Astera

NOVEMBER 14, 2023

If you have had a discussion with a data engineer or architect on building an agile data warehouse design or maintaining a data warehouse architecture, you’d probably hear them say that it is a continuous process and doesn’t really have a definite end. What do you need to build an agile data warehouse?

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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

NOVEMBER 13, 2023

D ata is the lifeblood of informed decision-making, and a modern data warehouse is its beating heart, where insights are born. In this blog, we will discuss everything about a modern data warehouse including why you should invest in one and how you can migrate your traditional infrastructure to a modern data warehouse.

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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?

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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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Actian

JULY 17, 2019

If your company has existed for a number of years, then you likely have multiple databases, data marts and data warehouses, developed for independent business functions, that now must be integrated to provide the holistic perspective that digitally transformed business processes require. Why are distributed queries problematic?

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Actian

JUNE 4, 2019

Implementing a data warehouse is a big investment for most companies and the decisions you make now will impact both your IT costs and the business value you are able to create for many years. Data Warehouse Cost. Your data warehouse is the centralized repository for your company’s data assets.

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Insight Software

JANUARY 20, 2021

That process, broadly speaking, is called data management. As the volume of available information continues to grow, data management will become an increasingly important factor in effective business management. Pile on external data from suppliers and external service providers, and it begins to appear unmanageable.

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Tableau

MARCH 30, 2021

But the true value of data lakes comes from being able to plumb them for new insights. These insights can be ad-hoc or can inform additions to your data processing pipeline. You may just need to quickly ask a question of a csv file stored in your data lake without worrying about moving the file to an enterprise data warehouse.

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Tableau

MAY 25, 2021

Take advantage of the open source and open data formats of Delta Lake to make data accessible to everyone . Work with any data warehouse or data platform that supports Parquet. Delta Sharing enables secure data sharing with open, secure access and seamless sharing between data consumers, providers, and sharers. .

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Domo

MAY 24, 2021

Business users, who will be able to quickly process data reports using analytics without bottlenecks from ingestion, access, or availability. Business leaders, who will get reports available in real-time—with the most recent data—to make informed, data-driven decisions.

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Astera

DECEMBER 9, 2024

Data Governance is a systematic approach to managing and utilizing an organizations data. It ensures data quality, security, and accessibility for informed decision-making. However, managing, analyzing, and governing the data is a complex process.

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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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Astera

JANUARY 2, 2024

Businesses, both large and small, find themselves navigating a sea of information, often using unhealthy data for business intelligence (BI) and analytics. 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.

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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

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? Try Astera. EDIConnect for EDI management.

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Astera

SEPTEMBER 1, 2023

The significance of data warehousing for insurance cannot be overstated. It forms the bedrock of modern insurance operations, facilitating data-driven insights and streamlined processes to better serve policyholders. The data warehouse has the highest adoption of data solutions, used by 54% of organizations.

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Astera

JANUARY 13, 2023

The rise of unconventional data sources such as IoT, social media, and satellite imagery, and the consequent increase in data volume, variety, and velocity, has accelerated cloud adoption as modern enterprises want to leverage cloud data warehouses and data lakes to effectively process and store data.

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Astera

FEBRUARY 20, 2023

Healthcare data integration involves combining data from various touchpoints into a single, consolidated data repository. This data is cleansed and transformed during the process to be usable for reporting and analytics, so healthcare practitioners can make informed, data-driven decisions.

Healthcare 52

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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.

Data Warehouse 52

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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

JUNE 3, 2024

Database definition A database is a structured collection of data designed to store, manage, and retrieve information. In a database, also denoted as DB, data is normally arranged within tables, defined by rows and columns, like a spreadsheet layout that facilitates data organization.

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Actian

JUNE 12, 2019

Actian Avalanche delivers an operational data warehouse as a managed service in the cloud. A prerequisite is to have the Actian Avalanche JDBC driver downloaded and available in the environment where the tools run. More information about the Looker IP addresses is available at Enabling Secure Database Access.

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Astera

SEPTEMBER 20, 2023

Enforces data quality standards through transformations and cleansing as part of the integration process. Use Cases Use cases include data lakes and data warehouses for storage and initial processing. Use cases include creating data warehouses, data marts, and consolidated data views for analytics and reporting.

Data Warehouse 52

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Astera

SEPTEMBER 20, 2023

Enforces data quality standards through transformations and cleansing as part of the integration process. Use Cases Use cases include data lakes and data warehouses for storage and initial processing. Use cases include creating data warehouses, data marts, and consolidated data views for analytics and reporting.

Data Warehouse 52

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Astera

AUGUST 21, 2023

Dimensional attributes are often repeated across multiple records within a dimension table which can cause data quality issues. Since data is duplicated in denormalization, frequent changes can also cause certain tables to display out-of-date information. This can be especially troubling when handling large datasets.

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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

MAY 9, 2023

Therefore, understanding the importance of processing data as per best practices can help unlock new opportunities for growth and success. What is Data Processing? Data processing involves transforming raw data into valuable information for businesses. Interested in Learning More About Cloud Data Integration?

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Insight Software

JULY 26, 2022

Angles for Oracle simplifies the process of accessing data from Oracle ERPs for reporting and analytical insights; offering seamless integration with cloud data warehouse targets. Organizations can download, install, and have a personalized version of Angles in Microsoft Power BI or other BI tools of choice in just minutes.

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Insight Software

JULY 26, 2022

Angles for Oracle simplifies the process of accessing data from Oracle ERPs for reporting and analytical insights; offering seamless integration with cloud data warehouse targets. Organizations can download, install, and have a personalized version of Angles in Microsoft Power BI or other BI tools of choice in just minutes.

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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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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

NOVEMBER 30, 2023

Building upon the strengths of its predecessor, Data Vault 2.0 elevates data warehouse automation by introducing enhanced scalability, agility, and adaptability. It’s designed to efficiently handle and process vast volumes of diverse data, providing a unified and organized view of information. vs Data Vault 2.0

Data Warehouse 52

Data Warehouse Big Data Healthcare Data Governance 52

Astera

SEPTEMBER 28, 2023

While the destination can be any storage system, organizations frequently use ETL for their data warehousing projects. The ETL (Extract, Transform, Load) Process eBook: Your Guide To Breaking Down Data Silos With ETL Free Download Why is ETL Important for Businesses? So, the data flows in the opposite direction.

Data Warehouse 52

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

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

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Astera

JANUARY 31, 2024

Businesses need to integrate data before they can use it to inform their strategic decisions. It is a process that involves consolidating information from various sources, transforming it into a unified format, and loading it into a centralized repository. Try for free today. Azure SQL Database).

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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.

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