Actian

NOVEMBER 26, 2019

The Challenges of Connecting Disparate Data Sources and Migrating to a Cloud Data Warehouse. Migrating to a cloud data warehouse makes strategic sense in the modern context of cloud services and digital transformation. Conceptually, it is easy to understand why you would want to move to a cloud data warehouse.

Data Warehouse 8

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Astera

SEPTEMBER 4, 2023

Data replication tools allow companies to distribute data to be accessed from various geographical locations. Enhance Data Security Protocols: Modern data replication tools copy data and protect it during the replication process. The tool provides an easy-to-use interface.

IBM Maintenance 52

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Astera

SEPTEMBER 20, 2023

It ensures businesses can harness the full potential of their data assets effectively and efficiently. It empowers them to remain competitive and innovative in an increasingly data-centric landscape by streamlining data analytics, business intelligence (BI) , and, eventually, decision-making.

Data Warehouse 52

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

Astera

SEPTEMBER 20, 2023

It ensures businesses can harness the full potential of their data assets effectively and efficiently. It empowers them to remain competitive and innovative in an increasingly data-centric landscape by streamlining data analytics, business intelligence (BI) , and, eventually, decision-making.

Data Warehouse 52

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

Astera

MAY 14, 2024

Moreover, when powered by AI and machine learning, metadata management solution terms as “active,”—meaning it attains potency to integrate with other applications, including data analytics programs and simultaneously gets enhanced by utilizing human knowledge, ultimately generating new and accurate insights.

Government 52

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Astera

SEPTEMBER 20, 2024

his setup allows users to access and manage their data remotely, using a range of tools and applications provided by the cloud service. Cloud databases come in various forms, including relational databases, NoSQL databases, and data warehouses. Ensure the provider has robust security protocols and certifications.

Data Warehouse 40

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Astera

JUNE 8, 2023

If you’re looking to store large amounts of data securely and access it quickly, then PostgreSQL and Oracle are both great options. Replication and High Availability: PostgreSQL provides built-in replication options for data redundancy and high availability. What Is Oracle?

Documentation 52

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Astera

JUNE 8, 2023

If you’re looking to store large amounts of data securely and access it quickly, then PostgreSQL and Oracle are both great options. Replication and High Availability: PostgreSQL provides built-in replication options for data redundancy and high availability. What Is Oracle?

Documentation 52

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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

DECEMBER 22, 2022

Of course, traditional, on-premises storage solutions cannot handle petabyte-scale data. Migrating data to the cloud is part of a flexible and scalable approach to data storage. A robust data integration tool simplifies connecting to cloud storage. How Automated Data Extraction Fits Here.

Data Quality 52

Data Quality Data Mining Data Warehouse Data Governance 52

Astera

OCTOBER 19, 2023

Built-in connectivity for these sources allows for easier data extraction and integration, as users will be able to retrieve complex data with only a few clicks. Data Security Data security and privacy checks protect sensitive data from unauthorized access, theft, or manipulation. This was up 2.6%

IBM Support 40

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Actian

FEBRUARY 24, 2020

The first challenge in managing data in RPA solutions is connecting the various parts of the IT ecosystem together so they can be managed in a consistent and centralized way to ensure the free-flow of data, security, and manageability.

Digital Transformation 40

Digital Transformation Artificial Intelligence Data Warehouse Big Data 40

Astera

APRIL 10, 2023

In today’s digital landscape, data management has become an essential component for business success. Many organizations recognize the importance of big data analytics, with 72% of them stating that it’s “very important” or “quite important” to accomplish business goals.

Data Management 52

Data Management IBM Maintenance Real-time Data IBM Support 52

Insight Software

MAY 1, 2023

Third-party data might include industry benchmarks, data feeds (such as weather and social media), and/or anonymized customer data. Four Approaches to Data Analytics The world of data analytics is constantly and quickly changing. The application thus becomes a vital information hub.

Embedded Analytics 52

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Insight Software

MARCH 23, 2023

Organizations are promised a ‘one size fits all’ tool that will allow users to ‘drag n drop’ their way to data fluency. It Provides Both Control and Governance Over Data Data governance and control are critical to balancing your business needs for data access with the IT team’s need for appropriate data security.

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