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.

Data Warehouse 52

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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

APRIL 7, 2023

However, managing reams of data—coming from disparate sources such as electronic and medical health records (EHRs/MHRs), CRMs, insurance claims, and health-tracking apps—and deriving meaningful insights is an overwhelming task. Given the critical nature of medical data, there are several factors to be considered for its management.

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Data Warehouse Healthcare Data Management Data Quality 52

Astera

OCTOBER 27, 2023

What is a Cloud Data Warehouse? Simply put, a cloud data warehouse is a data warehouse that exists in the cloud environment, capable of combining exabytes of data from multiple sources. A cloud data warehouse is critical to make quick, data-driven decisions.

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Astera

APRIL 27, 2023

Data Lake Vs Data Warehouse Every business needs to store, analyze, and make decisions based on data. To do this, they must choose between two popular data storage technologies: data lakes and data warehouses. What is a Data Lake? What is a Data Warehouse?

Data Warehouse 52

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BizAcuity

APRIL 1, 2023

Thanks to the recent technological innovations and circumstances to their rapid adoption, having a data warehouse has become quite common in various enterprises across sectors. Data governance and security measures are critical components of data strategy. To ensure minimum latency, efficient data management is key.

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BizAcuity

JANUARY 31, 2023

Thanks to the recent technological innovations and circumstances to their rapid adoption, having a data warehouse has become quite common in various enterprises across sectors. Data governance and security measures are critical components of data strategy. To ensure minimum latency, efficient data management is key.

Business Intelligence 130

Business Intelligence Business Intelligence Data Warehouse Data Mining 130

Astera

DECEMBER 21, 2022

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 With that, here are some features to look out for when searching for the best cloud data warehouse for your business.

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Data Warehouse Cloud Computing Cybersecurity Data Modelling 52

Astera

MARCH 20, 2024

This article covers everything about enterprise data management, including its definition, components, comparison with master data management, benefits, and best practices. What Is Enterprise Data Management (EDM)? Why is Enterprise Data Management Important?

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Data Management Master Data Management Government Data Warehouse 52

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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BizAcuity

MARCH 28, 2022

The user journey concludes with how the user can refer new users through a mix of social proof and incentives. Unified Data for a single view of player/users. The data points related to users/players reside across multiple channels and platforms i.e. websites, apps, CRMs, Ad networks, and financial software.

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Actian

JULY 11, 2019

OT is an umbrella term that describes technology components used to support a company’s operations – typically referring to traditional operations activities, such as manufacturing, supply chain, distribution, field service, etc. Why operational technology data management may never be standardized. appeared first on Actian.

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Data Management Supply Chain Data Warehouse Artificial Intelligence 40

Argon Digital

AUGUST 11, 2022

While not every business or agency has quite this level of document management overhead, dealing with paper forms and disorganized electronic documents costs time, money, risk, and employee burnout. From a metal cabinet to digital document management.

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Astera

JANUARY 25, 2024

Reverse ETL (Extract, Transform, Load) is the process of moving data from central data warehouse to operational and analytic tools. How Does Reverse ETL Fit in Your Data Infrastructure Reverse ETL helps bridge the gap between central data warehouse and operational applications and systems.

E-Commerce 52

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Sisense

MARCH 20, 2019

Get ready data engineers, now you need to have both AWS and Microsoft Azure to be considered up-to-date. With most enterprise companies migrating to the cloud, having the knowledge of both these data warehouse platforms is a must. Data Warehousing. Hadoop : This is the main framework for processing Big Data.

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Astera

MAY 9, 2023

This process involves the following six stages: Data Collection Data is gathered from reliable sources, including databases such as data lakes and data warehouses. Data Preparation The data collected in the first stage is then prepared and cleaned. Try it Now!

Data Warehouse 52

Data Warehouse Big Data Innovation Cloud Computing 52

Domo

OCTOBER 22, 2021

Even though technology transformation is enabling accelerated progress in data engineering, analytics deployment, and predictive modeling to drive business value, deploying a data strategy across cloud systems remains inefficient and cumbersome for CIOs. One of the key obstacles is data access.

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Astera

NOVEMBER 30, 2023

With rising data volumes, dynamic modeling requirements, and the need for improved operational efficiency, enterprises must equip themselves with smart solutions for efficient data management and analysis. This is where Data Vault 2.0 It supersedes Data Vault 1.0, What’s New in Data Vault 2.0? Data Vault 2.0

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Astera

MARCH 11, 2024

It eliminates the need for complex infrastructure management, resulting in streamlined operations. According to a recent Gartner survey, 85% of enterprises now use cloud-based data warehouses like Snowflake for their analytics needs. Stitch also offers solutions for non-technical teams to quickly set up data pipelines.

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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

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 8

Data Warehouse Data Management Planning 8

Astera

JUNE 3, 2024

So, whether you’re checking the weather on your phone, making an online purchase, or even reading this blog, you’re accessing data stored in a database, highlighting their importance in modern data management. So, let’s dive into what databases are, their types, and see how they improve business performance.

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Data Warehouse Documentation E-Commerce Data Management 52

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.

Real-time Data 52

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Astera

SEPTEMBER 20, 2023

What is Data Integration? Data integration is a core component of the broader data management process, serving as the backbone for almost all data-driven initiatives. It ensures businesses can harness the full potential of their data assets effectively and efficiently. How Does Data Integration Work?

Data Warehouse 52

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

Astera

SEPTEMBER 20, 2023

What is Data Integration? Data integration is a core component of the broader data management process, serving as the backbone for almost all data-driven initiatives. It ensures businesses can harness the full potential of their data assets effectively and efficiently. How Does Data Integration Work?

Data Warehouse 52

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

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. The below screen shots show the samples from reference implementation.

Healthcare 52

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Astera

DECEMBER 7, 2023

ETL refers to a process used in data integration and warehousing. It gathers data from various sources, transforms it into a consistent format, and then loads it into a target database, data warehouse , or data lake. Extract: Gather data from various sources like databases, files, or web services.

Supply Chain 52

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

Astera

DECEMBER 18, 2023

However, as data volumes continue to grow and the need for real-time insights increases, banks are pushed to embrace more agile data management strategies. Change data capture (CDC) emerges as a pivotal solution that enables real-time data synchronization and analysis.

Finance 52

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Astera

MARCH 26, 2023

But managing this data can be a significant challenge, with issues ranging from data volume to quality concerns, siloed systems, and integration difficulties. In this blog, we’ll explore these common data management challenges faced by insurance companies.

Documentation 52

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Astera

SEPTEMBER 28, 2023

Reverse ETL is a relatively new concept in the field of data engineering and analytics. It’s a data integration process that involves moving data from a data warehouse, data lake, or other analytical storage systems back into operational systems, applications, or databases that are used for day-to-day business operations.

Data Warehouse 52

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

Astera

DECEMBER 7, 2023

ETL refers to a process used in data warehousing and integration. It gathers data from various sources, transforms it into a consistent format, and then loads it into a target database, data warehouse, or data lake. Extract: Gather data from various sources like databases, files, or web services.

Supply Chain 52

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

Astera

JANUARY 24, 2024

What is Change Data Capture? Change Data Capture (CDC) is a technique used in data management to identify and track changes made to data in a database, and applying those changes to the target system. Below is the step-by-step explanation on how change data capture typically works.

E-Commerce 52

E-Commerce Data Warehouse Real-time Data Monitoring 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

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Data Pine

JANUARY 24, 2021

You don’t have to do all the database work, but an ETL service does it for you; it provides a useful tool to pull your data from external sources, conform it to demanded standard and convert it into a destination data warehouse. ETL data warehouse*. 7) Who are the final users of your analysis results?

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Astera

APRIL 3, 2024

It’s not just about fixing errors—the framework goes beyond cleaning data as it emphasizes preventing data quality issues throughout the data lifecycle. A data quality management framework is an important pillar of the overall data strategy and should be treated as such for effective data management.

Data Quality 52

Data Quality Data Governance Government Monitoring 52

Astera

MAY 14, 2024

What is metadata management? Before shedding light on metadata management, it is crucial to understand what metadata is. Metadata refers to the information about your data. This data includes elements representing its context, content, and characteristics. What is a metadata management framework (MMF)?

Government 52

Government Data Governance Master Data Management Documentation 52

Astera

DECEMBER 21, 2022

Whether you are running a video chat app, an outbound contact center, or a legal firm, you will face challenges in keeping track of overwhelming data. Managing and keeping track of all of this data is not easy. While organizing data effectively can be difficult, the rewards of doing so can be significant.

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Data Management Data Governance Government Data Warehouse 52