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

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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.

Data Warehouse 52

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BizAcuity

APRIL 14, 2022

For example, one company let all its data scientists access and make changes to their data tables for report generation, which caused inconsistency and cost the company significantly. The best way to avoid poor data quality is having a strict data governance system in place. Data Governance.

Big Data 130

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Analysts Corner

JUNE 18, 2023

ETL Developer: Defining the Role An ETL developer is a professional responsible for designing, implementing, and managing ETL processes that extract, transform, and load data from various sources into a target data store, such as a data warehouse. Oracle, SQL Server, MySQL) Experience with ETL tools and technologies (e.g.,

Data Warehouse 130

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Domo

APRIL 30, 2021

Data integration, not application integration. Organizations need the ability to integrate all data sources—clouds, applications, servers, data warehouses, etc. Enterprises may try to resolve the data integration issue through application integration and system orchestration. Governance and control.

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Business Analysis Knowledge Share

OCTOBER 24, 2023

Data Warehousing is the process of collecting, storing, and managing data from various sources into a central repository. This repository, often referred to as a data warehouse , is specifically designed for query and analysis. Data Sources Data Warehouses collect data from diverse sources within an organization.

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Astera

FEBRUARY 27, 2024

52% of IT experts consider faster analytics essential to data warehouse success. However, scaling your data warehouse and optimizing performance becomes more difficult as data volume grows. Leveraging data warehouse best practices can help you design, build, and manage data warehouses more effectively.

Data Warehouse 52

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Astera

FEBRUARY 27, 2024

52% of IT experts consider faster analytics essential to data warehouse success. However, scaling your data warehouse and optimizing performance becomes more difficult as data volume grows. Leveraging data warehouse best practices can help you design, build, and manage data warehouses more effectively.

Data Warehouse 52

Data Warehouse Data Quality Cloud Computing Monitoring 52

Astera

APRIL 3, 2024

As important as it is to know what a data quality framework is, it’s equally important to understand what it isn’t: It’s not a standalone concept—the framework integrates with data governance, security, and integration practices to create a holistic data ecosystem.

Data Quality 52

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Astera

JANUARY 2, 2024

Free Download Here’s what the data management process generally looks like: Gathering Data: The process begins with the collection of raw data from various sources. Once collected, the data needs a home, so it’s stored in databases, data warehouses , or other storage systems, ensuring it’s easily accessible when needed.

Data Management 52

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Astera

JULY 3, 2024

It creates a space for a scalable environment that can handle growing data, making it easier to implement and integrate new technologies. Moreover, a well-designed data architecture enhances data security and compliance by defining clear protocols for data governance.

Data Architecture 40

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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

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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Astera

AUGUST 13, 2024

Improve Data Access and Usability Modernizing data infrastructure involves transitioning to systems that enable real-time data access and analysis. The transition includes adopting in-memory databases, data streaming platforms, and cloud-based data warehouses, which facilitate data ingestion , processing, and retrieval.

Data Governance 52

Data Governance Data Architecture Data Quality Real-time Data 52

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

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Astera

MARCH 20, 2024

The increasing digitization of business operations has led to the generation of massive amounts of data from various sources, such as customer interactions, transactions, social media, sensors, and more. This data, often referred to as big data, holds valuable insights that you can leverage to gain a competitive edge.

Data Management 52

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Astera

MAY 25, 2023

We’ll provide advice on topics such as data governance, choosing between ETL and ELT, integrating with other systems, and more. Snowflake is a modern cloud-based data platform that offers near-limitless scalability, storage capacity, and analytics power in an easily managed architecture. So, let’s get started!

Data Quality 52

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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

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Astera

NOVEMBER 28, 2023

For instance, they can extract data from various sources like online sales, in-store sales, and customer feedback. They can then transform that data into a unified format, and load it into a data warehouse. Facilitating Real-Time Analytics: Modern data pipelines allow businesses to analyze data as it is generated.

Data Warehouse 52

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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.

Data Warehouse 52

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Business Analysis Knowledge Share

OCTOBER 27, 2023

Enhanced Data Governance : Use Case Analysis promotes data governance by highlighting the importance of data quality , accuracy, and security in the context of specific use cases. This may involve data from internal systems, external sources, or third-party data providers.

Business Intelligence 52

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Astera

JANUARY 23, 2024

Businesses need scalable, agile, and accurate data to derive business intelligence (BI) and make informed decisions. Their data architecture should be able to handle growing data volumes and user demands, deliver insights swiftly and iteratively. The combination of data vault and information marts solves this problem.

Agile 52

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Astera

JULY 13, 2023

This process includes moving data from its original locations, transforming and cleaning it as needed, and storing it in a central repository. Data integration can be challenging because data can come from a variety of sources, such as different databases, spreadsheets, and data warehouses.

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Astera

MAY 14, 2024

Let’s look at some of the metadata types below: Operational metadata: details how and when data occurs and transforms. This metadata type helps to manage, monitor, and optimize system architecture performance. Examples include time stamps, execution logs, data lineage, and dependency mapping. Image by Astera.

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Domo

SEPTEMBER 27, 2021

As someone whose role at Domo is to provide data governance advice to the company’s largest customers, I have lots of conversations with IT leaders about data lakes. At its core, a data lake is a centralized repository that stores all of an organization’s data.

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Astera

FEBRUARY 16, 2024

There are several ETL tools written in Python that leverage Python libraries for extracting, loading and transforming diverse data tables imported from multiple data sources into data warehouses. Supports multiple data types and formats but requires additional libraries for different sources.

Data Warehouse 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.

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Astera

JANUARY 15, 2024

Push-down ELT technology: Matillion utilizes push-down ELT technology, which pushes transformations down to the data warehouse for efficient processing. Automation and scheduling: You can automate data pipelines and schedule them to run at specific times. The monitoring and logging capabilities are also lacking.

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Data Pine

SEPTEMBER 29, 2022

With quality data at their disposal, organizations can form data warehouses for the purposes of examining trends and establishing future-facing strategies. Industry-wide, the positive ROI on quality data is well understood. You should then monitor that metric for a longer period with the goal to reduce it.

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Astera

JANUARY 18, 2024

Data Quality : It includes features for data quality management , ensuring that the integrated data is accurate and consistent. Data Governance : Talend’s platform offers features that can help users maintain data integrity and compliance with governance standards. EDIConnect for EDI management.

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Astera

AUGUST 8, 2023

Data Validation: Astera guarantees data accuracy and quality through comprehensive data validation features, including data cleansing, error profiling, and data quality rules, ensuring accurate and complete data. to help clean, transform, and integrate your data.

Data Quality 52

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Astera

JANUARY 1, 2024

This eBook is your guide to ensuring data quality across your organization for accurate BI and analytics. 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.

Data Quality 52

Data Quality Data Governance Government Data Warehouse 52

Astera

JANUARY 1, 2024

This eBook is your guide to ensuring data quality across your organization for accurate BI and analytics. 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.

Data Quality 52

Data Quality Data Governance Government Data Warehouse 52

Astera

NOVEMBER 27, 2023

Applications of Data Profiling Data profiling finds applications in various areas and domains, including: Data Integration and Data Warehousing : Data profiling facilitates the integration of multiple datasets into a centralized data warehouse, ensuring data accuracy, consistency, and compatibility between sources.

Data Mining 52

Data Mining Data Quality Business Intelligence Business Intelligence 52

Astera

AUGUST 12, 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. Once the workflow is established, you must monitor the pipeline.

IBM Support 52

IBM Support Data Quality IBM Maintenance IBM cost 52

Astera

MAY 13, 2024

It prepares data for analysis, making it easier to obtain insights into patterns and insights that aren’t observable in isolated data points. Once aggregated, data is generally stored in a data warehouse. Enhance Data Quality Next, enhance your data’s quality to improve its reliability.

Supply Chain 52

Supply Chain E-Commerce Healthcare Data Quality 52

Astera

JUNE 13, 2023

Data Streaming For real-time or streaming data, they employs techniques to process data as it flows in, allowing for immediate analysis, monitoring, or alerting. Stream processing platforms handle the continuous flow of data, enabling real-time insights.

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