Latest and Emerging Trends of ETL process
Posted By : Rohitesh Rawat | 31-May-2019
Getting familiar with the latest and the emerging trends of Extract, Transform, and Load process – Big Data and Beyond
With the analysis of driving a large amount of data and it's challenging, there are some concerns that the conventional process of extract, transform and load (ETL) is applicable or not.
ETL tools handle Mobile and Web applications data very efficiently.
In the near future, ETL applications will be a part of large industry standards and will gain power.
Let’s talk about a model called The Data Vault.
The Data Vault offers an approach to easily build sensible and adaptable data models that dynamize one's data warehouse.
There are some challenges that obstruct ETL
Below is the list of top 5 challenges that ETL faces due to
1. Whenever there is a change in the business rules of EDW/BI systems.
2. To design, create, deliver, and sustain large powerful storage EDW/BI systems for intelligent adoption challenges.
3. To tailor the data to meet the needs of the Business and Business Domain value. This includes not failing in giving simple solutions for the definite needs of the business.
4. Challenge in adopting new unpredicted/unplanned sources with or without the impact of upstream process.
There are a few standards that can help build a Data Vault:
Step 1: Determining Business Keys and Hubs.
Step 2: Relationships between Business Keys and Links.
Step 3: Description around the Business Keys and Satellites.
Step 4: Connecting Time dimension attributes and descriptions for decoding in Data Marts.
Step 5: Integrating query optimization and appending performance tables.
Let us now see how Data Vault submerges with the ETL challenge of Big Data.
Data Vault mixes consistent integration of Big Data technologies along with
With the adoption of very large data, it can easily be mixed into a Data Vault data model to incorporate adopting products like Hadoop, MongoDB, and various other NoSQL varieties.
Data Vault also unravels the challenge of complexity through Simplification.
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About Author
Rohitesh Rawat
Rohitesh is an expert in Agile methodologies, specializing in Scrum. He possesses a wide range of skills, including proficiency in Jira, MongoDB, planning, scoping, process creation and management, and QA. Over the years, he has led the successful delivery of several offshore projects, including Konfer, Virgin Media, HP1T, and Transleqo. Rohitesh holds certifications as a Certified Scrum Master (CSM) and Project Management Professional (PMP) and has a comprehensive understanding of the entire Project Life Cycle (PLC).