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[SOLVED] xcrun: error: invalid active developer path (/Library/Developer/CommandLineTools), missing xcrun at: /Library/Developer/CommandLineTools/usr/bin/xcrun
In this post I will show you how to solve error: xcrun: error: invalid active developer path (/Library/Developer/CommandLineTools) missing xcrun…
How To Update MacOS? Keep You Mac Up To Date In Easy Way!
In this post I will show you in a few steps how to updated MacOs! IntroductionMacOs Major Releases VersionsHow To…
Free Online Pandas Tutorial Python – Learn Pandas In 5 Cool Lessons!
Part 4. Pandas Data Manipulation Technics – 8 Basic Technics!
This part will teach you how to alter and change your data = Pandas Data Manipulation. You will learn about…
Part 3. Pandas Data Cleaning And Preparation – Pandas Tutorial – Cool Methods To Clean Your Data!
In this post I will five into topic: Pandas Data Cleaning And Preparation. You will learn how to clean and…
Part 5. Pandas Data Visualization – Learn Cool Matplotlib And Seaborn Libraries!
In this post we will dive into topic: Pandas Data Visualization. This part will teach you how to make various…
Part 2. Pandas Data Input and Output: CSV, Excel, SQL, JSON, HTML etc. – Pandas Tutorial – Over 10 Powerful API To Read/Write Data
In this post we will dive into topic: Pandas data input and output. This section will teach you how to…
Part 1. Introduction to Pandas, Pandas Series And Pandas DataFrame. Setup Pandas In Jupyter Notebook – Cool Pandas Tutorial For Beginners!
In this post I will present you the Introduction to Pandas and how to setup Pandas Jupyter Notebook to start…
PySpark / Spark SQL UDF (User Defined Functions) – Learn UDFs In 5 Mins!
In this post I will dive into topic: Spark SQL UDF (User Defined Functions). I will provide you the introduction…
WordPress: PHP Fatal error: Maximum execution time of 30 seconds exceeded – Easy Fix!
In this post I will show you how to fix: PHP Fatal error: Maximum execution time of 30 seconds exceeded….
Git Flow vs Trunk Based Development – 2 Methods! Choose Which One Is Suitable And Cool For You!
In this post I will dive into topic: Git Flow vs Trunk Based. Which one is better and which one…
Convert Pandas DataFrame To Spark DataFrame And Vice Versa – 2 Cool DataFrame!
Big Data
PySpark / Spark SQL UDF (User Defined Functions) – Learn UDFs In 5 Mins!
In this post I will dive into topic: Spark SQL UDF (User Defined Functions). I will provide you the introduction…
Git Flow vs Trunk Based Development – 2 Methods! Choose Which One Is Suitable And Cool For You!
In this post I will dive into topic: Git Flow vs Trunk Based. Which one is better and which one…
Convert Pandas DataFrame To Spark DataFrame And Vice Versa – 2 Cool DataFrame!
PySpark / Spark DataFrame Cache And Persist StorageLevel – Lear The Most Powerful Spark Feature In 5 Min!
In this post I will dive into topic: Spark DataFrame" Cache And Persist StorageLevel. I will present you the main…
PySpark / Spark collect And collectAsList – Retrieve Data From RDD, DataFrame Or DataSet In 2 Easy Ways!
In this post we will dive into topic: PySpark" / Spark collect" And collectAsList IntroductionSpark DriverPySpark / Spark collect" And…
PySpark / Spark Pivot And UnPivot DataFrame Or DataSet – Let’s Learn This 2 Cool Function!
In this post I will show you how to using Spark Pivot" And UnPivot DataFrame" Or DataSet"! IntroductionSpark Pivot SQLSpark…
PySpark / Spark foreachPartition Vs foreach – Check Not Obvious Differences Between These 2 Functions!
In this post we will dive into topic: Spark foreachPartition Vs foreach – Check The Differences Between These 2 Functions!…
PySpark / Spark SQL Join DataFrames And DataSets – Let’s Learn The Powerful Stuff In 5 Min!
In this post I will show you how to using Spark SQL" join DataFrames And DataSets. IntroductionApache SparkBasic JOIN In…
How To Install PySpark On Windows 10? – Check Easy 7 Steps!
In this post I will show you how to install PySpark" on Windows 10" / Windows 11" or even Windows…
Talend Data Integration (ETL):
Why You Should Learn The Big Data?

Why Big Data Is Awesome? Companies have realised they need data scientists, university institutions are hurrying to develop data science programmes, and media are promoting data science as a trendy career option. It’s nearly hard to be an expert in everything, with new technology and approaches arriving every week. There is only so much time in the week, and there are so many fascinating topics to learn more about.
Market Needs A Lot Of Professionals With Expertise In Big Data!
It is critical to demonstrate the demand for big data professionals in the IT business in order to motivate you to learn Big Data. One of the most fascinating aspects of Big Data is how quickly it evolves.
High Salaries
The demand for Big Data experts such as Data Analysts, Data Scientists, Data Architects, and others is expanding in tandem with the growing amount of data. Companies like Amazon, Google, Facebook, Microsoft", and others pay their Big Data experts a lot of money to work on their consumer data.
A Big Data Engineers salaries, according to Glassdoor, is $104,463 per year in 2022.

Big Data Is Widely Used
Data professionals aren’t limited to working in a few industries; instead, they contribute to a wide range of industries. Finance, manufacturing, information technology, communications, retail, logistics, and autos are just a few of the fields in which you can work.
Big Data is used by every industry to gain a competitive advantage and make data-driven decisions. As a result, now is the ideal time to pursue Big Data as a career path. DataFlair has developed Big Data training courses created by industry veterans to assist you.
Continuous Skills Enhancements
The demand for skilled Big Data specialists is fast increasing, in accordance with Big Data trends in general. There is currently more demand than supply, resulting in significant salary and payout increases for those with the requisite skill set. Major job boards, such as Indeed and LinkedIn, have been posting an increasing number of job openings for Data Analysts and Data Scientists. The need for Big Data specialists with this skill set is increasing, but supply is still scarce. Individuals in this profession will have a lot of work options as a result of this.
Big Data Go Together With AI
Artificial Intelligence (AI) is one of the most sought-after skills in today’s business world. Most individuals are unaware, however, that Big Data serves as a “basis” for organisations looking to begin AI projects. AI is mostly based on the same methodologies and processing skills that are necessary in Big Data environments. Organizations who want to use AI in the future would profit immensely by first establishing a solid and structured Big Data ecosystem. Following this, AI approaches such as cognitive analytics can be used as the following stage.
Break Your Limits And Broad Horizons
Finally, and perhaps most importantly, studying Big Data is a rewarding and (at times) enjoyable time investment. Big Data and data analysis in general are full of puzzles to answer, and they will considerably improve your analytical and reasoning skills. Statistics and problem-solving skills are two primary disciplines of Big Data. These skills are useful and highly practical on a day-to-day basis, even if you don’t want to pursue a career in Big Data.
How To Start Learning Big Data From Scratch?
The best way (to quote the classic) is to answer one important question first: what do you want to do in the world of Big Data? Then start doing it!
Some people want to process data, so it’s good to find out whose it are this Big Data components: Hadoop", Hive", Apache Spark and Apache Airflow".
Others, on the other hand, want to be data analysts, and some want to delve into machine learning algorithms. All these themes are intertwined and complement each other.
It is important to take your own course and stick to it for a long time until we achieve some measurable results. If we keep jumping from one topic to the next and don’t show patience, you will never achieve your goal. Patience and persistence are essential.
The more you delve into the topic and learn about new things, the more you’ll find out Why Big Data Is Awesome!
Other Topics
How To Create Dropdown List In Excel? – Easy & Clear 3 steps!
Manual input of data in MS Excel forms and text cells can lead to many errors and occurrence [ How…
Apache Airflow CeleryExecutor PostgreSQL Redis: Start the great environment using Docker-Compose in 5 minutes!
In this post I will show you how to create a fully operational environment which consist of Apache Airflow" CeleryExecutor…
Apache Spark Machine Learning Predicting Diabetes In Patients – Make Your 1st Cool ML!
Today I will show you how you can use Machine Learning" libraries (ML) (Apache Spark Machine Learning predicting diabetes ),…
Read Multiple Text Files Into Single RDD By Spark – 4 Cool Examples!
Using the textFile() and wholeTextFiles() methods provided by Spark core’s SparkContext class, we may read multiple text files into Single…
[SOLVED] Maven Could Not Find Artifact io.confluent:kafka-avro-serializer:jar:3.3.1 In Central (https://repo.maven.apache.org/maven2) – Trivial Reason And Easy Solution In 1 Min!
It looks like you are trying to use the io.confluent:kafka-avro-serializer library in your Maven project, but Maven is unable to…
Part 1. Introduction to Pandas, Pandas Series And Pandas DataFrame. Setup Pandas In Jupyter Notebook – Cool Pandas Tutorial For Beginners!
In this post I will present you the Introduction to Pandas and how to setup Pandas Jupyter Notebook to start…
How To Install Hortonworks Sandbox With Data Platform In Microsoft Azure? – Useful Tutorial In 3 Easy Steps!
[SOLVED] How To Check Cloudera Impala Version CLI? – This 1 Simple Method Will Help You!
[SOLVED] Teradata Error 3653 SQLState 21S02 All select-lists do not contain the same number of expressions – easy solution!
Teradata Error 3653 SQLState 21S02: In this post, I will explain why you encountered the error message [Error 3653] [SQLState…
On our website you can learn the following topics:
- Why Big Data Is Awesome
- SQL Data Types
- Apache Airflow" SQL Server"
- Oracle Data Types"
Android Apache Airflow Apache Hive Apache Kafka Apache Spark Apache Spark Tutorial Big Data Cloudera DevOps Docker Docker-Compose ETL Excel Free Tools GitHub Hadoop Hortonworks Hyper-V Informatica IntelliJ Java Jenkins Machine Learning Maven Microsoft Azure MongoDB MySQL Oracle Pandas Php Python Scala SEO Spring Boot SQL Developer SQL Server SVN Talend Teradata Tips Tutorial Ubuntu Windows