It takes the average reader 3 hours and 50 minutes to read Optimizing Databricks Workloads by Anirudh Kala
Assuming a reading speed of 250 words per minute. Learn more
Accelerate computations and make the most of your data effectively and efficiently on Databricks Key FeaturesUnderstand Spark optimizations for big data workloads and maximizing performanceBuild efficient big data engineering pipelines with Databricks and Delta LakeEfficiently manage Spark clusters for big data processingBook Description Databricks is an industry-leading, cloud-based platform for data analytics, data science, and data engineering supporting thousands of organizations across the world in their data journey. It is a fast, easy, and collaborative Apache Spark-based big data...
Optimizing Databricks Workloads by Anirudh Kala is 230 pages long, and a total of 57,500 words.
This makes it 78% the length of the average book. It also has 70% more words than the average book.
The average oral reading speed is 183 words per minute. This means it takes 5 hours and 14 minutes to read Optimizing Databricks Workloads aloud.
Optimizing Databricks Workloads is suitable for students ages 12 and up.
Note that there may be other factors that effect this rating besides length that are not factored in on this page. This may include things like complex language or sensitive topics not suitable for students of certain ages.
When deciding what to show young students always use your best judgement and consult a professional.
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