Top 5 Data Integration Use Cases for Data Leaders
Actian » Data Integration
by Dee Radh
1M ago
Summary Chief Data Officers (CDOs) and Chief Information Officers (CIOs) play critical roles in navigating the complexities of modern data environments. As data grows exponentially and spans across cloud, on-premises, and various SaaS applications, the challenge of integrating and managing this data becomes increasingly daunting. In the guide Top 5 Data Integration Use Cases, we explore five key data integration use cases that empower business users by enabling seamless access, consolidation, and analysis of data. These use cases highlight the significance of robust data integration solutions ..read more
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8 Key Reasons to Consider a Hybrid Data Integration Solution
Actian » Data Integration
by Dee Radh
1M ago
The guide “8 Key Reasons to Consider a Hybrid Data Integration Solution” delves deeply into the complexities of managing vast and diverse data environments, particularly emphasizing the merits for data engineers working with on-premises data systems. This comprehensive guide illustrates how hybrid data integration not only addresses existing challenges but also prepares organizations for future data management needs. One of the primary challenges highlighted in the guide is data fragmentation. Organizations today often operate on a mix of on-premises and cloud-based systems, leading to isolate ..read more
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Actian Platform Receives Data Breakthrough Award for Innovative Integration Capabilities
Actian » Data Integration
by Actian Corporation
2M ago
Data integration is a critical capability for any organization looking to connect their data—in an era when there’s more data from more sources than ever before. In fact, data integration is the key to unlocking and sustaining business growth. A modern approach to data integration elevates analytics and enables richer, more contextual insights by bringing together large data sets from new and existing sources. That’s why you need a data platform that makes integration easy. And the Actian Data Platform does exactly that. It’s why the platform was recently honored with the prestigious “Data Int ..read more
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The Data Engineering Decision Guide to Data Integration Tools
Actian » Data Integration
by Actian Corporation
2M ago
With organizations using an average of 130 apps, the problem of data fragmentation has become increasingly prevalent. As data production remains high, data engineers need a robust data integration strategy. A crucial part of this strategy is selecting the right data integration tool to unify siloed data. Assessing Your Data Integration Needs Before selecting a data integration tool, it’s crucial to understand your organization’s specific needs and data-driven initiatives, whether they involve improving customer experiences, optimizing operations, or generating insights for strategic decisions ..read more
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Data Integration
Actian » Data Integration
by Lizbeth Siller
4M ago
Achieving Success Through Data Integration & Analytics Data integration connects disparate data sources to support business decision making. Data integration solutions can include the following functions: Extract, Transform and Load (ETL) functions to connect, gather, clean and transfer data to a data mart or data warehouse for analysis. Extract, Load and Transform (ELT) technology to filter, transform and aggregate data sets inside a data warehouse. Replicating change from an operational system to a data warehouse. Data pipeline orchestration. Data transfer scheduling. Data deduplication ..read more
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Data Processing
Actian » Data Integration
by Keenan Defoor
4M ago
For data to be used effectively by analytics and machine learning applications, it must be preprocessed. Preprocessing data makes it easier to use by applying operations such as removing outliers, filtering, transforming and normalizing data from its source form. Why is data preprocessing important? Unrefined source data must be optimized for its intended use before contributing to dependable insights. Basing decisions on data that is not preprocessed will result in poorly informed decisions that are more likely to lead to unintended outcomes. Using unrepresentative samples will skew analytica ..read more
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Cloud Based Data Integration
Actian » Data Integration
by Keenan Defoor
4M ago
Cloud-based data integration allows organizations to connect on-premises and cloud-based applications or data sources using pre-built connectors with the management infrastructure hosted by a solution provider. The solution provider manages the software, including patching and software upgrades, which reduces the IT effort for the client organization. Cloud-based data integration can be extended to support new collaboration models such as integration-as-a-service (IaaS) and integration-platform-as-a-service (iPaaS), which make a single multi-tenant data integration system available to multiple ..read more
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Top Capabilities to Look for in Database Management Tools
Actian » Data Integration
by Derek Comingore
4M ago
As businesses continue to tap into ever-expanding data sources and integrate growing volumes of data, they need a solid data management strategy that keeps pace with their needs. Similarly, they need database management tools that meet their current and emerging data requirements. The various tools can serve different user groups, including database administrators (DBAs), business users, data analysts, and data scientists. They can serve a range of uses too, such as allowing organizations to integrate, store, and use their data while following governance policies and best practices. The tools ..read more
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How IT Leaders Leverage Unstructured Data
Actian » Data Integration
by Emma McGrattan
4M ago
Data-driven organizations are accustomed to using structured data. This type of data is well-defined, organized, stored in a tabular form, and typically managed in a relational database management system (RDBMS). The data is predefined and formatted to fit a set structure. A vast range of tools have been developed to optimize this type of data, which includes customer names, sales data, and transaction dates. The data is easily searchable by programming languages and data analytics tools.  Unstructured data is different.  It does not have a predefined data model or structure, making ..read more
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Data Ingestion
Actian » Data Integration
by Olivia Rhye
4M ago
What is Data Ingestion? Data must be ingested by an application program or database management system before it can be processed or analyzed. When an application or database system reads external data, it is ingesting data. Where Data Ingestion Fits in the Data Preparation Process Data preparation is a process that encompasses extract, transform & load (ETL) and includes a data ingestion step. Once the source data is identified, it must be brought into the analysis tools to gain business insights. The data will likely be a combination of structured and semi-structured data in different fi ..read more
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