at any of our DataDev events. She is also one of the organizers of the Data + Women Netherlands community. "I

Data Warehouse 82

Data Warehouse Healthcare Visualization Finance 82

Sisense

APRIL 26, 2020

Read on to explore more about structured vs unstructured data, why the difference between structured and unstructured data matters, and how cloud data warehouses deal with them both. Structured vs unstructured data. However, both types of data play an important role in data analysis.

Data Warehouse 52

Data Warehouse Data Mining Artificial Intelligence Visualization 52

Actian

FEBRUARY 6, 2020

Organizations are being engulfed in a growing volume of data from a variety of sources. Some of the data is transactional, but most of it is what are called event streams – digital records of things taking place in the applications and devices that make up the IT ecosystem. What is Stream Data Integration?

Data Warehouse 40

Data Warehouse Supply Chain Real-time Data Big Data 40

Dataversity

DECEMBER 12, 2022

When it comes to data sources, analytic apps developers are facing new and increasingly complex challenges, such as having to deal with higher demand from event data and streaming sources. Yet while streams are clearly the […].

Real-time Data 130

Real-time Data Data Warehouse 130

Astera

JANUARY 19, 2024

Shortcomings in Complete Data Management : While MuleSoft excels in integration and connectivity, it falls short of being an end-to-end data management platform. Notably, MuleSoft lacks built-in capabilities for AI-powered data extraction and the direct construction of data warehouses.

IBM Support 52

IBM Support IBM cost IBM Maintenance Data Warehouse 52

ElegantJ BI

JUNE 17, 2015

Ted Friedman was dressed in traditional Karate garb, and Kurt Schlegel gave the event a real punch, while Rita Sallam was, as always, at her best. The opening keynote address provided a volley of thunder, and featured great videos, drama, and (surprisingly) those short movies had some actors who are real Gartner employees.

Business Intelligence 130

Business Intelligence Business Intelligence Data Warehouse Data Discovery 130

ElegantJ BI

JUNE 17, 2015

Ted Friedman was dressed in traditional Karate garb, and Kurt Schlegel gave the event a real punch, while Rita Sallam was, as always, at her best. The opening keynote address provided a volley of thunder, and featured great videos, drama, and (surprisingly) those short movies had some actors who are real Gartner employees.

Business Intelligence 130

Business Intelligence Business Intelligence Data Warehouse Data Discovery 130

ElegantJ BI

JUNE 17, 2015

Ted Friedman was dressed in traditional Karate garb, and Kurt Schlegel gave the event a real punch, while Rita Sallam was, as always, at her best. But, the Chairman of the event, Bhavish Sood assured us at the end of the session that Gartner has no intention of getting into the movie business.

Business Intelligence 130

Business Intelligence Business Intelligence Data Warehouse Data Discovery 130

Actian

OCTOBER 18, 2019

Actian DataConnect enhances the capabilities of Avalanche with a scalable Integration Platform as a Service (IPaaS) offering to help you manage connections from all of your source systems into your Avalanche data warehouse. With DataConnect, you will have the tools to acquire, prepare and deliver data to Avalanche with ease.

Data Warehouse 40

Data Warehouse Data Management Planning 40

Astera

JUNE 13, 2023

It leverages stream processing frameworks like Apache Kafka to process all data in real time, simplifying the pipeline architecture and reducing latency. Event-driven Pipelines Event-driven data pipelines leverage events to trigger data processing and propagate changes across the pipeline.

E-Commerce 52

E-Commerce Data Quality Real-time Data Data Warehouse 52

Tableau

MARCH 9, 2021

We all missed meeting in-person this year—that real-life connection is hard to replace for relationship-building, fast decision making, and having a little social time together—but heard great feedback across all three Theaters about this year’s digital event. Despite all the headwinds, we are persisting and growing together.

Healthcare 98

Healthcare Data Warehouse Banking Digital 98

Ntara

MARCH 21, 2023

You can export aggregated data it in one of the following formats: PDF, Google Sheets, Excel (XLSX), or CSV. However, that data comes without the ability to build upon and segment it on a per user/event/session basis. How long will GA4 data be retained in Google Analytics? By default, GA4 only stores two months of data.

Data Warehouse 52

Data Warehouse Planning Data Requirement 52

Astera

APRIL 23, 2024

Data quality metrics are not just a technical concern; they directly impact a business’s bottom line. million annually due to low-quality data. Furthermore: 41% of data warehouse projects are unsuccessful, primarily because of insufficient data quality.

Data Quality 52

Data Quality Monitoring Data Modelling Data Warehouse 52

Juice Analytics

DECEMBER 30, 2019

We like to call Dave one of our “angels” because he truly does work really hard to connect us with potential customers, is a great ally of ours, and always shows up for events that we host in our office. Meet this week’s Friend of Juice, Dave McDowell! What has impressed you the most about Juice or its team?

Data Warehouse 71

Data Warehouse Healthcare Project Management 71

GAVS Technology

NOVEMBER 3, 2020

As evident in most hospitals, these information are usually scattered across multiple data sources/databases. Hospitals typically create a data warehouse by consolidating information from multiple resources and try to create a unified database. Limitations of Current Methods.

Healthcare 52

Healthcare Data Mining Data Warehouse Data Management 52

Astera

JUNE 6, 2023

The transformation layer applies cleansing, filtering, and data manipulation techniques, while the loading layer transfers the transformed data to a target repository, such as a data warehouse or data lake. Types of ETL Architectures Batch ETL Architecture: Data is processed at scheduled intervals.

Data Quality 52

Data Quality Monitoring Data Warehouse Data Security 52

Sisense

DECEMBER 23, 2019

AI and ML are the only ways to derive value from massive data lakes, cloud-native data warehouses, and other huge stores of information. The right data and analytics platform can help you bridge the gap between your current AI and analytics paradigm and where you want your company to be in the future. .

Data Warehouse 86

Data Warehouse Artificial Intelligence Digital Transformation Innovation 86

Astera

NOVEMBER 13, 2023

But have you ever wondered how data informs the decision-making process? The key to leveraging data lies in how well it is organized and how reliable it is, something that an Enterprise Data Warehouse (EDW) can help with. What is an Enterprise Data Warehouse (EDW)?

Data Warehouse 52

Data Warehouse E-Commerce Supply Chain Real-time Data 52

Actian

FEBRUARY 25, 2020

Your integration platform needs to be able to recognize and adapt to these cloud-native architectures and enable your business and IT teams to make frequent changes to the application landscape while maintaining the integrity and security of underlying enterprise data assets.

Data Warehouse 40

Data Warehouse Data Management Data Modelling Monitoring 40

Domo

JULY 1, 2021

As you review new features, consider where your data has potential for exposure. With every new feature that is released, from low-code apps to cloud data warehouse integrations to embedded analytics, Domo bakes in ongoing review of security standards to ensure security compliance.

Embedded Analytics 64

Embedded Analytics Data Warehouse Digital Transformation Innovation 64

Actian

FEBRUARY 24, 2020

Converting streaming data into actionable insights is a process of incremental refinement – a value chain. Inputs are collected from many different data sources – there are the new technologies mentioned above, and there are also things like transactional workflows, event logs, social media feeds, and website interactions.

Data Warehouse 40

Data Warehouse Real-time Data Agile Big Data 40

Tableau

MARCH 9, 2021

We all missed meeting in-person this year—that real-life connection is hard to replace for relationship-building, fast decision making, and having a little social time together—but heard great feedback across all three Theaters about this year’s digital event. Despite all the headwinds, we are persisting and growing together.

Healthcare 52

Healthcare Data Warehouse Banking Digital 52

Actian

JANUARY 25, 2019

2018 was a year of solid growth and progress for Actian, with many announcements and company highlights – including a major acquisition, a proprietary event, product innovations and much more! Hybrid Data Conference. Keep an eye out for updates on 2019 events in the pipeline! Actian Zen Core Database for Android.

Cybersecurity 40

Cybersecurity Data Warehouse Innovation Big Data 40