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Course Fee : 200 USD
Google Cloud Learners from Hachion: 84
Google is one of the major landscape providing cloud computing services. Google cloud platform is a suite of cloud computing services that runs on google infrastructure internally through its products like google search and youtube to serve its end user. This cloud platform holds a scope of hosted services for application development, computing, integration, and storage that run on Google hardware. GCP has a set of management tools to provide cloud services including machine learning, computing, data analytics, and data storage. Google cloud training upskills application developers, G-suite admin, data analytics & machine learning experts, and business professionals to work on cloud technology.
Hachion Google Cloud world-class course curated by experienced professionals with the best methods. Our Google Cloud tutorial curriculum is well structured with updated topics. Enhance your practical knowledge with assignments and hands-on live projects included within the course. By the end of the course, you will gain complete knowledge of google cloud technology and able to appear for Google certification exams. Get trained to enhance your cloud skills and elevate your career path to become a certified cloud architect.
For storage and analytics. Remember Big Query provides the same cost-effective option for storage as Cloud Storage
Understand how Big Query Streaming works
Know Big Query limitations esp. with updates and inserts
To clean and prepare data. It can be used for anomaly detection.
Does not need any programming language knowledge and can be done through a graphical interface
Be sure to know or try hands-on on a dataset
To handle existing Hadoop/Spark jobs
You need to know how to improve the performance of the Hadoop cluster as well :). Know how to configure the Hadoop cluster to use all the cores (hint- spark executor cores) and handle out of memory errors (hint – executor memory)
How to install other components (hint – initialization actions)
Cloud Data lab
Is an interactive tool for exploration, transformation, analysis, and visualization of your data on Google Cloud Platform?
Based on Jupiter
Fully managed workflow orchestration service based on Apache Airflow
Pipelines are configured as directed acyclic graphs (DAGs)
Workflow lives on-premises, in multiple clouds, or fully within GCP.
Provides the ability to author, schedule, and monitor your workflows in a unified manner
Google Stack driver provides everything from monitoring, alert, error reporting, metrics, diagnostics, debugging, trace.
Remember audits are mainly checking Stack driver
Data Loss Prevention API to handle sensitive data esp. redaction of PII data.
Understand Encryption techniques
Storage Transfer Service allows the import of large amounts of online data into Google Cloud Storage, quickly and cost-effectively. Online data is the key here as it supports AWS S3, HTTP/HTTPS, and other GCS buckets. If the data is on-premises you need to use gsutil command
Transfer Appliance to transfer large amounts of data quickly and cost-effectively into Google Cloud Platform. Check for the data size and it would be always compared with Google Transfer Service or gsutil commands.
Big Query Data Transfer Service to integrate with third-party services and load data into Big Query
Hachion's AWS online training program covers from basic to advanced concepts of AWS. Our course curriculum is designed by industry experts in the Cloud Computing industry. We provide 100% job assistance with certification guidance.
We provide 100% job assistance to the Hachion students, once they complete the course. We also provide resume writing, mock interviews, and resume marketing services as part of our job assistance program.
By the end of this Google Cloud certification course, you will be able to build a Secure Cloud Native Infrastructure. Businesses gain security, agility, and efficiency when they shift to the cloud. You will gain deep knowledge and skills in:
fundamentals of Google Cloud Managing and provisioning Google Cloud solutions
Implementing the Google Cloud architecture Various GCP products and services
Analyzing data by running queries on GCP
Developing and deploying Google Cloud solutions
Managing GCP services using the app, CLI and console