Google Cloud Data Engineering
Accelerate your business through data engineering on Google Cloud. Fully harness Google Cloud's data engineering tools & services to lower your TCO and become less code-dependent.
Data Engineering on Google Cloud
Thanks to its security, scalability and flexible pricing, Google Cloud is the best choice for designing, building and monitoring data processing systems. Within Google Cloud, there is a mulitude of tools and services that your business can harness to innovate and thrive, including:
Google Cloud BigQuery is a serverless, fully-managed data warehouse used for large scale data reporting.
BigQuery comes with built-in features like machine learning and business intelligence that can be harnessed to influence critical business decisions. In preview at the time of this writing BQ now supports processing unstructured data residing in Google Cloud Storage (GCS) using BigQuery ML.
Google Cloud Dataflow (an OSS community-driven innovation with Apache Beam SDK) is a fast, serverless, fully-managed cost effective streaming analytics service for batch and real time data processing.
Dataflow lets you get more for less - through autoscaling, you can easily and quickly reduce operational overhead and achieve lower TCO.
Looker Studio (formerly Google Data Studio) is a free tool that enables the creation of customizable dashboards and reports from data.
These easy to share/read reports and dashboards can keep all stakeholders involved - regardless of they’re technical credentials.
Dataproc is a fully managed and highly scalable service for running Apache Hadoop, Apache Spark, Apache Flink, Presto, and 30+ open source tools and frameworks.
Through its optional serverless or clusters options, Dataproc is also extremely flexible. Modernize your data lakes, ETL, and analytics of any size, cost effectively, with Dataproc.
Built with an open source core (CDAP) supporting a broad library of 150+ preconfigured connectors and transformations, at no additional cost for pipeline portability, Data Fusion provides a Visual point-and-click interface enabling code-free deployment of ETL/ELT data pipelines.
Data Fusion already holds integrations with top-level Google Cloud services like Cloud Storage, Dataproc, BigQuery and Cloud Spanner - making iteration of development quick and painless.
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Benefits of Google Cloud Data Engineering
lower 3 year TCO compared to cloud warehouse alternatives
preconfigured connectors and transformations at no extra cost
lower TCO compared to per- second pricing with on-prem data lakes.
Dr. A. Ason Okoruwa
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CEO & Founder, Squirrelit
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