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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Dataversity

AUGUST 9, 2021

As I’ve been working to challenge the status quo on Data Governance – I get a lot of questions about how it will “really” work. The Business Dislikes Our Data Warehouse appeared first on DATAVERSITY. I’ll be sharing these questions and answers via this DATAVERSITY® series. Last year I wrote […]. The post Dear Laura: Help!

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Dataversity

AUGUST 9, 2021

As I’ve been working to challenge the status quo on Data Governance – I get a lot of questions about how it will “really” work. The Business Dislikes Our Data Warehouse appeared first on DATAVERSITY. I’ll be sharing these questions and answers via this DATAVERSITY® series. Last year I wrote […]. The post Dear Laura: Help!

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Dataversity

AUGUST 15, 2022

If data is the new oil, then high-quality data is the new black gold. Just like with oil, if you don’t have good data quality, you will not get very far. So, what can you do to ensure your data is up to par and […]. You might not even make it out of the starting gate.

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Dataversity

FEBRUARY 1, 2021

Project sponsors seek to empower more and better data-driven decisions and actions throughout their enterprise; they intend to expand their […]. The post Avoid These Mistakes on Your Data Warehouse and BI Projects: Part 3 appeared first on DATAVERSITY.

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Dataversity

JANUARY 11, 2021

Project sponsors seek to empower more and better data-driven decisions and actions throughout their enterprise; they intend to expand their user base for […]. The post Avoid These Mistakes on Your Data Warehouse and BI Projects: Part 2 appeared first on DATAVERSITY.

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Analysts Corner

JUNE 18, 2023

Data integration has become a crucial aspect of managing this information, and two popular approaches have emerged to address these needs: Extract, Transform, Load (ETL) and Extract, Load, Transform (ELT). This process ensures that data is clean, accurate, and ready for analysis and reporting. ETL and ELT: Understanding the Basics 1.1

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Data Pine

SEPTEMBER 29, 2022

1) What Is Data Quality Management? 4) Data Quality Best Practices. 5) How Do You Measure Data Quality? 6) Data Quality Metrics Examples. 7) Data Quality Control: Use Case. 8) The Consequences Of Bad Data Quality. 9) 3 Sources Of Low-Quality Data.

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Dataversity

MAY 26, 2023

Suppose you’re in charge of maintaining a large set of data pipelines from cloud storage or streaming data into a data warehouse. How can you ensure that your data meets expectations after every transformation? That’s where data quality testing comes in.

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Dataversity

DECEMBER 11, 2023

Organizations learned a valuable lesson in 2023: It isn’t sufficient to rely on securing data once it has landed in a cloud data warehouse or analytical store. As a result, data owners are highly motivated to explore technologies in 2024 that can protect data from the moment it begins its journey in the source systems.

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Business Analysis Knowledge Share

OCTOBER 24, 2023

No longer confined to generating reports and analyzing historical data , Business Analysts are now expected to provide strategic insights that can drive decision-making and business growth. To excel in this role, it’s crucial for Business Analysts to have a solid understanding of Data Warehousing concepts.

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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.

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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.

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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.

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Astera

FEBRUARY 26, 2024

Azure SQL Data Warehouse, now called Azure Synapse Analytics, is a powerful analytics and BI platform that enables organizations to process and analyze large volumes of data in a centralized place. However, this data is often scattered across different systems, making it difficult to consolidate and utilize effectively.

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Dataversity

FEBRUARY 13, 2024

Are you drowning in data? Feeling shackled by rigid data warehouses that can’t keep pace with your ever-evolving business needs? Traditional data storage strategies are crumbling under the weight of diverse data sources, leaving you with limited analytics and frustrated decisions. You’re not alone.

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Astera

FEBRUARY 9, 2024

The data is stored in different locations, such as local files, cloud storage, databases, etc. The data is updated at different frequencies, such as daily, weekly, monthly, etc. The data quality is inconsistent, such as missing values, errors, duplicates, etc.

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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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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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Astera

FEBRUARY 9, 2024

The data is stored in different locations, such as local files, cloud storage, databases, etc. The data is updated at different frequencies, such as daily, weekly, monthly, etc. The data quality is inconsistent, such as missing values, errors, duplicates, etc. The validation process should check the accuracy of the CCF.

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Analysts Corner

JUNE 18, 2023

As the importance of data integration and analysis continues to grow, the demand for skilled ETL (Extract, Transform, Load) developers has risen accordingly. ETL developers play a critical role in managing and transforming data to enable organizations to make data-driven decisions.

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The Data Administration Newsletter

MAY 16, 2023

Data quality management (DQM) has advanced considerably over the years. The full extent of the problem was first recognized during the data warehouse movement in the 1980s.

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Astera

JANUARY 18, 2024

Fivetran is a low-code/no-code ELT (Extract, load and transform) solution that allows users to extract data from multiple sources and load it into the destination of their choice, such as a data warehouse. So, in this article, we will explore some of the best alternatives to Fivetran. Award-winning customer support.

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Dataversity

FEBRUARY 10, 2023

It’s no surprise that, in 2023, business enterprises want to become truly data-driven organizations. For many of these organizations, the path toward becoming more data-driven lies in the power of data lakehouses, which combine elements of data warehouse architecture with data lakes.

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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)? Management of all enterprise data, including master data.

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Astera

JANUARY 18, 2024

In this article, we will explore some of the best Talend alternatives so you can make an informed decision when deciding between  data integration tools. Manage All Your Data From End-to-End With a Single, Unified Platform Looking for the best Talend alternative? Pros: Support for multiple data sources and destinations.

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Dataversity

DECEMBER 16, 2020

According to IDC, the size of the global datasphere is projected to reach 163 ZB by 2025, leading to the disparate data sources in legacy systems, new system deployments, and the creation of data lakes and data warehouses. Most organizations do not utilize the entirety of the data […].

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Astera

JANUARY 2, 2024

Relying on this data to power business decisions is like setting sail without a map. This is why organizations have effective data management in place. But what exactly is data management? What Is Data Management? Organizations must also establish policies and procedures to ensure data quality and compliance.

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The Data Administration Newsletter

FEBRUARY 1, 2022

In this blog, we will discuss a common problem for data warehouses that are designed to maintain data quality and provide evidence of accuracy. Without verification, the data can’t be trusted. Enter the mundane, but necessary, task of data reconciliation. This is often a time-consuming and wasteful process.

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Astera

JUNE 13, 2023

The ETL process involves extracting data from various sources and transforming it into a structured format suitable for analysis. Finally, it involves loading it into a data warehouse or any other type of destination. Transformation: Data is cleaned, filtered, and manipulated to ensure quality and consistency.

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Astera

JUNE 13, 2023

The ETL process involves extracting data from various sources and transforming it into a structured format suitable for analysis. Finally, it involves loading it into a data warehouse or any other type of destination. Transformation: Data is cleaned, filtered, and manipulated to ensure quality and consistency.

Data Warehouse 52

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Astera

JUNE 13, 2023

The ETL process involves extracting data from various sources and transforming it into a structured format suitable for analysis. Finally, it involves loading it into a data warehouse or any other type of destination. Transformation: Data is cleaned, filtered, and manipulated to ensure quality and consistency.

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Astera

JUNE 6, 2023

Implementing scalable ETL architectures enables organizations to unlock the potential of their data repositories, facilitating timely and valuable insights for informed decision-making. This article delves into the complexities of building and optimizing scalable ETL architectures to meet the demands of modern data processing.

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Astera

DECEMBER 28, 2023

Informatica, one of the key players in the data integration space, offers a comprehensive suite of tools for data management and governance. In this article, we are going to explore the top 10 Informatica alternatives so you can select the best data integration solution for your organization.

IBM cost 52

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Astera

DECEMBER 28, 2023

Informatica, one of the key players in the data integration space, offers a comprehensive suite of tools for data management and governance. In this article, we are going to explore the top 10 Informatica alternatives so you can select the best data integration solution for your organization.

IBM cost 52

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Astera

JUNE 13, 2023

Data pipelines are a fundamental element in today’s technology landscape, providing seamless data movement and valuable insights for businesses. In this article, we will explore the concept of data pipelines, their key components, and the various use cases and benefits they offer.

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Astera

JANUARY 31, 2024

So, in this article we will explore some of the most capable SQL ETL tools for data integration. While SSIS is Microsoft’s own ETL service, it’s not the only player in the data integration landscape that enables users to implement ETL in SQL Server, as we’ll see later in the article. Azure SQL Database).

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