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

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. What is a Data Warehouse?

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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? As businesses evolve, so does their data.

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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)? Why is Enterprise Data Management Important?

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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 case your data requires extensive transformation or cleaning, Fivetran is not the ideal solution.

Data Warehouse 52

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Actian

SEPTEMBER 12, 2019

As these distributed AI algorithms in edge devices become more sophisticated, persistent data requirements must advance at the same pace to enable the emerging use cases and immersive experiences that the market demands. You can learn more about Actian’s Cloud Data Warehouse here.

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Actian

SEPTEMBER 12, 2019

As these distributed AI algorithms in edge devices become more sophisticated, persistent data requirements must advance at the same pace to enable the emerging use cases and immersive experiences that the market demands. You can learn more about Actian’s Cloud Data Warehouse here.

Data Requirement 8

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Astera

SEPTEMBER 25, 2024

The data management and integration world is filled with various software for all types of use cases, team sizes, and budgets. It provides many features for data integration and ETL. Top 10 Airbyte Alternatives in 2024 Astera Astera is an AI-powered no-code data management solution. Govern their data assets.

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The BAWorld

SEPTEMBER 18, 2024

There exist various forms of data integration, each presenting its distinct advantages and disadvantages. The optimal approach for your organization hinges on factors such as data requirements, technological infrastructure, performance criteria, and budget constraints. Extract: Data is pulled from its source.

Data Warehouse 52

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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. What are Snowflake ETL Tools? Snowflake ETL tools are not a specific category of ETL tools.

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Astera

JANUARY 23, 2024

Their data architecture should be able to handle growing data volumes and user demands, deliver insights swiftly and iteratively. Traditional data warehouses with predefined data models and schemas are rigid, making it difficult to adapt to evolving data requirements. What are Information Marts?

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Cprime

MAY 4, 2023

Data integration merges the data from disparate systems, enabling a full view of all the information flowing through an organization and revealing a wealth of valuable business insights. What is Data Integration? Replication can occur in bulk, in batches on a scheduled basis, or in real time across data centers and/or the cloud.

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Astera

JULY 3, 2024

Data architecture is important because designing a structured framework helps avoid data silos and inefficiencies, enabling smooth data flow across various systems and departments. An effective data architecture supports modern tools and platforms, from database management systems to business intelligence and AI applications.

Data Architecture 40

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Astera

JUNE 5, 2024

In conventional ETL , data comes from a source, is stored in a staging area for processing, and then moves to the destination (data warehouse). In streaming ETL, the source feeds real-time data directly into a stream processing platform. It can be an event-based application, a web lake, a database , or a data warehouse.

Real-time Data 52

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Astera

NOVEMBER 28, 2023

Data pipelines improve data management by: Streamlining Data Processing: Data pipelines are designed to automate and manage complex data workflows. For instance, they can extract data from various sources like online sales, in-store sales, and customer feedback.

Data Warehouse 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.

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Actian

JULY 31, 2019

At one time, data was largely transactional and Online Transactional Processing (OLTP) and Enterprise resource planning (ERP) systems handled it inline, and it was heavily structured. They are generating the entire range of structured and unstructured data, but with two-thirds of it in a time-series format.

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Astera

MAY 31, 2024

Data integration combines data from many sources into a unified view. It involves data cleaning, transformation, and loading to convert the raw data into a proper state. The integrated data is then stored in a Data Warehouse or a Data Lake. Data warehouses and data lakes play a key role here.

Data Analytics 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

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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

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

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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

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Astera

AUGUST 15, 2024

One such scenario involves organizational data scattered across multiple storage locations. In such instances, each department’s data often ends up siloed and largely unusable by other teams. This displacement weakens data management and utilization. The solution for this lies in data orchestration.

Data Quality 52

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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

DECEMBER 21, 2022

Across all sectors, success in the era of Big Data requires robust management of a huge amount of data from multiple sources. 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. What are the benefits of unified data?

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Astera

SEPTEMBER 4, 2024

You can administer third-party or public data as its own domain in the mesh, ensuring consistency with your internal domain-specific datasets. What is Data Fabric? Unlike the data mesh architecture, the data fabric approach is centralized. It presents an integrated and unified data management framework.

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Astera

APRIL 3, 2023

Here are a just a few ways that data silos negatively impact an enterprise’s success: Incomplete view of organizational data Data silos prevent organizational leaders from having a comprehensive picture of the data required to make informed decisions.

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Astera

MAY 6, 2024

To assist users in navigating this choice, the following guide outlines the essential considerations for choosing a data mining tool that aligns with their specific needs: 1. It’s important to remember that the most suitable tool is the one that best harmonizes with the users’ data, objectives, and available resources.

Data Mining 52

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Astera

JUNE 14, 2023

The ultimate goal is to convert unstructured data into structured data that can be easily housed in data warehouses or relational databases for various business intelligence (BI) initiatives. High Costs: Manually extracting data requires significant human resources, leading to higher costs associated with labor.

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Astera

OCTOBER 19, 2023

An agile tool that can easily adopt various data architecture types and integrate with different providers will increase the efficiency of data workflows and ensure that data-driven insights can be derived from all relevant sources. Adaptability is another important requirement. Top 5 Data Preparation Tools for 2023 1.

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Astera

AUGUST 12, 2024

Fraudsters often exploit data quality issues, such as missing values, errors, inconsistencies, duplicates, outliers, noise, and corruption, to evade detection and carry out their schemes. According to Gartner , 60% of data experts believe data quality across data sources and landscapes is the biggest data management challenge.

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Astera

JULY 18, 2023

Repeatability and Documentation: You can easily create automated workflows or scripts to capture the steps performed during the data preparation process and then repeat them for consistency and reproducibility in analysis. Astera offers end-to-end data management from extraction to data integration, data warehousing and even API management.

Data Quality 52

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Astera

FEBRUARY 9, 2024

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. Data governance is the process of defining and implementing policies, standards, and roles for data management.

IBM Support 52

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Astera

JANUARY 12, 2024

A solid data architecture is the key to successfully navigating this data surge, enabling effective data storage, management, and utilization. Enterprises should evaluate their requirements to select the right data warehouse framework and gain a competitive advantage.

Data Architecture 52

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Insight Software

MAY 1, 2023

If the app has simple requirements, basic security, and no plans to modernize its capabilities at a future date, this can be a good 1.0. Traditional BI Platforms Traditional BI platforms are centrally managed, enterprise-class platforms. These sit on top of data warehouses that are strictly governed by IT departments.

Embedded Analytics 52

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Insight Software

MARCH 4, 2024

What types of existing IT systems are commonly used to store data required for ESRS disclosures? Data required for ESRS disclosure can be stored across various existing IT systems, depending on the nature and source of the information. What is the best way to collect the data required for CSRD disclosure?

IBM Support 52

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Insight Software

SEPTEMBER 25, 2024

That can lead to errors whenever file formats change, when teams overlook certain data, or when teams manually enter values incorrectly. Updating the data requires that you perform part or all of the copy/paste processes again. Even worse, the information in the resulting reports is outdated as soon as you create the report.

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