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Implementing a Data Management Strategy: Key Processes, Main Platforms, and Best Practices

Altexsoft

If your business generates tons of data and you’re looking for ways to organize it for storage and further use, you’re at the right place. Read the article to learn what components data management consists of and how to implement a data management strategy in your business. Database administration: maintaining data availability.

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Data Architect: Role Description, Skills, Certifications and When to Hire

Altexsoft

It serves as a foundation for the entire data management strategy and consists of multiple components including data pipelines; , on-premises and cloud storage facilities – data lakes , data warehouses , data hubs ;, data streaming and Big Data analytics solutions ( Hadoop , Spark , Kafka , etc.);

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How to Build Web, Mobile and Chat Apps That Connect to Oracle?

Progress

A robust ecosystem has grown up around it, including the well-loved Toad by Quest software, an excellent IDE that helps the database administrator manage processes, data, and stored procedures. Who Uses Oracle for Database Management? How You Can Use Kinvey to Connect Oracle Databases to Chat Applications.

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Who is ETL Developer: Role Description, Process Breakdown, Responsibilities, and Skills

Altexsoft

Using specific tools and practices, businesses implement these methods to generate valuable insights. One of the most common ways how enterprises leverage data is business intelligence (BI), a set of practices and technologies that allow for transforming raw data into actionable information. Data scientists.

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Business intelligence tools overview: end-to-end BI solutions, ETL tools and libraries, data warehouses, data visualization libraries

Altexsoft

Then to move data to single storage, explore and visualize it, defining interconnections between events and data points. That’s what business intelligence (BI) is about. What is business intelligence and what tools does it need? What is business intelligence and what tools does it need?

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Comparing Database Management Systems: MySQL, PostgreSQL, MSSQL Server, MongoDB, Elasticsearch and others

Altexsoft

Due to the integrated structure and data storage system, SQL databases don’t require much engineering effort to make them well-protected. This is one of the best use cases for MySQL database, as OLAP/OLTP don’t require complex queries and large volumes of data. Lack of reporting and auditing instruments.

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Data Quality Management: Roles, Processes, Tools

Altexsoft

Low-quality data can also impede and slow down the integration of business intelligence and ML-powered predictive analytics. High-quality data can be easily processed and interpreted for various purposes, such as planning, reporting, decision making, or carrying out operating activities. .

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