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

AUGUST 18, 2016

To begin your big data career, it is more a necessity than an option to have a Hadoop Certification from one of the popular Hadoop vendors like Cloudera, MapR or Hortonworks. Quite a few Hadoop job openings mention specific Hadoop certifications like Cloudera or MapR or Hortonworks, IBM, etc.

Hadoop 40

Hadoop Certification Big Data Big Data Skills 40

ProjectPro

JUNE 30, 2016

This blog post gives an overview on the big data analytics job market growth in India which will help the readers understand the current trends in big data and hadoop jobs and the big salaries companies are willing to shell out to hire expert Hadoop developers. Don’t believe us?

Hadoop 40

Hadoop Big Data Skills Recruitment NoSQL 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

If you are curious about what Apache Ranger is – it’s the framework set up to maintain security over the whole Hadoop platform. Tools DuckDB – We all know what SQLite is. It has integrations with all the major languages and even has support for Python UDFs. That wraps up October’s Data Engineering Annotated. But they are!

Data Engineering 52

Data Engineering Data Engineer Engineering Big Data Tools 52

Big Data Tools

NOVEMBER 8, 2021

If you are curious about what Apache Ranger is – it’s the framework set up to maintain security over the whole Hadoop platform. Tools DuckDB – We all know what SQLite is. It has integrations with all the major languages and even has support for Python UDFs. That wraps up October’s Data Engineering Annotated. But they are!

Data Engineering 52

Data Engineering Data Engineer Engineering Big Data Tools 52

ProjectPro

SEPTEMBER 26, 2021

You shall have advanced programming skills in either programming languages, such as Python, R, Java, C++, C#, and others. Algorithms and Data Structures: You should understand your organization’s data structures and data functions. Python, R, and Java are the most popular languages currently.

Big Data 52

Big Data Data Engineering Data Engineer Engineering 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?

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

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. It can also be integrated with a variety of data storage systems, including Cassandra, Hadoop, and others.

Data Engineering 52

Data Engineering Data Engineer Engineering Amazon Web Services 52

ProjectPro

AUGUST 9, 2022

Airflow is effective when planning and scheduling data pipeline activities for a specified time because of its ability to orchestrate batch jobs. Airflow can be helpful in scenarios when it's necessary to backup DevOps tasks and store the results into a Hadoop cluster after a Spark job runs. PREVIOUS NEXT <

Banking 52

Banking Scala Machine Learning Hadoop 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

Knowledge Hut

MAY 23, 2024

Top 25 Data Science Tools to Use in 2024 Data science tools are application software or frameworks that help data science professionals to perform various data science tasks like analysis, cleansing, visualization, mining, reporting, and filtering of data. Programming Language-driven Tools 9.

Data Science 52

Data Science MongoDB Programming Language Hadoop 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

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.

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Big Data Certification Hadoop Big Data Skills 40

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

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

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

ProjectPro

NOVEMBER 22, 2021

It's easier to use Python's expressiveness to modify data in tabular format, thanks to PySpark's DataFrame API architecture. Apart from this, Runtastic also relies upon PySpark for their Big Data sanity checks. This enables them to integrate Spark's performant parallel computing with normal Python unit testing.

Hadoop 52

Hadoop Python Datasets Metadata 52

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. Understand the importance of Qubole in powering up Hadoop and Notebooks.

Data Engineering 52

Data Engineering Data Engineer Coding Project 52

Knowledge Hut

JUNE 23, 2023

You should be well-versed in Python and R, which are beneficial in various data-related operations. Apache Hadoop-based analytics to compute distributed processing and storage against datasets. Machine learning will link your work with data scientists, assisting them with statistical analysis and modeling. What is HDFS?

Data Engineering 52

Data Engineering Data Engineer Engineering NoSQL 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

Knowledge Hut

NOVEMBER 17, 2023

The data engineers are responsible for creating conversational chatbots with the Azure Bot Service and automating metric calculations using the Azure Metrics Advisor. Data engineers must know data management fundamentals, programming languages like Python and Java, cloud computing and have practical knowledge on data technology.

Data Engineering 52

Data Engineering Data Engineer Engineering Scala 52

Knowledge Hut

NOVEMBER 2, 2023

Data Aggregation Working with a sample of big data allows you to investigate real-time data processing, big data project design, and data flow. Learn how to aggregate real-time data using several big data tools like Kafka, Zookeeper, Spark, HBase, and Hadoop.

Data Engineering 52

Data Engineering Data Engineer Project Coding 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

Knowledge Hut

MARCH 5, 2024

Let us look at some of the functions of Data Engineers: They formulate data flows and pipelines Data Engineers create structures and storage databases to store the accumulated data, which requires them to be adept at core technical skills, like design, scripting, automation, programming, big data tools , etc.

Data Engineering 52

Data Engineering Data Engineer Engineering Education 52

ProjectPro

FEBRUARY 16, 2023

This Spark book will teach you the spark application architecture , how to develop Spark applications in Scala and Python, and RDD, SparkSQL, and APIs. The book also contains some real-world applications, including a data pipeline for processing NASA satellite data.

Big Data 52

Big Data Machine Learning Scala Hadoop 52

ProjectPro

JULY 27, 2021

If you have an interview for a data engineer role coming up, here are some data engineer interview questions and answers based on the skillset required that you can refer to help nail your future data engineer interviews. A data warehouse can contain unstructured data too. Briefly define COSHH.

Data Engineering 40

Data Engineering Data Engineer Engineering Hadoop 40

Databand.ai

DECEMBER 13, 2022

Currently, Charles works at PitchBook Data and he holds degrees in Algorithms, Network, Computer Architecture, and Python Programming from Bradfield School of Computer Science and Bellevue College Continuing Education. On LinkedIn, he focuses largely on Spark, Hadoop, big data, big data engineering, and data engineering.

Data Engineering 52

Data Engineering Data Engineer Engineering AWS 52

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

ProjectPro

FEBRUARY 24, 2016

3) Data Scientist Salary – By Top Industry Data science salaries depend a lot on having experience and the specific skills desired by employers. Still, the job role of a data scientist has now also filtered down to non-tech companies like GAP, Nike, Neiman Marcus, Clorox, and Walmart. Start working on them today!

Hadoop 40

Hadoop Data Science Computer Science R (Programming) 40

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

JULY 21, 2021

However, if you're here to choose between Kafka vs. RabbitMQ, we would like to tell you this might not be the right question to ask because each of these big data tools excels with its architectural features, and one can make a decision as to which is the best based on the business use case. What is Kafka? Spring, Swift.

Kafka 52

Kafka Big Data Java Architecture 52

ProjectPro

AUGUST 11, 2021

Is Snowflake a data lake or data warehouse? Is Hadoop a data lake or data warehouse? The data captured by a data lake does not necessarily have to be of immediate use but may be stored in the data lake for future use. Recommended Reading: Is Hadoop Going To Replace Data Warehouse?

Data Lake 52

Data Lake Data Warehouse Cloud Hadoop 52

Knowledge Hut

JUNE 20, 2023

Languages Python, SQL, Java, Scala R, C++, Java Script, and Python Tools Kafka, Tableau, Snowflake, etc. Skills A data engineer should have good programming and analytical skills with big data knowledge. The ML engineers act as a bridge between software engineering and data science.

Machine Learning 52

Machine Learning Data Engineering Data Engineer Engineering 52