CAP Theorem under 60 seconds | Consistency | Availability | Partition Tolerance #interview #question
Cluster Configuration in Apache Spark | Thumb rule fo optimal performance #interview #question
Understanding how to Handle Incremental Data without Primary Key | Use Composite Key | #faq
Exploring the Best Approach for Schema Management | Schema Inference Vs Enforcement #interview
Learning to Determine the Number of Executors and Executor Memory | Apache Spark Job #interview
Databricks Vs Apache Spark Vanilla Version #interview #questions
Understanding Dataframe Write Modes in Apache Spark | Overwrite and Append #interview #questions
Exploring Lazy Evaluation in Apache Spark | How Spark Achieves Performance Optimizations #interview
Understanding Jobs, Stages, Tasks and Partitions in Apache Spark under 60 seconds #interview
Control Vs Data Flow in Azure Data Factory | #azure #interview #question
Understanding DAG Vs Lineage Graph in Apache Spark under 60 Seconds | FAQ #interview #bigdata #jobs
Understanding Narrow Vs Wide Transformations in Apache Spark under 60 Seconds | FAQ #interview
Understanding an Important Optimization Technique in Apache Spark | Broadcast Join | No Data Shuffle
Understanding Lineage Graph and Lazy Evaluation in Apache Spark | DAG - Directed Acyclic Graph
Understanding Parallel Processing in Apache Spark | Resilient Distributed Datasets - RDDs
Exploring Spark's withColumn() Method for Powerful DataFrame Manipulations | Spark Transformations
Apache Spark Optimization techniques | Partitioning Vs Bucketing | Column Cardinality | #interview
RDDs Vs DataFrames under 60 seconds| Handle Distributed Data| Low-level Vs Higher-level Spark APIs
Spark Execution Plan | Schema Validation | Un-Resolved Logical Plan - Logical Plan - Physical Plan
Understanding the Different Kinds of Triggers in Azure Data Factory #interview #question Azure Cloud
Understanding Apache Spark Repartition and Coalesce under 60 seconds #interview #question
Analysing the failed Spark Jobs using Log Files | log Files in Databricks | Best Practices in Spark
Learn Columnar Storage under 60 seconds #dataengineering #apachespark #interview #bigdataengineering
Explaining Data Lake Versus Data Warehouse in Less Than 60 Seconds | Cloud Storage
Failing Interview vs Not Attending Interviews | Do you Fear Failing an Interview? #interview #career
30 Data Engineering Mock Interviews in Next 30 Days | The Data Engineers Club #bigdata
From Interview Struggles to Big Data Success
Achieving a Flourishing Career in Big Data Engineering | Advancing as a Data Engineer in Your Career
Big Data Engineering | Skills that can Boost your Career with High CTC
Career in a highly sought-after fields | Big Data Engineering | High CTC
Big Data Engineer | Must have Skills | Interview Tips for higher CTC
Successful Career in Big Data Engineering | Career growth as a Data Engineer
Transforming Careers with Big Data : A Data Engineer's Success Story
Transforming My Future with Big Data: Student Testimonial
Build a Powerful LinkedIn Profile | Mistakes to avoid while creating a Professional Online Presence
How to tackle interview questions | Interviewer - Do you have any questions?
Data Structures and Algorithms for Data Engineers | DSA interview questions | Preparation Strategies
How do Companies like LinkedIn | Twitter | Netflix handle their customer data ?
How companies like Amazon Analyze Customer Data | Transactional(OLTP) Vs Analytical(OLAP) Systems
Reason behind Netflix Success | How Netflix Uses Big Data and Analytics to Generate Billions
How Data Engineering came into existence | Why the Industry needs Big Data Engineers
Big Data on Cloud | Why Companies are choosing Cloud Services to deal with Big Data | Azure | AWS
Three Reasons Why Big Data is a best Career Choice | Salary, Opportunities and Demand
Software Engineers Vs Data Engineers | Data Engineers work on providing Accurate Data for Analysis!
Scope and Future of Big Data Engineers | As Data Grows ➡️ Demand for Data Engineers Increases
Tips for new aspiring Data Engineers | Top 3 skills you must have to be a successful Data Engineer
Best Programming Languages for a Big Data Engineer | Python, Java, Scala
Big Data for Dynamic Pricing | Here is how hotels use Big Data to improve their business!
X
About
Hey!
I'm Sumit Mittal - Founder & CEO of TrendyTech.
I transform the careers of Big data aspirants through my carefully curated masters program to help them evolve into Big data experts. I have put in my wholehearted effort to present to you the best online big data course through the experience gained by having worked on multiple challenging Big data projects as an EX-CISCO and VMware employee.
The journey began in 2018 with my passion for teaching. Started by training a few working professionals, and eventually quit my high-paying job to pursue my passion and to bring about a change in the professional lives of many.
I have incorporated effective learning approaches to master Big Data that have been assimilated over the years as an alumni of top educational organizations like NIT Trichy, BITS Pilani, and IIIT Bangalore.
Link to my website: trendytech.in
Tags