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Why Collaborate with Cuelebre Challenges/Hidden Anomalies Problems like: Repeating data quality concerns from stakeholders which were affectingthe business. Domain Handling Walkthrough Optimized Solutions/Results/Client Satisfaction Data Quality metrics for each pipeline is brought into visualization which gave clear visibility to DevOps & stakeholders about the pipeline and the quality of data being loaded.

Why collaborate with Cuelebre Challenges/Hidden Anomalies Client manufacturing the IOT related devices and they are conducting Events for customer stratifications. They capturing the huge volume of Events data from the devices to drive actionable insights across all the products. Problems like: Domain Handling Walkthrough Optimized Solutions/Results/Client Satisfaction

Why Collaborate with Cuelebre Challenges/Hidden Anomalies There are lot of challenges the team was facing while setting up the Cloudera data platform and building the data lake pipelines to secure more than 40+ sources from internal and external government agency to predict JOB market. Problems like: Domain Handling Walkthrough Optimized Solutions/Results/Client Satisfaction

Technical debt is not a mere topic for the CIO or head of IT. Its business impact makes it a broader strategic issue and as such a topic for the board. It Is Not Just About Coding  Legacy and New Software: A Technical Debt Recipe  Many organizations intend to increase their competitiveness by continuously adding

We share much of our lives with Google, Facebook, Twitter, Netflix, and Amazon in recent times. However, there is one element they all share: data science. Using data science, they can collect and analyze information about their users to provide them with a more personalized experience and remain at the top of their respective fields.

Scaling up your business with Data Lake In the modern era, organizations are running on data. Quality and relevant data are keys to success in all domains. Every organization is leveraging data, Analytics along with AI in order to drive their decisions based on facts. With the exponential growth of data, it is challenging to

Business intelligence can help to create new business opportunities, simplify business decisions, and avoid digital disruption. In this article, we’ll go through the five most important tips for developing a successful business intelligence strategy.  An effective business intelligence strategy begins with an overview of your business, from both a business and technical perspective. For your

Business intelligence (BI) is the act of using technology to analyze data and deliver it to end-users in a way that allows them to make educated decisions. A BI tool provides a prediction picture by combining historical and present data. Data connection, data mining, data transformation, data modeling through constructing relationships, sophisticated calculations, report building,

What is Power BI? Microsoft’s Power BI is a business intelligence service package that is hosted in the cloud. To convert raw data into useful information, it employs simple visualizations and tables. Data is simple to examine and put to use in making important business choices. Power BI is a combination of software services, applications,

WHAT IS DBT TOOL? Before we load our data into the data warehouse or data lake, we have to do some transformations like cleaning the data, keeping up the consistency of the data, etc…, Basically the “T” in ETL/ELT (extract, load, transform) process. This helps the analytics team to provide perfect numbers to the stakeholders.