With Data Cloud
Pave the Way for Innovation!

While the importance of data gained importance every day, business analytics as well as data management have gained importance. Because if you can't successfully convert into data, even if you have all the data in the world it's not possible to grow your business. Therefore, you need to separate and analyze useful and useless data, and create realizable insights. With a fully managed, multi cloud analytics platform Google Cloud's Business Analytics removes scale, performance, and cost limitations also allows everyone to gain insight. You can use data applications and real-time insights to manage your decisions and pave the way for innovation.

Data Cloud Solutions

Data Warehouse Modernization 
(DWM)

You can obtain more profits by modernizing your data warehouse. You can solve the most challenging demands of nowadays with a modern data warehouse. You can smoothly scale your work with built-in, advanced and multi cloud abilities.

 

Data Lake Modernization 
(DLM)

You can obtain more efficiency by modernizing your data lake. You can reinforce your team to obtain large volume, various and true data to store and analyze securely and for a reasonable cost.

Stream Analytics

You can gain value from your real-time data by using stream analytics. You can obtain, process and analyze event streams in real time to make data more practical and accessible from the moment they are created.

 

Business Intelligence

You can access to better results and data driven experiences by using business intelligence. You can predict any situation you may encounter by unleashing the real power of your data.

Marketing Analytics

You can reinforce your marketing infrastructure by using marketing analytics with realizable insights. By taking a clear and comprehensive picture of the customer journey, you can predict results and create more personalized experiences.

Data Cloud Products

BigQuery

Serverless, highly scalable, and cost-effective multiple cloud data warehouse designed for business agility.

  • Democratize your predictions with secure and scalable platform and built-in machine learning. 
  • Reinforce your business decisions taken in line with a flexible, multi-cloud analytic solution data supplied by cloud environments.
  • Use analytics on larger scale with 3 years total cost of ownership (TCO) lower than cloud data warehouse alternatives by 26-34%.
  • Analyze petabytes of data in ultra-high speed with zero operational additional load.

Looker

A corporate platform for business, data applications and built-in analytic.

  • Integrated end-to-end multiple cloud platform
  • Common data model over all data
  • Embedded data experiences
  • Improved analytics
  • Customized data applications

Dataproc

A high-level scalable service that has been fully managed to run more than 30 open source tools and framework.

  • Open: Create optionally fully-managed open-source clusters integrated with data lake meta warehouse.
  • Flexible: Match operations support system (OSS) and Google's cloud platform (Google Cloud Platform | GCP) specific services with platform-wide integrations.
  • Manageable: Enable scalable, secure, and cost controlled open-source data science.
  • Secure: Configure advanced security.
  • Cost-effective: Save with pricing per second and 57% less ownership cost compared to data lake at server.

Dataflow

Serverless, fast and cost-effective solid flow and bulk data processing.

  • Fully managed data processing service
  • Automatic provision and management of process resources
  • Automatic scaling of workers horizontally to maximize resource utilization
  • Operation support system innovations
  • Reliable, consistent, one-time data processing 

Pub/Sub

Messaging and receiving for event focused systems and stream analytics.

  • Scalable, ordered message delivery
  • Automatic scaling and automatic hosting from zero up to hundreds of GB/second
  • Independent quota and billing for broadcaster and subscribers
  • Global message routing to simplify multi-zone systems

Cloud Data Fusion

Fully managed, cloud native data integration at all scales.

  • Visual "mark and click" interface, providing codeless distribution of data process lines
  • Free, large library comprising more than 150 preconfigured connectors and converters.
  • Local integration to Google Cloud services 
  • End to end data array for root cause and effect analysis
  • Cask Data Application Program

Data Catalog

A fully managed and high-level scalable data exploration and metadata management service.

  • Determine the location of your data with a simple but powerful search interface.
  • Automatically synchronize technical metadata and create schematic tags for business metadata.
  • Automatically tag sensitive data via Cloud Data Loss Prevention (DLP) integration.
  • Access now, scale without infrastructure to setup or manage. 

Cloud Composer

Fully managed workflow editing service.

  • Write, schedule, and monitor pipelines spreading to hybrid and multi-cloud environments.
  • It saves you from locking out and is user friendly.

Dataprep

A smart cloud service to discover, clean, analyze data and prepare for machine learning.

  • Serverless and easy
  • Quick exploration and anomaly detection
  • Easy and strong data preparation
  • Digital transformation based on prediction
  • Rich conversions
  • Transaction volume optimization
  • Active profiling
  • Data quality rules
  • Collaboration
  • Comprehensive connection
  • Data pipeline arrangement
  • Operationalizing at corporate scale
  • Common data types
  • Template matching
  • Standardization
  • Sampling
  • Advanced Security

Dataplex

A smart data structure that saves from silos; provides centralized monitoring and management of corporate data in warehouse, pools and in the market with consistent controls, accesses secure data and supports large scale analytics.

  • Data management at integrated metadata leadership
  • Governance and central security for global control
  • Integrated analytic experience of organizing, securing, and analyzing data in a large scale
  • Built-in data intelligence that uses top of the range artificial intelligence of Google and machine learning
  • An open platform that has open-source tools and strong business partner ecosystem support 

Analytics Hub

A center that efficiently and securely exchanging data analytic assets between institutions to tackle data security and cost difficulties. You can create a library compiled of internal and external assets, including unique data fragments such as Google Trends.

  • Promote innovation through unique data fragments coming from different sources.
  • Exchange data, other analytic assets or machine learning models to increase investment income of data initiatives.
  • Easily publish data fragments shared in open, secure, and reliable environment or subscribe to published data.

BigQuery

Serverless, highly scalable, and cost-effective multiple cloud data warehouse designed for business agility.

  • Democratize your predictions with secure and scalable platform and built-in machine learning. 
  • Reinforce your business decisions taken in line with a flexible, multi-cloud analytic solution data supplied by cloud environments.
  • Use analytics on larger scale with 3 years total cost of ownership (TCO) lower than cloud data warehouse alternatives by 26-34%.
  • Analyze petabytes of data in ultra-high speed with zero operational additional load.

Looker

A corporate platform for business, data applications and built-in analytic.

  • Integrated end-to-end multiple cloud platform
  • Common data model over all data
  • Embedded data experiences
  • Improved analytics
  • Customized data applications

Dataproc

A high-level scalable service that has been fully managed to run more than 30 open source tools and framework.

  • Open: Create optionally fully-managed open-source clusters integrated with data lake meta warehouse.
  • Flexible: Match operations support system (OSS) and Google's cloud platform (Google Cloud Platform | GCP) specific services with platform-wide integrations.
  • Manageable: Enable scalable, secure, and cost controlled open-source data science.
  • Secure: Configure advanced security.
  • Cost-effective: Save with pricing per second and 57% less ownership cost compared to data lake at server.

Dataflow

Serverless, fast and cost-effective solid flow and bulk data processing.

  • Fully managed data processing service
  • Automatic provision and management of process resources
  • Automatic scaling of workers horizontally to maximize resource utilization
  • Operation support system innovations
  • Reliable, consistent, one-time data processing 

Pub/Sub

Messaging and receiving for event focused systems and stream analytics.

  • Scalable, ordered message delivery
  • Automatic scaling and automatic hosting from zero up to hundreds of GB/second
  • Independent quota and billing for broadcaster and subscribers
  • Global message routing to simplify multi-zone systems

Cloud Data Fusion

Fully managed, cloud native data integration at all scales.

  • Visual "mark and click" interface, providing codeless distribution of data process lines
  • Free, large library comprising more than 150 preconfigured connectors and converters.
  • Local integration to Google Cloud services 
  • End to end data array for root cause and effect analysis
  • Cask Data Application Program

Data Catalog

A fully managed and high-level scalable data exploration and metadata management service.

  • Determine the location of your data with a simple but powerful search interface.
  • Automatically synchronize technical metadata and create schematic tags for business metadata.
  • Automatically tag sensitive data via Cloud Data Loss Prevention (DLP) integration.
  • Access now, scale without infrastructure to setup or manage. 

Cloud Composer

Fully managed workflow editing service.

  • Write, schedule, and monitor pipelines spreading to hybrid and multi-cloud environments.
  • It saves you from locking out and is user friendly.

Dataprep

A smart cloud service to discover, clean, analyze data and prepare for machine learning.

  • Serverless and easy
  • Quick exploration and anomaly detection
  • Easy and strong data preparation
  • Digital transformation based on prediction
  • Rich conversions
  • Transaction volume optimization
  • Active profiling
  • Data quality rules
  • Collaboration
  • Comprehensive connection
  • Data pipeline arrangement
  • Operationalizing at corporate scale
  • Common data types
  • Template matching
  • Standardization
  • Sampling
  • Advanced Security

Dataplex

A smart data structure that saves from silos; provides centralized monitoring and management of corporate data in warehouse, pools and in the market with consistent controls, accesses secure data and supports large scale analytics.

  • Data management at integrated metadata leadership
  • Governance and central security for global control
  • Integrated analytic experience of organizing, securing, and analyzing data in a large scale
  • Built-in data intelligence that uses top of the range artificial intelligence of Google and machine learning
  • An open platform that has open-source tools and strong business partner ecosystem support 

Analytics Hub

A center that efficiently and securely exchanging data analytic assets between institutions to tackle data security and cost difficulties. You can create a library compiled of internal and external assets, including unique data fragments such as Google Trends.

  • Promote innovation through unique data fragments coming from different sources.
  • Exchange data, other analytic assets or machine learning models to increase investment income of data initiatives.
  • Easily publish data fragments shared in open, secure, and reliable environment or subscribe to published data.

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Hizmetleri A.Ş.

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info@globalit.com.tr


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