DataLake Corporate Training Course

Edstellar’s Data Lake Training Program upskills professionals to design and implement a centralized data repository for storing, managing and analyzing large and diverse data sets. The training assists the workforce in effectively organizing and governing data, improving data accessibility and analytics capabilities.

24 - 32 hrs
Instructor-led (On-site/Virtual)
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DataLake Training

Drive Team Excellence with DataLake Corporate Training

On-site or Online DataLake Training - Get the best DataLake training from top-rated instructors to upskill your teams.

Many organizations need guidance managing and making sense of the large amounts of data generated or collected from various sources. Unfortunately, this often results in data silos that are difficult to integrate, analyze, and utilize for insights and decision-making.

Data Lake is a centralized repository that allows an organization to store all its structured and unstructured data at any scale. Data Lake Training Program by Edstellar provides professionals with the necessary skills and knowledge to effectively store, manage, and analyze data using a data lake. The training covers data ingestion, storage and management, processing, and visualization.

How does the Data Lake Training Program benefit organizations?

  • Learn how to efficiently manage their data by understanding how to ingest, organize, and process data. This training enables businesses to store large volumes of data and effectively analyze data from different sources.
  • Guides organizations to use cloud-based solutions to store data, reducing costs associated with on-premises hardware, storage, and maintenance.
  • Upskill organizations to store and access data in a centralized location. This training ensures data is accessible to all relevant parties, increasing collaboration and enabling businesses to make more informed decisions.
  • Learn to manage data security by understanding how to configure security policies, monitor data access, and use encryption techniques to protect data. This training leads to preventing unauthorized access and keeps sensitive data secure.

The training includes hands-on experience with popular data lakes technologies such as Apache Hadoop and Apache Spark. Leverage the power to gain valuable insights from data and make data-driven decisions with the training program.

Request a demo to learn more about the training while empowering them with huge data management.

DataLake Training for Employees: Key Learning Outcomes

Develop essential skills from industry-recognized DataLake training providers. The course includes the following key learning outcomes:

  • Learn how to integrate data from various sources and manage transformations to support analytical use cases
  • Learn how to design and implement a data ingestion strategy to store high-quality and consistent data in the data lake
  • Understand the fundamentals of data lake architecture and its benefits in managing large volumes of structured and unstructured data
  • Develop an understanding of best practices in data governance, security, and privacy and how to apply them in a data lake environment
  • Understand the role of metadata in managing and cataloging data in a data lake and how to enhance it to enable efficient data discovery, and exploration
  • Gain practical experience configuring and managing data storage and processing components of a data lake using industry-standard tools and technologies

Key Benefits of the Training

  • Get this training in the language you prefer
  • Shortlist and select the best data lake Trainer(s)
  • Internationally qualified and verified data lake Trainers
  • Track multiple training projects on the Edstellar platform
  • An instructor-led platform for in-person or virtual training across the globe
  • Dedicated Training Management Solution to plan annual training programs
  • End to end Training design, plan, operations, and execution with dedicated project coordinators from Edstellar

DataLake Training Topics and Outline

This DataLake Training curriculum is meticulously designed by industry experts according to the current industry requirements and standards. The program provides an interactive learning experience that focuses on the dynamic demands of the field, ensuring relevance and applicability.

The module overviews data lake, its benefits, and how it differs from traditional data management systems. The key components of the architecture and their roles in storing, processing, and managing data are also discussed.

The chief topics this module covers are data ingestion into a data lake, including extracting data from various sources, transforming it into a usable format, and loading it. The module also covers best practices for ensuring data quality and consistency.

The key Data Storage and Processing technologies used in a data lake, including Hadoop Distributed File System (HDFS), Apache Spark, and cloud storage options like Amazon S3, are discussed in this module. Teams also learn to configure and manage the components for optimal performance and scalability.

The Module introduces the importance of Data Governance and Security in data lake environments. Workforce Learn to define policies and procedures for managing data access, privacy, and compliance.

Some important topics of this module include integrating data from various sources into a data lake and transforming it into a usable format. In addition, data integration methods, including batch and real-time, and how to enhance tools like Apache NiFi and Apache Kafka for data integration are also covered.

This module covers the role of metadata in managing data in a data lake environment. Teams learn to define metadata standards, create schemas, and use metadata for efficient data discovery and exploration.

How to build data pipelines and analytics workflows using tools like Apache Spark and AWS EMR are covered in this section. Professionals also learn to use these tools to analyze and visualize data, enabling faster time-to-insight for business users.

This module delves deep into the differences between a Data lake and a Data warehouse in terms of data, schema, price/performance, data quality, users, and analytics.

The challenges associated with the data lake are discussed in this module. It also discusses how data, without a defined mechanism, results in a data swamp.

This Corporate Training for DataLake is ideal for:

What Sets Us Apart?

DataLake Corporate Training Prices

Elevate your team's DataLake skills with our DataLake corporate training course. Choose from transparent pricing options tailored to your needs. Whether you have a training requirement for a small group or for large groups, our training solutions have you covered.

Request for a quote to know about our DataLake corporate training cost and plan the training initiative for your teams. Our cost-effective DataLake training pricing ensures you receive the highest value on your investment.

Request for a Quote

Our customized corporate training packages offer various benefits. Maximize your organization's training budget and save big on your DataLake training by choosing one of our training packages. This option is best suited for organizations with multiple training requirements. Our training packages are a cost-effective way to scale up your workforce skill transformation efforts..

Starter Package

125 licenses

64 hours of training (includes VILT/In-person On-site)

Tailored for SMBs

Most Popular
Growth Package

350 licenses

160 hours of training (includes VILT/In-person On-site)

Ideal for growing SMBs

Enterprise Package

900 licenses

400 hours of training (includes VILT/In-person On-site)

Designed for large corporations

Custom Package

Unlimited licenses

Unlimited duration

Designed for large corporations

View Corporate Training Packages

This Corporate Training for DataLake is ideal for:

The Data Lake Training Program is tailored for data engineers, data scientists, business analysts, data architects, and IT professionals.

Prerequisites for DataLake Training

An experience in data management, programming, cloud computing, and analytical skills is needed to start with the training.

Assess the Training Effectiveness

Bringing you the Best DataLake Trainers in the Industry

The instructor-led DataLake Training training is conducted by certified trainers with extensive expertise in the field. Participants will benefit from the instructor's vast knowledge, gaining valuable insights and practical skills essential for success in DataLake practices.

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