ProjectPro

OCTOBER 5, 2018

With market leaders like Microsoft and SAP expanding their horizons at the end user industry, HaaS is likely to witness rapid growth in the next 7 years.Organizations like Commerzbank have already launched new platforms based on HaaS solutions which demonstrate that HaaS is a promising solution for building and managing big data clusters.

Hadoop 40

Hadoop BI Big Data MongoDB 40

ProjectPro

APRIL 27, 2016

Scott Gnau, CTO of Hadoop distribution vendor Hortonworks said - "It doesn't matter who you are — cluster operator, security administrator, data analyst — everyone wants Hadoop and related big data technologies to be straightforward. Curious to know about these Hadoop innovations?

Hadoop 40

Hadoop Big Data Technology Kafka 40

ProjectPro

SEPTEMBER 9, 2021

Apache Hive and Apache Spark are the two popular Big Data tools available for complex data processing. To effectively utilize the Big Data tools, it is essential to understand the features and capabilities of the tools. Spark SQL, for instance, enables structured data processing with SQL.

Hadoop 52

Hadoop Big Data Tools Java SQL 52

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. Processes structured data.

Hadoop 40

Hadoop Big Data Metadata Java 40

Big Data Tools

NOVEMBER 8, 2021

Here’s what’s happening in the world of data engineering right now. Spark Release 3.2.0 – We’ll start with the big news first. Apache Spark® has been released and there are a load of changes, including ANSI SQL support, Pandas API layer over PySpark, and lots and lots of other things.

Data Engineering 52

Data Engineering Data Engineer Engineering Big Data Tools 52

Big Data Tools

NOVEMBER 8, 2021

Here’s what’s happening in the world of data engineering right now. Spark Release 3.2.0 – We’ll start with the big news first. Apache Spark® has been released and there are a load of changes, including ANSI SQL support, Pandas API layer over PySpark, and lots and lots of other things.

Data Engineering 52

Data Engineering Data Engineer Engineering Big Data Tools 52

Big Data Tools

SEPTEMBER 6, 2021

How Uber Achieves Operational Excellence in the Data Quality Experience – Uber is known for having a huge Hadoop installation in Kubernetes. This blog post is more about data quality, though, describing how they built their data quality platform. Should I backtick the identifiers here? That wraps up August’s Annotated.

Data Engineering 52

Data Engineering Data Engineer Engineering Big Data Tools 52

AltexSoft

FEBRUARY 11, 2023

It serves as a foundation for the entire data management strategy and consists of multiple components including data pipelines; , on-premises and cloud storage facilities – data lakes , data warehouses , data hubs ;, data streaming and Big Data analytics solutions ( Hadoop , Spark , Kafka , etc.);

Data Architect 87

Data Architect Certification Generalist Big Data 87

ProjectPro

SEPTEMBER 26, 2021

Build an Awesome Job Winning Data Engineering Projects Portfoli o Technical Skills Required to Become a Big Data Engineer Database Systems: Data is the primary asset handled, processed, and managed by a Big Data Engineer. You must have good knowledge of the SQL and NoSQL database systems.

Big Data 52

Big Data Data Engineering Data Engineer Engineering 52

Big Data Tools

JULY 13, 2022

It made me think that the era of on-premises free Hadoop installations had come to an end. I’m actually happy that this has happened – Hadoop was there for me at the very beginning of my career and I have very positive feelings associated with it. That wraps up June’s Data Engineering Annotated.

Data Engineering 52

Data Engineering Data Engineer Engineering Kafka 52

Big Data Tools

JULY 13, 2022

It made me think that the era of on-premises free Hadoop installations had come to an end. I’m actually happy that this has happened – Hadoop was there for me at the very beginning of my career and I have very positive feelings associated with it. That wraps up June’s Data Engineering Annotated.

Data Engineering 52

Data Engineering Data Engineer Engineering Kafka 52

Big Data Tools

JUNE 8, 2022

On top of that, it’s a part of the Hadoop platform, which created additional work that we otherwise would not have had to do. Impala 4.1.0 – While almost all data engineering SQL query engines are written in JVM languages, Impala is written in C++. That wraps up May’s Data Engineering Annotated.

Data Engineering 52

Data Engineering Data Engineer Engineering Kafka 52

Big Data Tools

JUNE 8, 2022

On top of that, it’s a part of the Hadoop platform, which created additional work that we otherwise would not have had to do. Impala 4.1.0 – While almost all data engineering SQL query engines are written in JVM languages, Impala is written in C++. That wraps up May’s Data Engineering Annotated.

Data Engineering 52

Data Engineering Data Engineer Engineering Kafka 52

Edureka

FEBRUARY 9, 2023

Data Ingestion and Transformation: Candidates should have experience with data ingestion techniques, such as bulk and incremental loading, as well as experience with data transformation using Azure Data Factory. SQL is also an essential skill for Azure Data Engineers.

Data Engineering 52

Data Engineering Data Engineer Engineering Amazon Web Services 52

ProjectPro

JANUARY 31, 2023

Typically, data processing is done using frameworks such as Hadoop, Spark, MapReduce, Flink, and Pig, to mention a few. How is Hadoop related to Big Data? Explain the difference between Hadoop and RDBMS. Data Variety Hadoop stores structured, semi-structured and unstructured data.

Big Data 52

Big Data Hadoop Relational Database AWS 52

Big Data Tools

OCTOBER 5, 2021

This release brings over 400 new features, but my favorites are the array aggregation functions in SQL. PostgreSQL 14 – Sometimes I forget, but traditional relational databases play a big role in the lives of data engineers. Improve YARN Registry DNS Server qps – In massive Hadoop clusters, there may be a lot of DNS queries.

Data Engineering 52

Data Engineering Data Engineer Engineering Big Data Tools 52

Big Data Tools

OCTOBER 5, 2021

This release brings over 400 new features, but my favorites are the array aggregation functions in SQL. PostgreSQL 14 – Sometimes I forget, but traditional relational databases play a big role in the lives of data engineers. Improve YARN Registry DNS Server qps – In massive Hadoop clusters, there may be a lot of DNS queries.

Data Engineering 52

Data Engineering Data Engineer Engineering Big Data Tools 52

Knowledge Hut

NOVEMBER 2, 2023

Top 10 Azure Data Engineering Project Ideas for Beginners For beginners looking to gain practical experience in Azure Data Engineering, here are 10 Azure Data engineer real time projects ideas that cover various aspects of data processing, storage, analysis, and visualization using Azure services: 1.

Data Engineering 52

Data Engineering Data Engineer Project Coding 52

Knowledge Hut

SEPTEMBER 6, 2023

Problem-Solving Abilities: Many certification courses provide projects and assessments which require hands-on practice of big data tools which enhances your problem solving capabilities. Networking Opportunities: While pursuing big data certification course you are likely to interact with trainers and other data professionals.

Big Data 52

Big Data Certification Hadoop Kafka 52

ProjectPro

JANUARY 19, 2022

Knowledge of popular big data tools like Apache Spark, Apache Hadoop, etc. Good communication skills as a data engineer directly works with the different teams. To do that, a data engineer is likely to be expected to learn big data tools. The list does not end here.

Data Engineering 52

Data Engineering Data Engineer Engineering Amazon Web Services 52

Knowledge Hut

MARCH 27, 2024

You can check out the Big Data Certification Online to have an in-depth idea about big data tools and technologies to prepare for a job in the domain. To get your business in the direction you want, you need to choose the right tools for big data analysis based on your business goals, needs, and variety.

Big Data 52

Big Data Data Analytics MongoDB Big Data Tools 52

Knowledge Hut

JUNE 23, 2023

You should have the expertise to collect data, conduct research, create models, and identify patterns. You should be well-versed with SQL Server, Oracle DB, MySQL, Excel, or any other data storing or processing software. You must develop predictive models to help industries and businesses make data-driven decisions.

Data Engineering 52

Data Engineering Data Engineer Engineering NoSQL 52

Data Science Blog: Data Engineering

JULY 4, 2022

Already familiar with the term big data, right? Despite the fact that we would all discuss Big Data, it takes a very long time before you confront it in your career. Apache Spark is a Big Data tool that aims to handle large datasets in a parallel and distributed manner.

Hadoop 52

Hadoop Big Data Datasets Scala 52

Big Data Tools

SEPTEMBER 6, 2021

How Uber Achieves Operational Excellence in the Data Quality Experience – Uber is known for having a huge Hadoop installation in Kubernetes. This blog post is more about data quality, though, describing how they built their data quality platform. Should I backtick the identifiers here? That wraps up August’s Annotated.

Data Engineering 40

Data Engineering Data Engineer Engineering Big Data Tools 40

ProjectPro

AUGUST 24, 2021

So, work on projects that guide you on how to build end-to-end ETL/ELT data pipelines. Big Data Tools: Without learning about popular big data tools, it is almost impossible to complete any task in data engineering. Google BigQuery receives the structured data from workers.

Data Engineering 52

Data Engineering Data Engineer Coding Project 52

Knowledge Hut

NOVEMBER 17, 2023

Here is a step-by-step guide on how to become an Azure Data Engineer: 1. Understanding SQL You must be able to write and optimize SQL queries because you will be dealing with enormous datasets as an Azure Data Engineer. You should possess a strong understanding of data structures and algorithms.

Data Engineering 52

Data Engineering Data Engineer Engineering Scala 52

ProjectPro

SEPTEMBER 26, 2021

This blog on Big Data Engineer salary gives you a clear picture of the salary range according to skills, countries, industries, job titles, etc. Big Data gets over 1.2 Several industries across the globe are using Big Data tools and technology in their processes and operations. So, let's get started!

Big Data 52

Big Data Data Engineering Data Engineer Engineering 52

ProjectPro

FEBRUARY 16, 2023

The book also demonstrates how to use the powerful built-in libraries MLib, Spark Streaming, and Spark SQL. High-Performance Spark: Best Practices for Scaling and Optimizing Apache Spark by Holden Karau, Rachel Warren This book is a comprehensive guide for experienced Spark developers and data engineers to optimize Spark applications.

Big Data 52

Big Data Machine Learning Scala Hadoop 52

ProjectPro

NOVEMBER 22, 2021

Python has a large library set, which is why the vast majority of data scientists and analytics specialists use it at a high level. If you are interested in landing a big data or Data Science job, mastering PySpark as a big data tool is necessary. Is PySpark a Big Data tool?

Hadoop 52

Hadoop Python Datasets Metadata 52

Edureka

FEBRUARY 9, 2023

In this blog on “Azure data engineer skills”, you will discover the secrets to success in Azure data engineering with expert tips, tricks, and best practices Furthermore, a solid understanding of big data technologies such as Hadoop, Spark, and SQL Server is required.

Data Engineering 52

Data Engineering Data Engineer Engineering Data Mining 52

ProjectPro

APRIL 15, 2016

Preparing for a Hadoop job interview then this list of most commonly asked Apache Pig Interview questions and answers will help you ace your hadoop job interview in 2018. Research and thorough preparation can increase your probability of making it to the next step in any Hadoop job interview.

Hadoop 40

Hadoop Java Big Data SQL 40

ProjectPro

AUGUST 11, 2021

Is Snowflake a data lake or data warehouse? Is Hadoop a data lake or data warehouse? Data warehouses store highly transformed, structured data that is preprocessed and designed to serve a specific purpose. Data from data warehouses is queried using SQL.

Data Lake 52

Data Lake Data Warehouse Cloud Hadoop 52

ProjectPro

MARCH 7, 2016

If your career goals are headed towards Big Data, then 2016 is the best time to hone your skills in the direction, by obtaining one or more of the big data certifications. Acquiring big data analytics certifications in specific big data technologies can help a candidate improve their possibilities of getting hired.

Big Data 40

Big Data Certification Hadoop Big Data Skills 40

Knowledge Hut

DECEMBER 13, 2023

Micro Focus has rapidly amassed a robust portfolio of Big Data products in just a short amount of time. The Vertica Analytics Platform provides the fastest query processing on SQL Analytics, and Hadoop is built to manage a huge volume of structured data. This tool can process up to 80 terabytes of data.

Big Data 52

Big Data Consulting Hadoop Amazon Web Services 52

ProjectPro

JULY 27, 2021

Top 100+ Data Engineer Interview Questions and Answers The following sections consist of the top 100+ data engineer interview questions divided based on big data fundamentals, big data tools/technologies, and big data cloud computing platforms.

Data Engineering 40

Data Engineering Data Engineer Engineering Hadoop 40

Knowledge Hut

APRIL 23, 2024

It becomes more complex because the data keeps adding on a large scale. It is simpler than data science, as BI analysts only deal with sorted data forms. Technologies Used Technologies like Hadoop are available for effective data science operations, and many other tools and techniques are rapidly launching in the market.

Business Intelligence 52

Business Intelligence Data Science BI Unstructured Data 52

Knowledge Hut

MAY 23, 2024

Apache Spark: Apache Spark is a well-known data science tool, framework, and data science library, with a robust analytics engine that can provide stream processing and batch processing. It can analyze data in real-time and can perform cluster management. It is much faster than other analytic workload tools like Hadoop.

Data Science 52

Data Science MongoDB Programming Language Hadoop 52