Astera

APRIL 13, 2023

In the digital age, a data warehouse plays a crucial role in businesses across several industries. It provides a systematic way to collect and analyze large amounts of data from multiple sources, such as marketing, sales, finance databases, and web analytics. What is a Data Warehouse?

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Astera

DECEMBER 21, 2022

For this reason, most organizations today are creating cloud data warehouse s to get a holistic view of their data and extract key insights quicker. What is a cloud data warehouse? Moreover, when using a legacy data warehouse, you run the risk of issues in multiple areas, from security to compliance.

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Astera

DECEMBER 16, 2024

What is Hevo Data and its Key Features Hevo is a data pipeline platform that simplifies data movement and integration across multiple data sources and destinations and can automatically sync data from various sources, such as databases, cloud storage, SaaS applications, or data streaming services, into databases and data warehouses.

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Astera

DECEMBER 29, 2023

Among the key players in this domain is Microsoft, with its extensive line of products and services, including SQL Server data warehouse. In this article, we’re going to talk about Microsoft’s SQL Server-based data warehouse in detail, but first, let’s quickly get the basics out of the way.

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Astera

DECEMBER 29, 2023

Among the key players in this domain is Microsoft, with its extensive line of products and services, including SQL Server data warehouse. In this article, we’re going to talk about Microsoft’s SQL Server-based data warehouse in detail, but first, let’s quickly get the basics out of the way.

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Data Warehouse Data Management Data Modelling Data Quality 52

Astera

DECEMBER 21, 2022

Data and analytics are indispensable for businesses to stay competitive in the market. Hence, it’s critical for you to look into how cloud data warehouse tools can help you improve your system. According to Mordor Intelligence , the demand for data warehouse solutions will reach $13.32 billion by 2026. Ease of Use.

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Astera

NOVEMBER 1, 2023

Businesses rely heavily on various technologies to manage and analyze their growing amounts of data. Data warehouses and databases are two key technologies that play a crucial role in data management. While both are meant for storing and retrieving data, they serve different purposes and have distinct characteristics.

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Insight Software

JANUARY 5, 2021

Then the team needed to extract the information to Excel, consolidate it, format it, add formulas, and double-check the results. Many AX customers have invested heavily in data warehouse solutions or in robust Power BI implementations that produce considerably more powerful reports and dashboards. Demand is volatile.

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Insight Software

JULY 29, 2020

In a recent survey of ERP user satisfaction, almost half of the approximately 1,500 respondents said they needed easier access to information , with 35 percent indicating that access to information takes too long. Data warehouse (and day-old data) – To use OBIEE, you may need to create a data warehouse.

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Tableau

DECEMBER 7, 2022

Traditionally, organizations built complex data pipelines to replicate data. Those data architectures were brittle, complex, and time intensive to build and maintain, requiring data duplication and bloated data warehouse investments. Natively connect to trusted, unified customer data.

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Tableau

DECEMBER 7, 2022

Traditionally, organizations built complex data pipelines to replicate data. Those data architectures were brittle, complex, and time intensive to build and maintain, requiring data duplication and bloated data warehouse investments. Natively connect to trusted, unified customer data.

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Astera

DECEMBER 16, 2022

We have been recognized for implementing, maintaining, and operating an Information Security Management System that complies with the requirements of the standard ISO/IEC 27001:2013. We met with a number of industry leaders and demonstrated our unified, end-to-end data management platform, Astera Data Stack.

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Insight Software

JANUARY 18, 2021

In a separate blog post, we discussed the potential for using a data warehouse as a means for automating data extraction and transformation in advance of system migration. Without deep technical expertise in Microsoft D365 F&SCM’s data entities, frontline users will have a hard time getting the information they need.

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Insight Software

MAY 13, 2022

Data First: Plan for a Successful D365 F&SCM Migration. How Data Warehouses Can Help. Jet Analytics provides easy corporate analytics to help your business make informed, data-based decisions. It allows you easily create and maintain a complete data warehouse solution with very little effort.

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Astera

FEBRUARY 14, 2024

Data vault is an emerging technology that enables transparent, agile, and flexible data architectures, making data-driven organizations always ready for evolving business needs. What is a Data Vault?  A data vault is a data modeling technique that enables you to build data warehouses for enterprise-scale analytics.

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Astera

AUGUST 29, 2024

Data Integration in M&A is a complex process involving merging different business functions, as it consists of aligning diverse cultures, systems, and processes across two organizations. It enables easy data sharing and collaboration across teams, improving productivity and reducing operational costs. What is M&A Integration?

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Astera

APRIL 24, 2024

There are different types of data ingestion tools, each catering to the specific aspect of data handling. Standalone Data Ingestion Tools : These focus on efficiently capturing and delivering data to target systems like data lakes and data warehouses.

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Insight Software

MAY 27, 2022

How Synapse works with Data Lakes and Warehouses. Synapse services, data lakes, and data warehouses are often discussed together. Here’s how they correlate: Data lake: An information repository that can be stored in a variety of different ways, typically in a raw format like SQL. Book A Demo.

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Astera

AUGUST 4, 2023

In the world of technology, a data lake is a term we use to describe a large, centralized storage repository that organizations use to store vast amounts of raw, unstructured, and semi-structured data. Data lakes are capable of storing structured, semi-structured, and unstructured data.

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Astera

JUNE 5, 2024

Streaming ETL is a modern approach to extracting, transforming, and loading (ETL) that processes and moves data from source to destination in real-time. It relies on real-time data pipelines that process events as they occur. Events refer to various individual pieces of information within the data stream.

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Astera

JANUARY 11, 2024

Understanding the Shift from Siloed Data to Centralized Data Many organizations still operate with siloed financial data, limiting their ability to harness analytics’ power fully. In such cases, data isn’t easily accessible or shared across the organization.

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Insight Software

DECEMBER 17, 2020

In his classic work, the Visual Display of Quantitative Information , Edward R. Tufte powerfully illustrates the impact that data visualization can have on real-world decisions. Legacy tools required a deep understanding of the source data and careful advance planning to determine the use of the resulting information.

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Domo

JUNE 4, 2024

For more information on Domo’s presence at Snowflake AI Data Cloud Summit 2024, visit: here. ### About Domo Domo puts data to work for everyone so they can multiply their impact on the business. For more information, visit www.domo.com.

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Astera

APRIL 27, 2023

The modern data stack has revolutionized the way organizations approach data management, enabling them to harness the power of data for informed decision-making and strategic planning. As for the data pipeline tools , they should be easy to use and should offer a variety of features.

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Insight Software

JANUARY 15, 2021

The lack of ability to get meaningful information out of ERP systems continues to be one of the top complaints of business executives across every industry. A non-developer can build a custom data warehouse with Jet Analytics in as little as 30 minutes. Visit insightsoftware.com for more information and request a free demo.

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Insight Software

JANUARY 6, 2021

In an earlier blog post, we discussed an innovative way to automate the extraction, transformation, and loading of data from your existing ERP system into a test or development environment. This approach shortens the downtime required in the days preceding an ERP system go-live. appeared first on insightsoftware.

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Astera

AUGUST 3, 2023

Start by identifying your recent EDI transactions and the methods you use to exchange information with your trading partners. Additionally, robust reporting capabilities are essential for analyzing data and making informed business decisions. Enable Frictionless B2B Data Exchange With Astera EDIConnect View Demo

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Astera

AUGUST 13, 2024

The transition includes adopting in-memory databases, data streaming platforms, and cloud-based data warehouses, which facilitate data ingestion , processing, and retrieval. The upgrade allows employees to access and analyze data easily, essential for quickly making informed business decisions.

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Astera

DECEMBER 28, 2023

So, in this article, we’re going to compare Airbyte vs Fivetran vs Astera, three of the best data integration tools , to help you make an informed decision. Fivetran Fivetran is a cloud-based data movement platform that relies solely on ELT to move data between two systems.

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Data Warehouse Data Quality Documentation Data Management 52

Astera

DECEMBER 28, 2023

So, in this article, we’re going to compare Airbyte vs Fivetran vs Astera, three of the best data integration tools , to help you make an informed decision. Fivetran Fivetran is a cloud-based data movement platform that relies solely on ELT to move data between two systems.

Data Warehouse 52

Data Warehouse Data Quality Documentation Data Management 52

Astera

OCTOBER 31, 2023

At its core, it is a set of processes and tools that enables businesses to extract raw data from multiple source systems, transform it to fit their needs, and load it into a destination system for various data-driven initiatives. The target system is most commonly either a database, a data warehouse, or a data lake.

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Astera

AUGUST 15, 2024

What is Data Access? Data access is the users’ ability to retrieve, modify, move, and share data, typically stored on an offline storage device, a data warehouse, or the cloud. This makes proper data access management even more critical. What Is Data Access Management?

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Astera

MARCH 30, 2023

It is an integral aspect of data management within an organization as it enables the stakeholders to access and utilize relevant data sets for analysis, decision making, and other purposes. It involve multiple forms, depending on the requirements and objectives of stakeholders.

Data Quality 52

Data Quality Data Warehouse Data Security Finance 52

Domo

APRIL 10, 2017

In fact, with the huge volume of data available today, we found that very little of it is informing the daily decisions of many of the retailers we met, who then have to rely on experience and instinct to make decisions. Traditional BI focuses on the central data warehouse, which includes their primary business data.

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Astera

DECEMBER 16, 2022

Data collection has increased vastly due to the growing digitalization of information. IoT systems are another significant driver of Big Data. Many businesses move their data to the cloud to overcome this problem. Cloud-based data warehouses are becoming increasingly popular for storing large amounts of data.

Data Management 52

Data Management Data Warehouse Big Data Procurement 52

Astera

DECEMBER 16, 2022

Data collection has increased vastly due to the growing digitalization of information. IoT systems are another significant driver of Big Data. Many businesses move their data to the cloud to overcome this problem. Cloud-based data warehouses are becoming increasingly popular for storing large amounts of data.

Data Management 52

Data Management Data Warehouse Big Data Procurement 52

Astera

DECEMBER 2, 2022

Data collection has increased vastly due to the growing digitalization of information. IoT systems are another significant driver of Big Data. Many businesses move their data to the cloud to overcome this problem. Cloud-based data warehouses are becoming increasingly popular for storing large amounts of data.

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