ProjectPro

JUNE 6, 2025

Everything is about data these days. Data is information, and information is power.” ” Radi, data analyst at CENTOGENE. The Big data market was worth USD 162.6 Billion in 2021 and is likely to reach USD 273.4 Big data enables businesses to get valuable insights into their products or services.

Big Data 40

Big Data Hadoop Relational Database NoSQL 40

ProjectPro

JUNE 6, 2025

Additional recognition for RapidMiner includes the Gartner Vision Awards 2021 for data science and machine learning platforms, multimodal predictive analytics, machine learning solutions from Forrester, and Crowd's most user-friendly data science and machine learning platform in the spring G2 report 2021.

Big Data Tools 40

Big Data Tools Big Data Hadoop BI 40

ProjectPro

JUNE 6, 2025

Features of Apache Spark Allows Real-Time Stream Processing- Spark can handle and analyze data stored in Hadoop clusters and change data in real time using Spark Streaming. Faster and Mor Efficient processing- Spark apps can run up to 100 times faster in memory and ten times faster in Hadoop clusters.

Data Engineering 45

Data Engineering Data Engineer Engineering Kafka 45

ProjectPro

JUNE 6, 2025

Data Architect Salary How to Become a Data Architect - A 5-Step Guide Become a Data Architect - Key Takeaways FAQs on Data Architect Career Path What is a Data Architect Role? Also, it reports job growth of about 9% for the role of a data architect between 2021 to 2031.

Data Architect 40

Data Architect Data Mining Programming Language Java 40

ProjectPro

JUNE 6, 2025

Who is a GCP Data Engineer? A professional data engineer designs systems to gather and navigate data. Data engineers require strong experience with multiple data storage technologies and frameworks to build data pipelines. Worried about finding good Hadoop projects with Source Code ?

Data Engineering 40

Data Engineering Data Engineer Google Cloud Engineering 40

ProjectPro

JUNE 6, 2025

That's where acquiring the best big data certifications in specific big data technologies is a valuable asset that significantly enhances your chances of getting hired. Read below to determine which big data certification fits your requirements and works best for your career goals. billion in 2021 and is projected to reach $273.4

Big Data 40

Big Data Certification Amazon Web Services Hadoop 40

Cloudera

JUNE 2, 2021

Apache Ozone is a distributed object store built on top of Hadoop Distributed Data Store service. In Ozone, HDDS (Hadoop Distributed Data Storage) layer including SCM and Datanodes provides a generic replication of containers/blocks without namespace metadata. var/lib/hadoop-ozone/om/ozone-metadata/om/(key/certs).

Metadata 95

Metadata Hadoop Certification Algorithm 95

Big Data Tools

SEPTEMBER 6, 2021

Cache for ORC metadata in Spark – ORC is one of the most popular binary formats for data storage, featuring awesome compression and encoding capabilities. How Uber Achieves Operational Excellence in the Data Quality Experience – Uber is known for having a huge Hadoop installation in Kubernetes.

Data Engineering 52

Data Engineering Data Engineer Engineering Big Data Tools 52

ProjectPro

JUNE 6, 2025

For instance, with a projected average annual salary of $171,749, the GCP Professional Data Engineer certification was the top-paying one on this list in 2021. Boost Your Skills and Knowledge You can keep up with the newest technology and best practices in the industry by earning data engineering certifications.

Certification 40

Certification Data Engineering Data Engineer Engineering 40

Knowledge Hut

JULY 27, 2023

The interesting world of big data and its effect on wage patterns, particularly in the field of Hadoop development, will be covered in this guide. As the need for knowledgeable Hadoop engineers increases, so does the debate about salaries. You can opt for Big Data training online to learn about Hadoop and big data.

Hadoop 52

Hadoop Banking Programming Language Scala 52

Christophe Blefari

JUNE 21, 2024

Both companies have added Data and AI to their slogan, Snowflake used to be The Data Cloud and now they're The AI Data Cloud. One way to read data platforms When we look at platforms history what characterises evolution is the separation (or not) between the engine and the storage. But what is doing Tabular?

Metadata 147

Metadata Data Warehouse BI Scala 147

ProjectPro

JUNE 1, 2016

News on Hadoop-May 2016 Microsoft Azure beats Amazon Web Services and Google for Hadoop Cloud Solutions. MSPowerUser.com In the competition of the best Big Data Hadoop Cloud solution, Microsoft Azure came on top – beating tough contenders like Google and Amazon Web Services. May 3, 2016. May 10, 2016. May 16, 2016.

Hadoop 40

Hadoop Amazon Web Services BI Unstructured Data 40

ProjectPro

JUNE 6, 2025

With the help of ProjectPro’s Hadoop Instructors, we have put together a detailed list of big data Hadoop interview questions based on the different components of the Hadoop Ecosystem such as MapReduce, Hive, HBase, Pig, YARN, Flume, Sqoop , HDFS, etc. What is the difference between Hadoop and Traditional RDBMS?

Hadoop 40

Hadoop Big Data Metadata Java 40

ProjectPro

JUNE 6, 2025

It also has an integrated ADLS Gen2 account and file system for temporary data storage. It carries out crucial tasks such as data exploration, preparation, orchestration, and visualization. This dataset contains data on the teams, athletes, coaches, and entries that participated, subdivided by gender.

Data Engineering 40

Data Engineering Data Engineer Engineering Data Lake 40

ProjectPro

JUNE 6, 2025

Some excellent cloud data warehousing platforms are available in the market- AWS Redshift, Google BigQuery , Microsoft Azure , Snowflake , etc. Google BigQuery holds a 12.78% share in the data warehouse market and has been rated a leader by Forrester Wave research in 2021, which makes it a highly popular data warehousing platform.

Bytes 40

Bytes Google Cloud Data Warehouse Cloud Storage 40

ProjectPro

MARCH 23, 2015

was intensive and played a significant role in processing large data sets, however it was not an ideal choice for interactive analysis and was constrained for machine learning, graph and memory intensive data analysis algorithms. In one of our previous articles we had discussed about Hadoop 2.0

Hadoop 40

Hadoop Big Data Kafka Architecture 40

Big Data Tools

SEPTEMBER 6, 2021

Cache for ORC metadata in Spark – ORC is one of the most popular binary formats for data storage, featuring awesome compression and encoding capabilities. How Uber Achieves Operational Excellence in the Data Quality Experience – Uber is known for having a huge Hadoop installation in Kubernetes.

Data Engineering 40

Data Engineering Data Engineer Engineering Big Data Tools 40

Towards Data Science

FEBRUARY 15, 2023

Concepts, theory, and functionalities of this modern data storage framework Photo by Nick Fewings on Unsplash Introduction I think it’s now perfectly clear to everybody the value data can have. To use a hyped example, models like ChatGPT could only be built on a huge mountain of data, produced and collected over years.

Data Lake 98

Data Lake Data Warehouse Data Architecture Architecture 98

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

ProjectPro

JUNE 6, 2025

Source- docs.getdbt.com/quickstarts Theoretical knowledge is not enough to crack any Big Data interview. Get your hands dirty on Hadoop projects for practice and master your Big Data skills! How To Build Snowflake dbt Data Pipelines? Here are five key best practices you must follow while using dbt with Snowflake- 1.

Pipeline-centric 40

Pipeline-centric Database-centric Raw Data Data Warehouse 40

ProjectPro

AUGUST 21, 2015

With the help of ProjectPro’s Hadoop Instructors, we have put together a detailed list of big data Hadoop interview questions based on the different components of the Hadoop Ecosystem such as MapReduce, Hive, HBase, Pig, YARN, Flume, Sqoop , HDFS, etc. What is the difference between Hadoop and Traditional RDBMS?

Hadoop 40

Hadoop Big Data Metadata Java 40

ProjectPro

JUNE 6, 2025

In addition, the jobs for healthcare data analysts are likely to grow by 13 percent between 2021 and 2031, resulting in higher demand for healthcare professionals. Perform data analysis, data acquisition, data governance, data management, and data visualization to deliver optimal healthcare management activities.

Healthcare 49

Healthcare Electronics Medical Hospitality 49

Knowledge Hut

DECEMBER 22, 2023

Big Data Technologies: Familiarize yourself with distributed computing frameworks like Apache Hadoop and Apache Spark. Learn how to work with big data technologies to process and analyze large datasets. Data Management: Understand databases, SQL, and data querying languages.

Portfolio 98

Portfolio Data Science Programming Language Scala 98

ProjectPro

MAY 30, 2016

The next in the series of articles highlighting the most commonly asked Hadoop Interview Questions, related to each of the tools in the Hadoop ecosystem is - Hadoop HDFS Interview Questions and Answers. HDFS vs GFS HDFS(Hadoop Distributed File System) GFS(Google File System) Default block size in HDFS is 128 MB.

Hadoop 40

Hadoop Metadata Big Data Portfolio 40

ProjectPro

JUNE 6, 2025

According to a similar report by Pearson VUE (Value of IT Certification, 2021), 61% of certified tech professionals report getting promoted, 73% report upskilling to keep up with emerging technology, and 76% report higher job satisfaction. showcase your knowledge and competence using cloud platforms, cloud data services, and solutions.

Certification 45

Certification Google Cloud Data Lake SQL 45

ProjectPro

JANUARY 31, 2023

Everything is about data these days. Data is information, and information is power.” ” Radi, data analyst at CENTOGENE. The Big data market was worth USD 162.6 Billion in 2021 and is likely to reach USD 273.4 Big data enables businesses to get valuable insights into their products or services.

Big Data 52

Big Data Hadoop Relational Database NoSQL 52

ProjectPro

JUNE 6, 2025

SQL Basics for Data Science How to Learn SQL for Data Science? Why SQL for Data Science? According to a survey conducted by Terence Shin in early 2021, SQL will be the second most in-demand skill for Data Scientists in 2021 and beyond. whereas SQL databases deal with structured data in tables.

Data Science 40

Data Science SQL NoSQL Programming Language 40

ProjectPro

JUNE 6, 2025

Here are some role-specific skills you should consider to become an Azure data engineer- Most data storage and processing systems use programming languages. Data engineers must thoroughly understand programming languages such as Python, Java, or Scala. What is the Microsoft Azure Data Engineer certification exam?

Data Engineering 49

Data Engineering Data Engineer Engineering Certification 49

ProjectPro

DECEMBER 17, 2021

SQL Basics for Data Science 1) Get Started with Learning Basic SQL commands 2) Grouping and Aggregations 3) Joins and Indexing 4) Subqueries 5) Modifying and Analyzing Data 6) Window functions How to Learn SQL for Data Science? Why SQL for Data Science? whereas SQL databases deal with structured data in tables.

Data Science 52

Data Science SQL NoSQL Programming Language 52

Knowledge Hut

DECEMBER 21, 2023

Data engineering involves a lot of technical skills like Python, Java, and SQL (Structured Query Language). For a data engineer career, you must have knowledge of data storage and processing technologies like Hadoop, Spark, and NoSQL databases. Knowledge of Hadoop, Spark, and Kafka.

Data Engineering 52

Data Engineering Data Engineer Engineering MongoDB 52

ProjectPro

JULY 15, 2021

According to an Indeed Jobs report, the share of cloud computing jobs has increased by 42% per million from 2018 to 2021. billion during 2021-2025. It is recommended to use SQL database for data storage as it comes with built-in security tools and features. The global cloud computing market is poised to grow $287.03

Cloud Computing 40

Cloud Computing Cloud Project Banking 40

ProjectPro

JANUARY 19, 2022

Here are some role-specific skills you should consider to become an Azure data engineer- Most data storage and processing systems use programming languages. Data engineers must thoroughly understand programming languages such as Python, Java, or Scala. What is the Microsoft Azure Data Engineer certification exam?

Data Engineering 52

Data Engineering Data Engineer Engineering Certification 52

ProjectPro

FEBRUARY 21, 2023

For instance, with a projected average annual salary of $171,749, the GCP Professional Data Engineer certification was the top-paying one on this list in 2021. Boost Your Skills and Knowledge You can keep up with the newest technology and best practices in the industry by earning data engineering certifications.

Certification 52

Certification Data Engineering Data Engineer Engineering 52

ProjectPro

JUNE 6, 2025

Data Engineer: Key Responsibilities Some of the day-to-day responsibilities of a big data engineer include- Data Pipeline Design and Development- Building and maintaining pipelines to gather and load raw (structured/unstructured) data from various sources. SQL, NoSQL) are essential.

Machine Learning 40

Machine Learning Computer Science Consulting Software Engineering 40

ProjectPro

JUNE 9, 2021

Expert-level knowledge of programming, Big Data architecture, etc., is essential to becoming a Data Engineering professional. Data Engineer vs. Data Scientist A LinkedIn report in 2021 shows data science and data engineering are among the top 15 in-demand jobs. Machine learning skills.

Data Engineering 52

Data Engineering Data Engineer Engineering Amazon Web Services 52

ProjectPro

JANUARY 24, 2023

Some excellent cloud data warehousing platforms are available in the market- AWS Redshift, Google BigQuery , Microsoft Azure , Snowflake , etc. Google BigQuery holds a 12.78% share in the data warehouse market and has been rated a leader by Forrester Wave research in 2021, which makes it a highly popular data warehousing platform.

Bytes 52

Bytes Google Cloud Data Warehouse Cloud Storage 52

AltexSoft

NOVEMBER 10, 2021

The DW nature isn’t the best fit for complex data processing such as machine learning as warehouses normally store task-specific data, while machine learning and data science tasks thrive on the availability of all collected data. Another type of data storage — a data lake — tried to address these and other issues.

Architecture 52

Architecture Data Lake Data Warehouse Metadata 52