Data Analytics
Scalability and flexibility
Data is the heart of many companies and having the right tools to work with it can be the deciding factor for a companies success. Google Cloud Platform provides the most powerful and reliable infrastructure for an affordable price at that.
Storing large amounts of data, up to even petabytes, works effortlessly and fast, which is made possible by Google's cutting-edge databases and its own private network that is quick and reliable. On top of that Google Cloud Platform offers extremely capable tools to streamline the data and get insights with powerful analytic tools such as BigQuery. In fact, studies show that companies using Google's BigQuery cut costs by up to 52% compared to on-prem EDWs.
Smart & fast data analytics
Google Cloud Platform not only provides the best infrastructure for big data but also the right tools to make the most out of it.
With build-in machine learning functionality and dedicated machine learning tools you can get valuable insights from your data and use it to its full potential to benefit your business. On top of that you can analyze it live while it is being fed in to get results as quick as possible which can be a crucial factor for business which need to be able to react fast.
Secure data and connection
When it comes to storing sensitive data on the cloud, security is a common concern. However, with Google Cloud your data is most likely safer than on private data servers, that are prone to hacker attacks and technical issues.
With Google Cloud your data is securely stored using multiple encryptions and Google's private network which is highly reliant and secure. Google complies to many international security standards and makes sure that your data is your data and no one else can access it, no matter what. Click here to learn more.
Powerful infrastructure
Having a capable, reliable and secure infrastructure is essential for working with data on the cloud. With Google Cloud Platform you have access to Google's data centers and network which are the perfect foundation for highly scalabel and fast data analytics
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Regions and purpose-build data centers by Google
73
Zones for building systems and apps with high availability
144
Network Edge Locations ensuring a fast connection
100.000+
Miles of privately owned network
Regions
Network
Powerful tools
If you want to work with big data and make the most out of it, not only do you need the right infrastructure but also the right tools for the job. For data analytics that is Google's BigQuery.
" [...] BigQuery can provide a three-year TCO (total cost of ownership) that is 26-34% lower than the other three cloud-based solutions (AWS, Azure & Snowflake)."
- Aviv Kaufmann, Senior Validation Analyst at ESG
A benchmark SQL query - 100 billion rows of data with 3 wildcards
Within 25 seconds BigQuery ...
... reads 1 TB of data and uncompresses it to 4 TB
On-prem would require about 330 100MB/sec dedicated hard-drives to read 1TB of data
... executes 100 billion regular expression with 3 wildcards each
On-prem would require 3,300 cores to uncompress 1TB of data and process 100 billion regular expressions at 1 μsec per
... distributes 1.25TB of data across the network
On-prem would require a 330 Gigabit network to shuffle the 1.25 TB of data
All of this with just a simple query and one click
That is the power of data analytics at Google scale
Powerful Google Cloud services to choose from
BigQuery
Powerful data warehouse for analzying data
The data warehouse BigQuery is one of Google Cloud's most powerful services and can be used to analyze large data sets within seconds with zero operational overhead. It is not only highly scalable but also cost-effective and offers advances features such as real-time analytics as well as machine learning powered analytics.
Dataflow
Serverless, fast, and cost-effective data processing
Dataflow is a fully managed data processing service which can help you streamline data at high speed and helps you focus on your business and developing your service by removing operational overhead from data engineering workloads. Features such as resource auto-scaling also can help you reduce costs and stream data cost-effectively.
DataProc
Fast and easy open source data and analyics
Dataproc makes open source data and analytics processing fast, easy, and more secure in the cloud. With DataProc you can easily spin up an autoscaling cluster in 90 seconds on custom machines and build fully managed Apache Spark, Apache Hadoop, Presto, and other OSS clusters. It is also cost-effective as you only pay for the resources you use, which scale automatically.
Google Award Winning App Developer
We at Cloud Ace have a lot of experience of developing systems and applications on Google Cloud Platform and can help you with any kind development request. In fact our expertise was recognised by Google in 2018 and we won the Google Cloud Application Development Partner of the Year.
With our expertise and experience in helping companies leverage on Google Cloud for data analytics, can offer you professional support with your projects and help you get started.
Case Study
Kyocera
provides an IoT PaaS service for the energy sector which is built on Google Cloud Platform. By running their service on Google Cloud Platform, Kyocera is able to handle an increasingly large amount of data and effectively analyze all of it with BigQuery.
With GCP-provided services, such as Google App Engine or Big Query, you didn’t notice the infrastructure side. For this reason, as applications engineers, we felt that not having to think too much about the infrastructure made GCP very user-friendly.
Big Query boasts unparalleled price-to-performance, therefore it has become an indispensable tool that we use right across the board.
Cloud Ace’s Partner Billing Service was a real help because credit card payments made life difficult for the accounts department’s procedures and that was a stumbling block to using GCP.