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An Overview of Real Time Data Warehousing on Cloudera

Cloudera

Users today are asking ever more from their data warehouse. As an example of this, in this post we look at Real Time Data Warehousing (RTDW), which is a category of use cases customers are building on Cloudera and which is becoming more and more common amongst our customers. What is Real Time Data Warehousing?

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Analytics Career Advice: Job Titles, Salaries, Technical & Business Roles

Occam's Razor

Your deep understanding of statistics etc is not required. Group Manager, Web Operations Reporting. And still rare but sometimes: Manager, Web Analytics Data Warehouse (Steven I did not forget you!). Understanding ecosystem. Business strategy. Trinity type execution of measurement. 3| Technical Team Leader.

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Top 12 Most Challenging Operational Reports

Jet Global

As leaders reevaluate the agility and resilience of their organizations, they need accurate, timely operational reports that provide real insight into the inner workings of their businesses. The task of creating those reports falls onto the shoulders of finance teams that are sometimes already struggling to manage a heavy workload.

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What is a Data Pipeline?

Jet Global

The key components of a data pipeline are typically: Data Sources : The origin of the data, such as a relational database , data warehouse, data lake , file, API, or other data store. This can include tasks such as data ingestion, cleansing, filtering, aggregation, or standardization.

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What Is Embedded Analytics?

Jet Global

Some cloud applications can even provide new benchmarks based on customer data. Advanced Analytics Some apps provide a unique value proposition through the development of advanced (and often proprietary) statistical models. These sit on top of data warehouses that are strictly governed by IT departments.

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The 4 Common Challenges of Predictive Analytics Solutions

Jet Global

4 Common Predictive Analytics Challenges and Possible Solutions Expertise Expertise is a challenge because predictive analytics solutions are typically designed for data scientists who have deep understanding of statistical modeling, R, and Python. Most importantly, they don’t require expertise in statistical modeling, Python, or R.

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What is The Difference Between BI and Analytics?

Jet Global

Both of these are predictive statistical tools. The Definitive Guide to Predictive Analytics Download Now Statistical Nesting Dolls So we know it’s not safe to assume that business intelligence and business analytics refer to different analytic modes.