Azure Data Lake Certification

Azure Data Lake is a highly scalable cloud data warehousing service that enables you to store massive amounts of unstructured data (including structured).

It provides an interactive query experience and supports SQL queries for data exploration and analysis using standard tools like Hive, Jupyter Notebook, SSIS, Spark/Flink, Presto, etc.

Azure Data Lake provides a unified data and computes experience that enables you to store, process, and analyze all your data.

It supports multiple workloads including streaming, batch processing, and interactive queries. Azure Data Lake integrates with other Azure services like HDInsight, Machine Learning Studio, etc., which allows you to easily build end-to-end analytics pipelines in the cloud

Types of Azure Data Lake Service

Azure Data Lake

Data Lake Store: This allows you to store and process petabyte-scale data. It is a managed service that can be accessed from any client with an ODBC driver or REST API.

Data Lake Analytics: This provides an interactive query experience and supports SQL queries for data exploration and analysis using standard tools like Hive, Jupyter Notebook, SSIS, Spark/Flink, Presto, etc.

Data Lake Tools: This toolkit provides you with a unified data and compute experience that enables you to store, process, and analyze all your data

Azure Hd Insight: This is a serverless machine learning service that lets you build and deploy predictive models without writing any code. It’s designed to be easy to use, scalable, and cost-effective.

Benefits of Azure Data Lake

 

Storage: Data Lake Storage is a highly scalable, cloud-native storage service that makes it easy to store and access your unstructured data in its native format.

Self-service data management: With Azure Data Lake, you have the benefit of self-service data management. You can easily create multiple data lakes and configure them with appropriate permissions.

Security: Azure Data Lake provides you with tools to secure your data lake, including encryption at rest and in motion.

Flexibility: You have the flexibility to store and analyze any type of data in its native format using Azure Data Lake. This allows you to perform offline analytics, like machine learning, without having to transform your data.

Scalability: Azure Data Lake is designed to scale up or down as needed, so you can easily add new nodes when there’s more demand or remove them when they are no longer needed.

Data analytics: With Azure Data Lake, you can perform data analytics using tools like Apache Hive, Apache Spark, and R. You can also use pre-built Big Data services like HDInsight to build data lakes on Hadoop.

Ease of use: Azure Data Lake makes it easy for anyone with a basic understanding of SQL Server to access unstructured data in its native format.

Hybrid cloud integration: You can use Azure Data Lake to store data on-premises and in the cloud. This allows you to process data where it’s stored, which reduces latency and provides security benefits.

Cloud App Security: Cloud App Security (CAS) is a cloud-based service that provides visibility and control over your SaaS applications. It allows you to monitor and audit user activities in SaaS apps, including Office 365, Salesforce1, Google G Suite, and many others.

Working of Azure Data Lake

Now let us see how Azure Data Lake works. Azure Data Lake is a fully managed cloud storage service that provides you with access to big data processing frameworks and services such as Apache Spark, Apache Kafka, and Hadoop.

  • You upload your data to Azure Data Lake Store (ADLS) using a service like Azure Data Factory or Copy/Sift.
  • You can also use tools such as Apache Spark and Hadoop, which are available from the Azure Marketplace.
  • The data is then processed by these frameworks via Apache Hive, Spark SQL, and other tool sets that are offered by the marketplace in their containers.
  • It’s then ready for consumption by your applications and services via Azure Data Lake Analytics (ADLA) or Azure Data Lake Store (ADLS).

Who can use Azure Data Lake?

Azure Data Lake is for anyone who wants to do big data analytics. It has all kinds of customers, from large enterprises with internal data lakes to small companies that have never done any kind of data analytics before. Azure Data Lake is also good for people who want to get started with big data and don’t know where to begin.

Some of the industries Azure Data Lake is used in include:

Media and entertainment : Media and entertainment companies use Azure Data Lake to analyze their content, including movies, music, news stories, and social media posts. They can look at the trends in user behavior over time to determine what types of content people like best and how they respond to different types of messaging.

Insurance: Insurance companies need data lakes because they have lots of different products that they want to sell with different price points depending on the client’s needs. They also deal with a lot of customer data from claims reports that needs analysis.

Finance and Banking : Finance and banking companies use data lakes to look at user behavior to determine what types of products people like best. They also use it to analyze social media data, which can provide insight into consumer trends and opinions on products.

E-commerce and retail (especially fashion) : Online shops and fashion retailers use data lakes to make recommendations based on people’s shopping habits.

ADLS and Big Data Processing

By using ADLS and Big Data Processing companies can quickly get insights from their data lakes. They can use this information to make better business decisions and provide a better user experience.

ADLS helps companies store, process and deliver their data in real-time from anywhere without any transformation. It also allows them to analyze their data in any format without the need for programming skills.

Azure Data Lake Storage-Gen 2

ADLS Gen-2 is the next generation of storage. It offers a single data lake with unlimited capacity and 7x faster performance than the previous version.

Azure Data Lake Storage-Gen 2 also allows users to store any type of data, including structured, semi-structured, and unstructured data, in one place. It comes with built-in security features and an audit trail that provides access control management.

It Includes most of the features :

-Unlimited capacity

-Faster performance – 7x faster than the previous version

-Single data lake with built-in security features and an audit trail that provides access control management.

-Azure Hdinsight: HDInsight is an enterprise-grade application that provides a single view of all your data lakes, data warehouses, and most importantly the cloud. It gives you the ability to understand your entire data landscape with one intuitive interface.

Azure Data Lake Store Security

Azure Data Lake Store Security is a built-in feature that provides easy-to-use encryption, decryption, and auditing capabilities for your data lake.

It helps you protect your data at rest, in motion, and use. With Azure Data Lake Store Security, you can easily control who has access to your data by providing fine-grained authorization for users and groups.

Encryption: Encrypt all data at rest in the cloud -Audit every user’s activity on your Azure Data Lake Store account

Auditing: Auditing is a built-in feature that provides easy-to-use encryption, decryption, and auditing capabilities for your data lake.

Features of Azure Data Lake

Flexible Storage Options: This provides you with the flexibility to choose from different storage options based on your needs. It also supports a wide range of file formats including CSV, JSON, Avro, Parquet, etc.

Unified Data and Compute Experience: This toolkit provides you with a unified data and compute experience that enables you to store, process, and analyze all your data. It also helps in performing real-time analytics on streaming data.

Advanced Analytics: This toolkit provides you with advanced analytics capabilities, including machine learning, stream processing, and data visualization.

Easy and Scalable: Azure Data Lake provides you with an easy, scalable, and cost-effective solution to store your data. It also helps in performing real-time analytics on streaming data.

Integrated Security: The data lake toolkit is integrated with open-source security tools like Apache Ranger and Apache Sentry, which help in controlling access to sensitive data.

Easy Integration with Other Azure Services: You can easily integrate this toolkit with other Azure services such as HDInsight, Machine Learning Studio, Power BI, etc.

Easy to Monitor and Manage: You can easily monitor and manage the performance of your data lake with the Azure Data Lake Analytics portal, which is a web-based monitoring tool.

Azure Data Lake Certification

Azure Data Lake Certification​

Microsoft Data Lake certification is an ideal certification for those who are interested in working with Azure. It helps you gain knowledge on how to use the toolkit and manage data lakes effectively.

There are various certifications available in this category

Azure Data Lake Administrator: This certification helps you learn how to use the toolkit effectively and manage data lakes efficiently. It includes topics like administration of HDFS, Azure Analysis Services, R Server, etc using the toolkit.

Azure Data Lake Analytics: The Azure Data Lake Analytics certification provides a comprehensive overview of this platform’s capabilities. It focuses on how you can use the different tools that ship with Azure Data Lake Analytics to implement real-world solutions based on tasks such as data ingestion, ETL, Machine Learning, and Distributed Analysis Patterns.

Azure Solutions Architect Expert: The Azure Solutions Architect Expert certification is ideal for IT professionals who are interested in building solutions based on Microsoft’s cloud platform. It provides an overview of the different components involved in implementing these solutions, including data management, security, and infrastructure services such as Azure SQL Database and Azure App Service.

Azure Security Engineer Associate: The Azure Security Engineer Associate certification is designed for IT professionals who are interested in learning about Azure security services and how to implement them. It covers topics such as identity management, threat detection, network security, and compliance.

The exam will test your knowledge of the following concepts: