Azure Data Lake Training

Azure Data Lake Training

Introduction to Azure Data Lake Training:

Our Azure Data Lake training will helps for those who wants to expertise in Azure. In this Azure Data Lake we will learn more about Analytics service or Job as a service (Jaas). It supports U-SQL language, which allows users to run custom logic and user-defined functions. U-SQL provides more control and scalability over jobs. For more information register with us or dial our helpline to find best training guides for Azure Data Lake Corporate Training and Azure Data Lake Classroom Training and become a better executive.  At Global Online Training we also provide Azure Data Lake Online Training from our real-time experts. Global Online Trainings is one of the best IT Training delivering Partners, we can gather up profound trainers for all the possible latest technologies at Hyderabad, Bangalore, Pune, Gurgaon and other such IT hubs.

Prerequisites for Azure Data Lake training:

  • Database experience
  • SQL experience
  • Microsoft Azure account

Azure Data Lake Corporate Training Course Outline:

  • Course Name: Azure Data Lake Training
  • Duration of the Course: 40 Hours (It can also be optimized as per required period).
  • Mode of Training: Classroom and Corporate Training
  • Timings: According to one’s Feasibility
  • Materials: Yes, We are providing Materials for Azure Data Lake Corporate Training (We will get the soft copy material)
  • Sessions will be conducted through WEBEX, GOTOMETTING or SKYPE
  • Basic Requirements: Good Internet Speed, Headset.
  • Trainer Experience: 10+Years
  • Course Fee: Please register in our website, so that one of our agents will assist you.

Overview of Azure Data Lake Training:

Azure Data Lake Store (ADLS) is a cloud-based repository for both structured and unstructured data. For example, you could use it to store everything from documents to images to social media streams.

ADLS is designed for big data analytics in a Hadoop environment. It is compatible with Hadoop Distributed File System (HDFS), so you can run your existing Hadoop jobs by simply telling them to use your Azure data lake as the filesystem.

Alternatively, you can use Azure Data Lake Analytics (ADLA) to do your big data processing tasks. It’s a service that automatically provisions resources to run processing jobs. You don’t have to figure out how big to make a cluster or remember to tear down the cluster when a job is finished. ADLA will take care of all of that for you. It is also simpler to use than Hadoop MapReduce, since it includes a language called U-SQL that brings together the benefits of SQL and C#.

What is Azure Data Lake?

Azure Data Lake is a highly scalable, distributed, parallel file system in the cloud that is specifically designed to work with multiple analytics frameworks. 

The data in output datasets (collected from mobile, the web, social platforms, etc.) is sent into the Azure Data Lake Store. It is then provided to external frameworks, like R and Apache Spark

Data Lake works on two main concepts: storage and analytics. 

Storage:

Storage is unlimited, allowing users to save very large files. A variety of data (like unstructured or structured data) can be stored here. 

Analytics:

Through analytics, you can monitor and diagnose real-time data from connected devices, such as vehicles, buildings, or machinery to initiate actions such as generating alerts, responding to events, and optimizing operations.

You can also monitor financials such as:

  • Financial transactions in real-time to detect fraudulent activity
  • The use of a credit card across geographic locations 
  • The number of transactions on a single credit card

Key capabilities of Data Lake Corporate Training:

Some of the key capabilities of Data Lake Storage Gen1 include the following.

Built for Hadoop:

Data Lake Storage Gen1 is an Apache Hadoop file system that’s compatible with Hadoop Distributed File System (HDFS), and works with the Hadoop ecosystem. Your existing HDInsight applications or services that use the WebHDFS API can easily integrate with Data Lake Storage Gen1. Data Lake Storage Gen1 also exposes a WebHDFS-compatible REST interface for applications.

You can easily analyze data stored in Data Lake Storage Gen1 using Hadoop analytic frameworks such as MapReduce or Hive. You can provision Azure HDInsight clusters and configure them to directly access data stored in Data Lake Storage Gen1.

Unlimited storage, petabyte files:

Data Lake Storage Gen1 provides unlimited storage and can store a variety of data for analytics. It doesn’t impose any limits on account sizes, file sizes, or the amount of data that can be stored in a data lake. Individual files can range from kilobyte to petabytes in size. Data is stored durably by making multiple copies. There is no limit on the duration of time for which the data can be stored in the data lake.

Performance-tuned for big data analytics:

Data Lake Storage Gen1 is built for running large-scale analytic systems that require massive throughput to query and analyze large amounts of data. The data lake spreads parts of a file over a number of individual storage servers. This improves the read throughput when reading the file in parallel for performing data analytics.

Enterprise ready: Highly available and secure:

Data Lake Storage Gen1 provides industry-standard availability and reliability. Your data assets are stored durably by making redundant copies to guard against any unexpected failures.

Conclusion to Azure Data Lake Training: 

Global Online Trainings makes you an expert in all the concepts of Azure Data Lake Training and also possible Azure Concepts. Get a fully fledged Azure Data Lake Corporate Course training for a better view and understanding. At Global Online Trainings, it is a matter of pride for us to make job oriented hands on courses available to anyone, anytime and anywhere. Therefore we ensure that you can enroll in the course 24 hours a day, seven days a week, 365 days a year. Learn at a time and place, and pace that is of your choice. If you have any doubts regarding the Azure Data Lake Online Training or job support, always feel free to contact us or you can also register with us so that one of our coordinators will contact you as soon as possible. Our team is available round the clock. We provide Azure Data Lake corporate training also Classroom Training at Hyderabad, Bangalore, Chennai, Noida, Delhi, Mumbai, Kolkata and other possible places and cities.

 

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