Domo

JULY 8, 2021

It’s also important to think about how you’re going to manage your cloud vendors/providers. In order to manage your infrastructure such as networks, storage, services, data management, and virtualization, you’ll likely be working with several cloud providers, including cloud data integration and cloud BI providers.

Data Governance 52

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Astera

JANUARY 18, 2024

As far as the destinations are concerned, Fivetran supports data warehouses and databases, but it doesn’t support most data lakes. It also offers limited data transformation capabilities and that too through dbt core, which is an open source tool. You can easily design and orchestrate complex workflows.

Data Warehouse 52

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Netmind

MARCH 9, 2021

Data Management. A good data management strategy includes defining the processes for data definition, collection, analysis, and usage, including data quality assurance (and privacy), and the levels of accountability and collaboration throughout the process. Data Governance.

Data Governance 52

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Netmind

NOVEMBER 1, 2020

Data Management. A good data management strategy includes defining the processes for data definition, collection, analysis, and usage, including data quality assurance (and privacy), and the levels of accountability and collaboration throughout the process. Data Governance .

Data Governance 52

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Astera

FEBRUARY 28, 2024

In other words, a data warehouse is organized around specific topics or domains, such as customers, products, or sales; it integrates data from different sources and formats, and tracks changes in data over time. Impact: Accelerate your data modeling process, promoting agility in adapting to evolving business requirements.

Data Warehouse 52

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Astera

JANUARY 23, 2024

Analytics teams can also visualize these insights by leveraging reporting and visualization tools, such as dashboards, charts, or graphs. Why are Data Vaults and Information Marts Crucial in the BI Ecosystem? Data vault uses a hub and spoke architecture to simplify the intricacies of data integration and storage.

Agile 52

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Astera

NOVEMBER 27, 2023

Here are some of the distinct advantages of data profiling: Informed Decision-Making: Data profiling provides a clear understanding of the available data, its quality, and its structure. This proactive approach to data quality allows for timely measures to be taken to rectify any issues.

Data Mining 52

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ElegantJ BI

SEPTEMBER 30, 2021

When a business enters the domain of data management, it is easy to get lost in a flurry of promises, brochures, demos and the promise of the future. In this article, we will present the factors and considerations involved in choosing the right data management solution for your business.

Data Management 130

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ElegantJ BI

SEPTEMBER 30, 2021

When a business enters the domain of data management, it is easy to get lost in a flurry of promises, brochures, demos and the promise of the future. In this article, we will present the factors and considerations involved in choosing the right data management solution for your business. Data Warehouse.

Data Management 130

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ElegantJ BI

SEPTEMBER 30, 2021

When a business enters the domain of data management, it is easy to get lost in a flurry of promises, brochures, demos and the promise of the future. In this article, we will present the factors and considerations involved in choosing the right data management solution for your business. Data Warehouse.

Data Management 130

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Astera

JUNE 6, 2023

The best data pipeline tools offer the necessary infrastructure to automate data workflows, ensuring impeccable data quality, reliability, and timely availability. Empowering data engineers and analysts, these tools streamline data processing, integrate diverse sources, and establish robust data governance practices.

Data Warehouse 52

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Astera

JANUARY 25, 2024

ETL Vs Reverse ETL Aspect ETL Reverse ETL Purpose Aggregates and organizes data from various sources for analytical processing. Distributes processed data from the data warehouse to operational systems for action.

E-Commerce 52

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Astera

OCTOBER 31, 2023

You must also centralize your data storage and management using options like cloud storage, a data warehouse, or a data lake. A centralized platform streamlines data access, ensures data consistency, and simplifies data governance. In addition, you must ensure security and reliability in the data management process.

Data Quality 52

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Astera

JUNE 13, 2023

Techniques like data profiling, data validation, and metadata management are utilized. Data governance practices ensure compliance, security, and data privacy. Embracing them and leveraging advanced data integration platforms can revolutionize how businesses harness their data to drive success.

E-Commerce 52

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Astera

MARCH 28, 2024

So, organizations create a data governance strategy for managing their data, and an important part of this strategy is building a data catalog. They enable organizations to efficiently manage data by facilitating discovery, lineage tracking, and governance enforcement.

Data Governance 52

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Domo

OCTOBER 22, 2021

Using a data fabric solution, you can essentially stitch together various data tools to include a consistent set of capabilities and functionality. Ideally, CIOs and data practitioners get the full functionality of a unified BI architecture without having to move any data out of a cloud data warehouse (CDW).

Data Warehouse 52

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Astera

JANUARY 15, 2024

Visual job development: You can visually design data pipelines using pre-built components. Live feedback and data previews: As you build pipelines, Matillion provides real-time feedback and data previews. No-code API Management. The pricing is also flexible where you pay only for the modules you use.

Data Warehouse 52

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Astera

OCTOBER 10, 2023

Managing data effectively is a multi-layered activity—you must carefully locate it, consolidate it, and clean it to make it usable. One of the first steps in the data management cycle is data mapping. Data mapping is the process of defining how data elements in one system or format correspond to those in another.

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BizAcuity

APRIL 1, 2023

The three components of Business Intelligence are: Data Strategy:a clearly defined plan of action that outlines how an organization will collect, store, process, and use data in order to achieve specific goals. Data governance and security measures are critical components of data strategy.

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The Data Administration Newsletter

FEBRUARY 21, 2024

Explainable AI refers to ways of ensuring that the results and outputs of artificial intelligence (AI) can be understood by humans. It contrasts with the concept of the “black box” AI, which produces answers with no explanation or understanding of how it arrived at them.

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BizAcuity

JANUARY 31, 2023

The three components of Business Intelligence are: Data Strategy:a clearly defined plan of action that outlines how an organization will collect, store, process, and use data in order to achieve specific goals. Data governance and security measures are critical components of data strategy.

Business Intelligence 130

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Domo

MARCH 27, 2024

SILICON SLOPES, Utah – Today Domo (Nasdaq: DOMO) announced at Domopalooza: the AI + Data Conference the expansion of its partnership with Snowflake , the Data Cloud Company, including the launch of Domo’s award-winning Magic ETL capabilities on the Snowflake Data Cloud.

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The Data Administration Newsletter

JUNE 1, 2021

Bedtime stories are as good as the problem they solve, every child will tell you that. Our children’s capacity to distinguish a good story from a bad one is not learned, but hardwired from birth. Storytellers and parents know this very well. It is just natural: humans have been telling stories for thousands of years, […].

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Business Analysis Knowledge Share

OCTOBER 24, 2023

This article aims to provide a comprehensive overview of Data Warehousing, breaking down key concepts that every Business Analyst should know. Introduction As businesses generate and accumulate vast amounts of data, the need for efficient data management and analysis becomes paramount.

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GAVS Technology

JUNE 2, 2021

In the recently announced Technology Trends in Data Management, Gartner has introduced the concept of “Data Fabric”. Here is the link to the document, Top Trends in Data and Analytics for 2021: Data Fabric Is the Foundation (gartner.com). What is Data Fabric? Data Virtualization. Data Lakes.

Healthcare 52

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Astera

FEBRUARY 9, 2024

Enhancing data governance and customer insights. According to a study by SAS , only 35% of organizations have a well-established data governance framework, and only 24% have a single, integrated view of customer data. Data quality reports : These reports illustrate the data health of a particular dataset.

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Astera

FEBRUARY 1, 2024

Data models help us understand and utilize data within any system. Data modeling involves creating a detailed visual representation of an information system or its components. It is designed to communicate the connections between various data points and structures.

Data Modelling 40

Data Modelling Retail Documentation UML 40

Astera

FEBRUARY 27, 2024

We’re talking about query and reporting tools, online analytical processing (OLAP) tools, data mining tools, and dashboards. They’re the interactive elements, letting users not just see the data but also analyze and visualize it in their own unique way. How Does a Data Warehouse Work? Why Choose Astera?

Data Warehouse 52

Data Warehouse Cloud Computing Data Quality Monitoring 52

Astera

FEBRUARY 27, 2024

We’re talking about query and reporting tools, online analytical processing (OLAP) tools, data mining tools, and dashboards. They’re the interactive elements, letting users not just see the data but also analyze and visualize it in their own unique way. How Does a Data Warehouse Work? Why Choose Astera?

Data Warehouse 52

Data Warehouse Cloud Computing Data Quality Monitoring 52

Astera

AUGUST 8, 2023

The drag-and-drop, user-friendly interface allows both technical and non-technical users to leverage Astera solutions to carry out complex data-related tasks in minutes, improving efficiency and performance. Interactive Data Grid: The tool offers agile data correction and completion capabilities allowing you to rectify inaccurate data.

Data Quality 52

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Business Analysis Knowledge Share

MARCH 15, 2023

BI tools provide a range of functionality, including data visualization, dashboarding, and reporting. Data Governance Data governance is the process of managing data as an enterprise asset. Data governance is essential for ensuring data quality, consistency, and security in a data warehouse.

Big Data 52

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Astera

JANUARY 1, 2024

Free Download Data Governance and Data Quality When it comes to managing your data, two crucial aspects to keep in mind are data governance and data quality. Think of data governance as the rulebook for data management.

Data Quality 52

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Astera

JANUARY 1, 2024

Free Download Data Governance and Data Quality When it comes to managing your data, two crucial aspects to keep in mind are data governance and data quality. Think of data governance as the rulebook for data management.

Data Quality 52

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Data Pine

MARCH 25, 2019

Build a data management roadmap. While, at this point, this particular step is optional (you will have already gained a wealth of insight and formed a fairly sound strategy by now), creating a data governance roadmap will help your data analysis methods and techniques become successful on a more sustainable basis.

Big Data 87

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Astera

NOVEMBER 28, 2023

Importance of Data Pipelines Data pipelines are essential for the smooth, automated, and reliable management of data throughout its lifecycle. They enable organizations to derive maximum value from their data assets. The data consumption layer needs to be designed to easy access to the data.

Data Warehouse 52

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Astera

OCTOBER 12, 2023

Let’s review the top 7 data validation tools to help you choose the solution that best suits your business needs. Top 7 Data Validation Tools Astera Informatica Talend Datameer Alteryx Data Ladder Ataccama One 1. Astera Astera is an enterprise-grade, unified data management solution with advanced data validation features.

Data Quality 52

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ElegantJ BI

SEPTEMBER 6, 2019

Rather than preparing data at the central meta-data layer, and restricting what business users can do and see, these IT enabled (NOT IT controlled), self-serve data preparation and business intelligence tools and features put meaningful views of data in the hands of business users.

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