Datameer Training

About Datameer Training :

• Datameer is a big data analytics platform that uses agile data preparation and analytics to turn complex data into meaningful insights. Organizations like yours can use Datameer to produce insights in hours rather than months and operationalize them right away, enhancing their business agility and responsiveness.” Datameer is a Big Data data visualization platform that allows you to extract relevant information from your complex data. This is not a Hadoop platform, but rather a visualization and analytics platform like any other.

• Datameer is one of the world's fastest-growing data analytics systems. Datameer is used by many large corporations to analyze data and gain insight from it. If you are familiar with other visualization tools such as Tableau, QlikView, and others, Datameer will be a breeze for you.

• Scaling of data pipelines is possible because to the platform's no-code interface for complicated transformations and data analytics. Datameer's cloud platform now includes Datameer Spectrum. It combines the governance, support, and security features of an enterprise ETL platform with the capabilities needed to extract, transform, and load data to cloud data platforms. According to the Datameer statement, the cloud data warehouse market is expected to rise to $35 billion by 2025, with increased demand for data engineers and cloud data integration solutions.

• Spectrum was created by Datameer Online Course in response to market demand for managing complex data pipelines in companies with rigorous security, regulatory compliance, and governance requirements, according to the company. Spectrum is an ETL system that allows analytics teams to extract data from on-premises or cloud sources without having to write code. The program features a multiperson user interface with visual, spreadsheet, and SQL interfaces, as well as over 280 functions and 200 links to data sources located anywhere.

• Datameer Spectrum has audit trails and governance elements in addition to its business terminology and data dictionary. Customers' data is kept safe in the cloud thanks to security technologies that detect potential security risks and protect personally identifiable information. A secure hash, MD5, and randomization algorithms make it easier to mask sensitive data during data ingestion.

Roles and Responsibilities :

• Provide Datameer users with a fantastic self-serve experience.
• Create online content to help you achieve your aim, such as:
• Documentation for the product
• Courses available via the internet
• Video tutorials
• Tutorials with a guide
• Create a system for tracking end-user behavior and user patterns.
• Provide product team with user experience recommendations and end-user feedback.

Required Skills

Statistics for Data Science Fundamentals :

• Programming skills
• Manipulation and Analysis of Data
• Visualization of Data
• Artificial Intelligence(AI)
• Learning from the Ground Up
• Data abounds.
• Software Development
• Implementation of the Model
• Communication Capabilities
• Storytelling Techniques
• Structured Thought
• Curiosity

Tools For Datameer :

1. Alteryx Analytics is a single solution that combines data preparation, blending, and analysis capabilities. It employs a repeatable workflow, produces deployable analytics, and then shares the resulting analytics to provide deeper data insights in a matter of hours.

2. Microsoft Power BI is a corporate analytics application that allows you to analyse, visualise, and share data. It uses sophisticated real-time user dashboards for every device to offer efficient business monitoring for quick and informed corporate decision making.

3. Tableau Prep is a well-known data preparation programme that assists you in shaping, combining, and refining your data in preparation for final analysis. It simplifies and intuitively organises your info.

4. IBM SPSS Statistics is a thorough and well-integrated IBM SPSS application for data preparation. It uses modern approaches to expedite the data preparation stage, resulting in faster and more accurate data analysis and outputs.

5. Trifacta is essentially data wrangling software that is aimed to improve the productivity of the data analysis processor to undertake analytics projects using new data sources.

6. Qlik is a business intelligence solution that offers a comprehensive set of sophisticated analyses for BI purposes. Qlik Sense is the company's most advanced and powerful multi-cloud solution for modern business intelligence.

7. DataWatch allows you to work more efficiently with larger data sets by combining data collection, analysis, and visualization for more precise predictions.

8. Quest is a cloud-based predictive business data continuity solution that was created to suit the demands of the Cloud era.

9. Datameer is a SaaS-based big data analytics platform that is especially suited for departmental installations.

10. Microstrategy is a powerful data exploration and analytics tool for the desktop that lets you explore and analyze data. It distinguishes itself from other similar solutions on the market by providing complete analytics features.

11. TIBCO Software is a data wrangling tool that lets you connect, clean, combine, and wrangle data from a variety of sources, including your big data storage.

Frameworks :

In Datameer's most recent product release (v 5.0), a new feature dubbed "Smart Execution" was introduced, which dynamically determines the processing framework for the underlying data. There are so many new technologies in the Hadoop market right now that choosing the correct execution engine for a job might be difficult. This takes care of everything for you.

Smart Execution lets you to choose between three execution frameworks: in-memory, Tez, or efficient MapReduce, with plans to include Spark, Flink, and more technologies as they mature. It does cost-based optimization using a combination of parameters like data set size, analytics complexity, and Hadoop environment capacity, and then chooses the most appropriate framework for each phase

Integration Module :

Data inclusion The following three basic operations include data integration, generally known as ETL: Data extract from selected data sources is exported. Transform To match the destination, modify the source data (if needed) through rules, merges, lookup tables, or other conversion methods. Load Importing the data that has been changed into a target database.

ELT is a more modern word that emphasizes that the transformation process does not always have to be done before loading, especially in systems like Snowflake that support transformation during or after loading. Furthermore, the scope of data integration has broadened to incorporate a broader range of tasks, such as

• Data preparation
• Data mobility, migration, and management.
• Automation of data warehouses.

Certifications :

To land your desired job, you'll need to get certified. It demonstrates that you've learned all of the necessary abilities to manage vital duties in the real world with little or no help from your subordinates. Organizations want to hire applicants who have certificates and are willing to pay top dollar. Learners benefit from training that assists them in obtaining relevant certificates. In addition, for each course we offer, we issue a course completion certificate.

This certification establishes your ability to manage real-time work while also distinguishing you from the competition. Certification is well-recognized by all major multinational corporations and can help you land a job quickly.

Benefits :

• Benefits of Datameer Companies recognize the potential of big data analysis, but the true subject matter experts, the business users, are unable to integrate, analyze, and display their own data without enlisting IT or a data scientist, which is costly and time-consuming.
• Hadoop is inherently difficult to use due to its technical complexity and lack of an end-user interface. Today's corporate environment necessitates quick data-driven judgments.
• You're dragging down the process unless you allow subject matter experts to work directly with their data, and competitors who do will gain valuable ground.
• Datameer is a self-service, end-to-end big data analytics platform that runs natively on Hadoop for corporate customers.
• This method cuts both the cost and the time it takes to gain insight in half.
• Users may use wizard-led data integration, iterative point-and-click analytics, and drag-and-drop visualizations to access, integrate, analyze, and visualize large amounts of both structured and unstructured data.
• Analysts interact directly with their data in a familiar spreadsheet interface, and a visual profile of the data is presented at every step of the process, allowing them to see the results of each transformation immediately.
• Datameer is designed to run anywhere and whenever you want it to.
• From cloud-based Professional and Workgroup editions to on-premise
• Enterprise editions, all the way down to a single license on your laptop, there's something for everyone.
• You can start with one and stick with it, or you can switch to a different edition if your requirements change.
• Datameer is adaptable and dynamic.
• This technology provides excellent job opportunities all over the world. Certified Professionals' salaries are very high, and a growing number of people have begun to study this course.
• It offers several opportunities for learning.
• You Can Complete All Complex Tasks With Ease Thanks to a Streamlined Work Process.
• With the Datameer Training Certification Course, you can accelerate your career growth.

Payscale :

• Senior Product Manager - 139K

• Technical Support Engineer - 113K

• Data Visualization Engineer - 125K

• Customer Success Analyst - 121K

• Senior Product Manager - 121K

• Growth Manager - 121k

• Senior Project Manager - 121K

• Senior Technical Account Manager - 121K

• Customer Success Analyst - 116K

• Data Visualization Engineer - 125K

• Software Engineer - 115K

• Chief Executive Officer - 200K

• Technical Account Manager - 964K

• Product Marketing Specialist - 690K