ProjectPro

JUNE 18, 2021

Java vs Python for Data Science- Which is better? This blog aims to answer all questions on how Java vs Python compare for data science and which should be the programming language of your choice for doing data science in 2021. Table of Contents Java vs Python - Which language fills the need and mesh well with data science?

Java 52

Java Data Science Python Programming Language 52

Knowledge Hut

JANUARY 22, 2024

Online vs. In-Person Delivery The choice between online and in-person delivery for data science courses depends on your learning preferences and situational factors. Cloud Computing Cloud computing courses focus on deploying and managing big data platforms like Hadoop, Spark, Kafka etc on cloud infrastructure.

Data Science 52

Data Science Certification Education Data Lake 52

ProjectPro

JANUARY 19, 2022

Data Engineering Requirements Data Engineer Learning Path: Self-Taught Learn Data Engineering through Practical Projects Azure Data Engineer Vs AWS Data Engineer Vs GCP Data Engineer FAQs on Data Engineer Job Role How long does it take to become a data engineer? Knowledge of popular big data tools like Apache Spark, Apache Hadoop, etc.

Data Engineering 52

Data Engineering Data Engineer Engineering Amazon Web Services 52

ProjectPro

SEPTEMBER 26, 2021

Read this blog to find out! This blog on Big Data Engineer salary gives you a clear picture of the salary range according to skills, countries, industries, job titles, etc. Knowledge and experience in Big Data frameworks, such as Hadoop , Apache Spark , etc., Wondering if Spark is suitable for Big Data?

Big Data 52

Big Data Data Engineering Data Engineer Engineering 52

ProjectPro

JUNE 9, 2021

This blog on Data Science vs. Data Engineering presents a detailed comparison between the two domains. vs. What does a Data Engineer do? Data Engineer vs Data Scientist: Which is better? Data Engineer vs. Data Scientist A LinkedIn report in 2021 shows data science and data engineering are among the top 15 in-demand jobs.

Data Engineering 52

Data Engineering Data Engineer Engineering Amazon Web Services 52

Knowledge Hut

DECEMBER 22, 2023

This blog offers a comprehensive explanation of the data skills you must acquire, the top data science online courses , career paths in data science, and how to create a portfolio to become a data scientist. Big Data Technologies: Familiarize yourself with distributed computing frameworks like Apache Hadoop and Apache Spark.

Portfolio 94

Portfolio Data Science Programming Language Scala 94

ProjectPro

FEBRUARY 4, 2016

We know that big data professionals are far too busy to searching the net for articles on Hadoop and Big Data which are informative and factually accurate. We have taken the time and listed 10 best Hadoop articles for you. To read the complete article, click here 2) How much Java is required to learn Hadoop?

Hadoop 40

Hadoop Java Retail Big Data 40

phData: Data Engineering

JULY 12, 2022

However, the approach that a data engineer would take to model data vs. a data analyst looks very different. For data engineers who are more comfortable and familiar with Apache Spark, they may favor using Snowpark. How Do Data Engineers Implement Data Models in Snowflake?

SQL 52

SQL Data Engineering Data Engineer Data 52

ProjectPro

JUNE 29, 2016

As open source technologies gain popularity at a rapid pace, professionals who can upgrade their skillset by learning fresh technologies like Hadoop, Spark, NoSQL, etc. From this, it is evident that the global hadoop job market is on an exponential rise with many professionals eager to tap their learning skills on Hadoop technology.

Hadoop 40

Hadoop Big Data Banking Consulting 40

ProjectPro

JUNE 17, 2016

92% of the jobs are posted on LinkedIn vs. 39% on Twitter and 48% on Facebook. ” We hope that this blog post will solve all your queries related to crafting a winning LinkedIn profile. A JobVite survey reveals that 78% of recruiters hire through a social network of which LinkedIn is the leading network for hiring.

Hadoop 40

Hadoop Recruitment Big Data NoSQL 40

ProjectPro

NOVEMBER 11, 2014

Confused over which framework to choose for big data processing - Hadoop MapReduce vs. Apache Spark. This blog helps you understand the critical differences between two popular big data frameworks. Hadoop and Spark are popular apache projects in the big data ecosystem.

Hadoop 40

Hadoop Scala Machine Learning Java 40

ProjectPro

SEPTEMBER 29, 2021

In this blog, you will find a detailed description of all you need to learn about probability and statistics for machine learning. Book Link: "Probabilistic Machine Learning" - a book series by Kevin Murphy Recommended Reading: Correlation Vs Covariance in Data Science How to Become an MLOps Engineer in 2021 ?

Machine Learning 52

Machine Learning Insurance Algorithm Datasets 52

ProjectPro

FEBRUARY 24, 2016

This blog breaks down the data science salary figures for today’s data workforce based on which company they work for, years of experience, specialization of data science tools and technologies, location, and other factors. 49% of data science job postings mention Hadoop as a must-have skill for a data scientist.

Hadoop 40

Hadoop Data Science Computer Science R (Programming) 40

Cloudera

NOVEMBER 7, 2023

Apache Ozone is compatible with Amazon S3 and Hadoop FileSystem protocols and provides bucket layouts that are optimized for both Object Store and File system semantics. This blog post is intended to provide guidance to Ozone administrators and application developers on the optimal usage of the bucket layouts for different applications.

Systems 100

Systems Hadoop Unstructured Data Media 100

ProjectPro

JULY 12, 2021

This blog will take you through a relatively new career title in the data industry — AI Engineer. AI Engineer Roles and Responsibilities AI Engineer vs. Machine Learning Engineer vs. Data Engineer AI Engineer vs Data Scientist Skills Required to Become an AI Engineer What degree do you need to be an AI Engineer?

Engineering 40

Engineering Deep Learning Software Engineer Software Engineering 40

Knowledge Hut

JANUARY 16, 2024

In this comprehensive blog, we delve into the foundational aspects and intricacies of the machine learning landscape. Sound knowledge in packages and APIs such as scikit-learn, Theano, Spark MLlib, H2O, TensorFlow, etc. Spark and Hadoop: Hadoop skills are needed for working in a distributed computing environment.

Machine Learning 87

Machine Learning Engineering Programming Language Algorithm 87

Confluent

SEPTEMBER 26, 2019

In the early days, many companies simply used Apache Kafka ® for data ingestion into Hadoop or another data lake. ® , Go, and Python SDKs where an application can use SQL to query raw data coming from Kafka through an API (but that is a topic for another blog). However, Apache Kafka is more than just messaging.

Kafka 21

Kafka BI SQL Datasets 21

ProjectPro

OCTOBER 14, 2016

Hadoop certifications are recognized in the industry as a confident measure of capable and qualified big data experts. Some of the commonly asked questions are - “Is hadoop certification worth the investment? Some of the commonly asked questions are - “Is hadoop certification worth the investment?”

Hadoop 52

Hadoop Certification Recruitment Big Data 52

ProjectPro

JANUARY 31, 2023

In this blog, we'll dive into some of the most commonly asked big data interview questions and provide concise and informative answers to help you ace your next big data job interview. Define Big Data and Explain the Seven Vs of Big Data. The seven Vs of big data are Volume: Volume represents the amount of data growing exponentially.

Big Data 52

Big Data Hadoop AWS Relational Database 52

ProjectPro

AUGUST 24, 2021

And, out of these professions, this blog will discuss the data engineering job role. The data in Kafka is analyzed with Spark Streaming API, and the data is stored in a column store called HBase. Learn how to process Wikipedia archives using Hadoop and identify the lived pages in a day.

Data Engineering 52

Data Engineering Data Engineer Coding Project 52

U-Next

SEPTEMBER 7, 2022

In a Data Lake architecture , Apache Hadoop is an example of a data infrastructure that is capable of storing and processing large amounts of structured and unstructured data. . Data Lake Vs. Data Warehouse: Latest Industry Stats . Data Lake vs. Data Warehouse: Similarities . Data Lake vs. Data Warehouse: Differences .

Data Lake 52

Data Lake Data Warehouse Unstructured Data Amazon Web Services 52

AltexSoft

OCTOBER 21, 2022

popular SQL and NoSQL database management systems including Oracle, SQL Server, Postgres, MySQL, MongoDB, Cassandra, and more; cloud storage services — Amazon S3, Azure Blob, and Google Cloud Storage; message brokers such as ActiveMQ, IBM MQ, and RabbitMQ; Big Data processing systems like Hadoop ; and. Kafka vs Hadoop.

Kafka 93

Kafka Hadoop ETL Tools Big Data 93

Cloudera

AUGUST 21, 2020

a deeper cloud vs. on-prem cost/benefit analysis raises more questions about moving these complex systems to the cloud: Is moving this particular operation to the cloud the right option right now ? These platforms represent far more than just “Hadoop” . But the “elephant in the room” is NOT ‘Hadoop’. Let’s Talk!

Hadoop 71

Hadoop Big Data Cloud Kafka 71

ProjectPro

MARCH 23, 2016

And so spawned from this research paper, the big data legend - Hadoop and its capabilities for processing enormous amount of data. Same is the story, of the elephant in the big data room- “Hadoop” Surprised? Yes, Doug Cutting named Hadoop framework after his son’s tiny toy elephant. Why use Hadoop?

Hadoop 40

Hadoop IT Big Data Retail 40

ProjectPro

JANUARY 19, 2022

Read this blog till the end to learn more about the roles and responsibilities, necessary skillsets, average salaries, and various important certifications that will help you build a successful career as an Azure Data Engineer. It is better to know when to employ a data lake vs. a data warehouse to create data solutions for an organization.

Data Engineering 52

Data Engineering Data Engineer Engineering Scala 52

ProjectPro

NOVEMBER 7, 2016

Understanding the Hadoop architecture now gets easier! This blog will give you an indepth insight into the architecture of hadoop and its major components- HDFS, YARN, and MapReduce. We will also look at how each component in the Hadoop ecosystem plays a significant role in making Hadoop efficient for big data processing.

Hadoop 40

Hadoop Architecture IT Big Data 40

Cloudera

DECEMBER 18, 2017

In my previous blog, “Three Ways to Change Your Approach to Data,” I wrote about how distributed platforms for analytics are enabling this revolution. Open source projects like Apache Hadoop, Spark, Impala, and many others are changing the way companies capture, store, process, and analyze big data. You’re fine.”

Hadoop 40

Hadoop Business Analyst Machine Learning Media 40

ProjectPro

JUNE 28, 2016

Apache Kafka is breaking barriers and eliminating the slow batch processing method that is used by Hadoop. Kafka was mainly developed to make working with Hadoop easier. True that it is eliminating the limitations of Hadoop – but it will not eliminate Hadoop itself.

Kafka 40

Kafka Systems Hadoop BI 40

ProjectPro

JULY 6, 2016

This article will give you a sneak peek into the commonly asked HBase interview questions and answers during Hadoop job interviews. But at that moment, you cannot remember, and then blame yourself mentally for not preparing thoroughly for your Hadoop Job interview. HBase provides real-time read or write access to data in HDFS.

Hadoop 40

Hadoop Bytes Metadata MongoDB 40

ProjectPro

AUGUST 26, 2016

Apache Spark is the most active open big data tool reshaping the big data market and has reached the tipping point in 2015.Wikibon Wikibon analysts predict that Apache Spark will account for one third (37%) of all the big data spending in 2022. All thanks to the primary interaction point of apache spark RDDs.

Hadoop 40

Hadoop Big Data Datasets Scala 40

ProjectPro

JANUARY 31, 2022

This blog walks you through what does Snowflake do , the various features it offers, the Snowflake architecture, and so much more. Snowflake is not based on existing database systems or big data software platforms like Hadoop. Launched in 2014, Snowflake is one of the most popular cloud data solutions on the market.

Architecture 52

Architecture IT Data Warehouse Amazon Web Services 52

ProjectPro

JULY 27, 2021

This blog is your one-stop solution for the top 100+ Data Engineer Interview Questions and Answers. In this blog, we have collated the frequently asked data engineer interview questions based on tools and technologies that are highly useful for a data engineer in the Big Data industry. List some of the essential features of Hadoop.

Data Engineering 40

Data Engineering Data Engineer Engineering Hadoop 40

Confluent

APRIL 30, 2019

We will use his tool to generate graphical illustrations of all topologies in this blog post. Key changing vs. value-changing operations. Of course, this would require you to have deep knowledge of Streams DSL topology generation internals (or to have been a reader of this blog post :)) in order to make the appropriate code changes.

Kafka 90

Kafka Coding Process Bytes 90

phData: Data Engineering

JANUARY 3, 2022

When is it more profitable to use method A vs. method B? You also have to be concerned about merge strategies (merge commit vs squash) in order to be able to revert changes confidently. Deequ is an extension of Apache Spark that allows you to write unit tests against your data. There’s also potentially additional cost.

IT 52

IT AWS Software Engineer Software Engineering 52

ProjectPro

JUNE 29, 2021

This blog brings you the most popular Kafka interview questions and answers divided into various categories such as Apache Kafka interview questions for beginners, Advanced Kafka interview questions/Apache Kafka interview questions for experienced, Apache Kafka Zookeeper interview questions, etc. Specifically designed for Hadoop.

Kafka 40

Kafka Bytes Big Data Java 40