Ajit Dash

This book gives information about the Data Lake, Lakehouse and Delta Lake, best practices, and precautions for successful implementation. Our general understanding is that the Data
Lake and Lakehouse is a storage place. While that is true, it also the brain of an enterprise; it must be designed as per the business need with proper intelligence in place. In here, a comparison of a Data Lake, Lakehouse, Delta Lake, and Data Warehouse are analyzed thoroughly. How a Lakehouse could be easily… Show more

This book gives information about the Data Lake, Lakehouse and Delta Lake, best practices, and precautions for successful implementation. Our general understanding is that the Data
Lake and Lakehouse is a storage place. While that is true, it also the brain of an enterprise; it must be designed as per the business need with proper intelligence in place. In here, a comparison of a Data Lake, Lakehouse, Delta Lake, and Data Warehouse are analyzed thoroughly. How a Lakehouse could be easily expanded to a Delta Lake is summarized. A step-by-step analysis, design, development, and implementation plans with all the challenges and best practices are described in detail. Show less

This whitepaper discusses the challenges and limitations with the Data
Warehouse(summarized data), Data Lake (a centralized data store) & Data Fabric
(common format data) concerning the data quality, real-time data processing,
common data format. Provides some insight about how centralized data stores
create isolation among source providers, data developers, end-users, etc. Also,
discussed in detail how to overcome the limitations and challenges, by a Data Lake
/ Data… Show more

This whitepaper discusses the challenges and limitations with the Data
Warehouse(summarized data), Data Lake (a centralized data store) & Data Fabric
(common format data) concerning the data quality, real-time data processing,
common data format. Provides some insight about how centralized data stores
create isolation among source providers, data developers, end-users, etc. Also,
discussed in detail how to overcome the limitations and challenges, by a Data Lake
/ Data Warehouse/Data Fabric by using a domain-centric data solution such as a
"Data Mesh " (decentralized data store) which delivers "Data As a Product ".
Further, it provides details about the "Date Mesh" team structure, the role of a
product owner & how to determine your company needs a Data Mesh or not. Show less

Data Grading is a unique way to measure the source data. Grading source data helps measure the data quality. Usually, the source data we consume is either third-party or internal/external operational or non-operational data. 



Data is nothing but information and has value/cost associated with it. Consumption of bad data may create bad results downstream (reports/ predictive model etc.). Directly or indirectly this may impact the business performance. It could result in issues… Show more

Data Grading is a unique way to measure the source data. Grading source data helps measure the data quality. Usually, the source data we consume is either third-party or internal/external operational or non-operational data. 



Data is nothing but information and has value/cost associated with it. Consumption of bad data may create bad results downstream (reports/ predictive model etc.). Directly or indirectly this may impact the business performance. It could result in issues with TTC (Time to customer), TTM (Time to Market), and TTB (Time to Business). Show less

Data Grading is a unique way to measure the source data. Grading source data helps measure the data quality. Usually, the source data we consume is either third-party or internal/external operational or non-operational data.

Data is nothing but information and has value/cost associated with it. Consumption of bad data may create bad results downstream (reports/ predictive model etc.). Directly or indirectly this may impact the business performance. It could result in issues with TTC… Show more

Data Grading is a unique way to measure the source data. Grading source data helps measure the data quality. Usually, the source data we consume is either third-party or internal/external operational or non-operational data.

Data is nothing but information and has value/cost associated with it. Consumption of bad data may create bad results downstream (reports/ predictive model etc.). Directly or indirectly this may impact the business performance. It could result in issues with TTC (Time to customer), TTM (Time to Market), and TTB (Time to Business). Show less

Coronavirus disease COVID-19 is an infectious disease caused by a newly discovered
coronavirus. COVID-19 impacted a lot on the economy mainly the hospitality & travel
industry after the lockdown of the countries border and the restrictions put by each
country to travel outside. After the vaccination initiatives by each country all over the
world, the COVID-19 cases are minimizing. Now countries are opening their economy
and allowing the people to travel outside the countries… Show more

Coronavirus disease COVID-19 is an infectious disease caused by a newly discovered
coronavirus. COVID-19 impacted a lot on the economy mainly the hospitality & travel
industry after the lockdown of the countries border and the restrictions put by each
country to travel outside. After the vaccination initiatives by each country all over the
world, the COVID-19 cases are minimizing. Now countries are opening their economy
and allowing the people to travel outside the countries. Although the vaccination
process is in the progress so far 2.3 billion people being vaccinated all over the world.
G7 and G20 countries are expecting to create a Covid Passport system where each
person who can travel outside the country, they have a record check at the border
control at departure and arrival. Also, these data are share daily so the border control
at arrival and departure countries have the updated vaccination record for an
individual. This white paper is a conceptual blueprint for the Covid-19 passport
systems. Also, all the assumptions are made by the author to match the real-world
requirements. The concepts are mentioned with a Logical and Physical architecture
with an assumption of the few popular software tools. The main goal of the author to
conceptualize the passport system in such a way that it can be modified as required.
Concepts like Lakehouse and Delta Lake etc. being used and the main cloud platform is
AWS. Show less

Today there are countless opportunities to leverage cloud services in an enterprise to gain increased efficiency, competitive advantages, lowered operating costs, and more.

CapEx and OpEx are used as part of revenue analysis for the move to cloud initiative.

CapEx (Capital Expenditure): Owning an asset is commonly considered a capital expenditure. Capital expenditure goes as an entry to the company’s balance sheet. Capital expenditure depreciates over a period of time. Some… Show more

Today there are countless opportunities to leverage cloud services in an enterprise to gain increased efficiency, competitive advantages, lowered operating costs, and more.

CapEx and OpEx are used as part of revenue analysis for the move to cloud initiative.

CapEx (Capital Expenditure): Owning an asset is commonly considered a capital expenditure. Capital expenditure goes as an entry to the company’s balance sheet. Capital expenditure depreciates over a period of time. Some examples are computer hardware, software, buildings, etc

OpEx(Operation Expenses): These are the business expenditure to operate the business for a period of time. These costs go to the income statement rather than a balance sheet. Nowadays due to cheaper data rates, an increase in internet speed, demand for data, and high usage of mobile/handheld devices, most of the companies are trying to reduce the overhead cost and meet that customer demand more reasonably. Show less

Provides information about Bigdata, Busienss Intelliegence

Better Analytics and Less Politics at Work:

This book is a practical approach to the various industry analysis. This book covers domain: Finance, Telecommunication, Banking, Bio technologies, Healthcare, Technology, Pharma etc.

Companies are looking to move the analytics and Big data world or to the improvement of the performance.Integration of Big data and Data warehouse and solution for advanced analytics

Book discussed end to end architecture requirement and… Show more

Better Analytics and Less Politics at Work:

This book is a practical approach to the various industry analysis. This book covers domain: Finance, Telecommunication, Banking, Bio technologies, Healthcare, Technology, Pharma etc.

Companies are looking to move the analytics and Big data world or to the improvement of the performance.Integration of Big data and Data warehouse and solution for advanced analytics

Book discussed end to end architecture requirement and solutions for each domain. Each domain represented in a case format.

This Book is especially recommended for: Analyst, Solution Architecture, Enterprise Architecture, Engineer and Technologist.
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