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Data Warehousing Guide: Fundamentals & Key Concepts

Monte Carlo

Since the inception of the cloud, there has been a massive push to store any and all data. On the surface, the promise of scaling storage and processing is readily available for databases hosted on AWS RDS, GCP cloud SQL and Azure to handle these new workloads. Cloud data warehouses solve these problems.

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Comparing ClickHouse vs Rockset for Event and CDC Streams

Rockset

Separation of Compute and Storage Design for the cloud is another area where Rockset and ClickHouse diverge. ClickHouse is offered as software, which can be self-managed on-premises or on cloud infrastructure. Several vendors also offer cloud versions of ClickHouse.

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ELT Explained: What You Need to Know

Ascend.io

The emergence of cloud data warehouses, offering scalable and cost-effective data storage and processing capabilities, initiated a pivotal shift in data management methodologies. Extract The initial stage of the ELT process is the extraction of data from various source systems. So, what exactly is ELT?

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Data Lake vs. Data Warehouse: Differences and Similarities

U-Next

Structuring data refers to converting unstructured data into tables and defining data types and relationships based on a schema. Data lakes, however, are sometimes used as cheap storage with the expectation that they are used for analytics. Gen 2 Azure Data Lake Storage . Cloud storage provided by Google

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Most important Data Engineering Concepts and Tools for Data Scientists

DareData

AWS Glue: A fully managed data orchestrator service offered by Amazon Web Services (AWS). Talend Data Fabric: A comprehensive data management platform that includes a range of tools for data integration, data quality, and data governance.

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The Modern Data Stack: What It Is, How It Works, Use Cases, and Ways to Implement

AltexSoft

As the volume and complexity of data continue to grow, organizations seek faster, more efficient, and cost-effective ways to manage and analyze data. In recent years, cloud-based data warehouses have revolutionized data processing with their advanced massively parallel processing (MPP) capabilities and SQL support.

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Data Marts: What They Are and Why Businesses Need Them

AltexSoft

A data warehouse (DW) is a data repository that allows for storing and managing all the historical enterprise data, coming from disparate internal and external sources like CRMs, ERPs, flat files, etc. Initially, DWs dealt with structured data presented in tabular forms. The “cloud-y” future of data marts.