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Data Lake Concept and Solutions on GCP using Cloud Storage | GCP Cloud Storage.

October 7, 2020aliaa.amr Cloud Storage, Data Engineering, Data Lake, Google Cloud Platform

Introduction to Data Lakes Let’s start with a discussion about what data lakes are, and then where they fit in as a critical component to your overall data engineering ecosystem. So what is a data lake? Well, it’s a fairly broad term, but it generally describes a place where you can securely store various types […]

NoSQL Databases in GCP

NoSQL Database Services | Cloud Datastore, Cloud Firestore, and Cloud Bigtable

September 28, 2020aliaa.amr Bigtable, Data Engineering, Databases, Datastore, Firestore, Google Cloud Platform, NoSQL

Introduction The relational database (RDBMS) model completely dominated database technology for over 20 years. Today this “one size fits all” stability has been disrupted by a relatively recent explosion of new database technologies. These paradigm-busting technologies are powering the “Big Data” and “NoSQL” revolutions, as well as forcing fundamental changes in databases across the board. […]

Bigquery

Building a data warehouse solution using BigQuery | GCP BigQuery

September 20, 2020aliaa.amr Big Query, Data Engineering, Data Warehouse, Google Cloud Platform

An enterprise data warehouse brings the data together and makes it available for querying and data processing, it should consolidate data from many sources. All data in a data warehouse should be available for querying and it’s important to ensure that those queries are quick. Another reason to consolidate all of your data besides standardizing […]

Building a data pipeline using Dataflow | GCP Dataflow

September 11, 2020aliaa.amr Cloud Computing, Data pipeline, Dataflow, ETL, Google Cloud Platform, Streaming

Data uncover deep insights, support informed decisions, and enhances efficient processes. But when data coming from various sources, in varying formats, and stored across different infrastructures, so here are data pipelines are coming as the first step to centralizing data for reliable business intelligence, operational insights, and analytics. By contrast, the data pipeline is a […]

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