Remove Cloud Storage Remove Designing Remove Metadata Remove Structured Data
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Accelerate your Data Migration to Snowflake

RandomTrees

Lot of cloud-based data warehouses are available in the market today, out of which let us focus on Snowflake. Snowflake is an analytical data warehouse that is provided as Software-as-a-Service (SaaS). Built on new SQL database engine, it provides a unique architecture designed for the cloud.

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Moving Past ETL and ELT: Understanding the EtLT Approach

Ascend.io

Modern Cloud Data Platforms The native capabilities of the cloud providers have been joined by third-party services to offload that data into separate less costly systems that are optimized for analysis of that data. Source : A stream of sensor data represented as a directed acyclic graph.

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Data Warehouse vs Data Lake vs Data Lakehouse: Definitions, Similarities, and Differences

Monte Carlo

Typically, data warehouses work best with structured data defined by specific schemas that organize your data into neat, well-labeled boxes. This same structure aids in maintaining data quality and simplifies how users interact with and understand the data.

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A Definitive Guide to Using BigQuery Efficiently

Towards Data Science

Summary ∘ Embrace data modeling best practices ∘ Master data operations for cost-effectiveness ∘ Design for efficiency and avoid unnecessary data persistence Disclaimer : BigQuery is a product which is constantly being developed, pricing might change at any time and this article is based on my own experience.

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What is Data Enrichment? Best Practices and Use Cases

Precisely

Determine what data you’ll need Once you’ve determined the use case, brainstorm and dig deeper into what your end goals are and what you need to know to get there. For example, will you need structured data, unstructured, or a combination? Are files delivered as CSV, ASCII, a delimited text file, or another way?

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Data Lake vs Data Warehouse - Working Together in the Cloud

ProjectPro

Data is collected and stored in data warehouses from multiple sources to provide insights into business data. Data warehouses store highly transformed, structured data that is preprocessed and designed to serve a specific purpose. Data from data warehouses is queried using SQL.

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The Good and the Bad of Hadoop Big Data Framework

AltexSoft

No matter the actual size, each cluster accommodates three functional layers — Hadoop distributed file systems for data storage, Hadoop MapReduce for processing, and Hadoop Yarn for resource management. By default, HDFS chops data into pieces of 128M except for the last one. How HDFS master-slave structure works.

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