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The Future of Java: Top Trends and Technologies

Knowledge Hut

For over 2 decades, Java has been the mainstay of app development. Another reason for its popularity is its cross-platform and cross-browser compatibility, making applications written in Java highly portable. These very qualities gave rise to the need for reusability of code, version control, and other tools for Java developers.

Java 97
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Building ETL Pipeline with Snowpark

Cloudyard

Snowflakes Snowpark is a game-changing feature that enables data engineers and analysts to write scalable data transformation workflows directly within Snowflake using Python, Java, or Scala. Imagine a rapidly growing e-commerce company, which processes thousands of transactions daily.

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Top 10 Business Intelligence Skills

Knowledge Hut

Business intelligence (BI) is a profession that provides insightful data to help organizations make informed decisions. Since business intelligence uses information obtained from extensive data sets to provide insightful reports, it is strongly related to the discipline of data visualization.

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Business Intelligence Analyst Job Description and Roles

Knowledge Hut

Business Intelligence Analyst Importance The proliferation of IoT-connected objects, IoT-based sensors, rising internet usage, and sharp increases in social media activity are all enhancing businesses' ability to gather enormous amounts of data. What Does a Business Intelligence Analyst Do?

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The Journey Begins

Team Data Science

This will involve sourcing, ingestion, machine learning, business intelligence, and monitoring. Other nice-to-haves are Kafka, PowerBI and/or Tableau, Agile, and, the Java programming language. My goal for this course is to create a complete end-to-end data pipeline for an application that is time series related.

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Using SQL to democratize streaming data

Cloudera

This data engineering skillset typically consists of Java or Scala programming skills mated with deep DevOps acumen. It’s also worth noting that even those with Java skills will often prefer to work with SQL – if for no other reason than to share the workload with others in their organization that only know SQL. A rare breed.

SQL 112
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5 reasons why Business Intelligence Professionals Should Learn Hadoop

ProjectPro

The toughest challenges in business intelligence today can be addressed by Hadoop through multi-structured data and advanced big data analytics. Thus, several organizations are preparing for hadoop usage to get the most business value by integrating it into their business intelligence products or services.