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How The Cloud Made ‘Data-Driven Culture’ Possible | Part 2: Cloud Adoption

BizAcuity

Quick recap from the previous blog- The cloud is better than on-premises solutions for the following reasons: Cost cutting: Renting and sharing resources instead of building on your own. IaaS is mainly used for developing softwares (testing and development, batch processing), hosting web applications and data analysis.

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Salesforce Data Migration: What Is It & How to Set It Up?

Astera

Ensure alignment with Salesforce data models and consider any necessary data cleansing or enrichment. Data Extraction: Extract data from the source systems according to the mapping plan. Data Transformation: Apply necessary transformations to the extracted data to align it with Salesforce requirements.

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How Data Management and Big Data Analytics Speed Up Business Growth

BizAcuity

Otherwise, it will result in poor data quality and as previously mentioned, cost over 3 trillion dollars for an entire nation. Ensuring rich data quality, maximum security & governance, maintenance, efficiency in storage and analysis comes under the umbrella term of Data Management. Slow query performance.

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Build Data Warehouse with Concentrated Teams

Astera

Data Engineers : Build and manage a data warehouse strategy and execute them. Data Architects : Define a data architecture framework, including metadata, reference data, and master data. . You can avoid this and achieve peak data warehouse optimization by adopting the following practices: .

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10 Best Informatica Alternatives & Competitors in 2024

Astera

Informatica, one of the key players in the data integration space, offers a comprehensive suite of tools for data management and governance. However, for reasons such as cost, complexity, or specific feature requirements, users often seek alternative solutions.

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10 Best Informatica Alternatives & Competitors in 2024

Astera

Informatica, one of the key players in the data integration space, offers a comprehensive suite of tools for data management and governance. However, for reasons such as cost, complexity, or specific feature requirements, users often seek alternative solutions.

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Should You Have Separate Document, Time-Series, NoSQL and SQL Databases or Can a Single Database Support All of These Data Types and Requirements?

Actian

Primarily, Relational DataBase Management Systems (RDBMS) managed the needs of these systems and eventually evolved into data warehouses, storing and administering Online Analytical Processing (OLAP) for historical data analysis from various companies, such as Teradata, IBM, SAP, and Oracle.