Learn where Spark really works well and where you might be able to benefit from it.
- [Instructor] Let's take a look here…at where Spark actually shines.…Specific areas that Spark shines are data integration…or ETL, which stands for extract, transform and load,…and this is the process of moving data…from one location to another…and standardizing it so it's easy to use…by analysts and data scientists.…Machine learning, which is really pushing computing forward…with its ability to find hidden patterns…in vast amounts of data, business intelligence…and analytics, which I would include…data science in as well,…is still the biggest area compared to everything else here,…and thankfully it does it very well.…
Real-time processing is a new area…many businesses are exploring…and some are advancing with things like fraud protection…and real-time user feedback.…And last, our recommendation engines…where you can help users find more value in your product…or service by bringing relevance to their experience.…When it comes to using Spark,…a recent survey done by DataBricks…shows that 74% of respondents…use two or more components…
- Understanding Spark
- Reviewing Spark components
- Where Spark shines
- Understanding data interfaces
- Working with text files
- Loading CSV data into DataFrames
- Using Spark SQL to analyze data
- Running machine learning algorithms using MLib
- Querying streaming data
- Connecting BI tools to Spark
Skill Level Intermediate
Amazon Web Services for Data Sciencewith Lynn Langit3h 56m Intermediate
1. Introducing Apache Spark
2. Analyzing Data in Spark
3. Using Spark SQL to Analyze Data
4. Running Machine Learning Algorithms Using MLlib
5. Real-Time Data Analysis with Spark Streaming
6. Connecting BI Tools to Spark
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