Big Data Tools

MAY 19, 2022

YuniKorn 1.0.0 – If you’ve been anxiously waiting for Kubernetes to come to data engineering, your wishes have been granted. A top-level ASF project, YuniKorn 1.0 is a scheduler targeting big data and ML workflows, and of course, it is cloud-native. That wraps up April’s Data Engineering Annotated.

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Big Data Tools

OCTOBER 5, 2021

Camel K 1.6.0 – This is not a huge release of Camel K, but I just wanted to share this awesome project, which is not widely known inside my bubble. That wraps up September’s Data Engineering Annotated. Follow JetBrains Big Data Tools on Twitter and subscribe to our blog for more news!

Data Engineer 52

Data Engineer Data Engineering Engineering Big Data Tools 52

Big Data Tools

OCTOBER 5, 2021

Camel K 1.6.0 – This is not a huge release of Camel K, but I just wanted to share this awesome project, which is not widely known inside my bubble. That wraps up September’s Data Engineering Annotated. Follow JetBrains Big Data Tools on Twitter and subscribe to our blog for more news!

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Data Engineer Data Engineering Engineering Big Data Tools 52

Big Data Tools

OCTOBER 10, 2022

This time I learned about Brooklin, a LinkedIn service for streaming data in a heterogeneous environment. The official GitHub for the project says that it is characterized by high reliability and throughput, claiming that Brooklin can run hundreds of streaming pipelines simultaneously. Nevertheless, the project looks very interesting.

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Data Engineer Data Engineering Engineering Kafka 52

Big Data Tools

OCTOBER 10, 2022

This time I learned about Brooklin, a LinkedIn service for streaming data in a heterogeneous environment. The official GitHub for the project says that it is characterized by high reliability and throughput, claiming that Brooklin can run hundreds of streaming pipelines simultaneously. Nevertheless, the project looks very interesting.

Data Engineer 52

Data Engineer Data Engineering Engineering Kafka 52

Big Data Tools

JULY 13, 2022

ShardingSphere – One more thing I learned while preparing this installment is that there is an entire top-level project to convert traditional databases into distributed ones. InLong 1.2.0 – This is one of the more interesting projects I hadn’t already heard of before preparing this installment.

Data Engineer 52

Data Engineer Data Engineering Engineering Kafka 52

Big Data Tools

JULY 13, 2022

ShardingSphere – One more thing I learned while preparing this installment is that there is an entire top-level project to convert traditional databases into distributed ones. InLong 1.2.0 – This is one of the more interesting projects I hadn’t already heard of before preparing this installment.

Data Engineer 52

Data Engineer Data Engineering Engineering Kafka 52

Big Data Tools

NOVEMBER 9, 2022

One of the great things about ASF projects is that they usually work nicely together, and this is no exception. Apache Age 1.1.0 – Sometimes, we data engineers do work that doesn’t deal directly with big data. That wraps up October’s Data Engineering Annotated. For example, the current 1.1.3

Data Engineer 52

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Big Data Tools

NOVEMBER 9, 2022

One of the great things about ASF projects is that they usually work nicely together, and this is no exception. Apache Age 1.1.0 – Sometimes, we data engineers do work that doesn’t deal directly with big data. That wraps up October’s Data Engineering Annotated. For example, the current 1.1.3

Data Engineer 52

Data Engineer Data Engineering Engineering Big Data Tools 52

ProjectPro

SEPTEMBER 26, 2021

You can also become a self-taught big data engineer by working on real-time hands-on big data projects on database architecture, data science, or data engineering to qualify for a big data engineer job. Big Data technologies are now being used in multiple industries and business sectors.

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Big Data Data Engineer Data Engineering Engineering 52

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. Explore SQL Database Projects to Add them to Your Data Engineer Resume.

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Hadoop Big Data Tools Java SQL 52

ProjectPro

JANUARY 19, 2022

Data Engineer: Job Growth in Future What do Data Engineers do? 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 Engineer 52

Data Engineer Data Engineering Engineering Amazon Web Services 52

ProjectPro

FEBRUARY 16, 2023

Gain expertise in big data tools and frameworks with exciting big data projects for students. The Splunk architecture is made up of three major components: Image Source : docs.splunk.com/Documentation Splunk Forwarder: Splunk forwarder sends real-time log data from remote sources to the indexers.

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ProjectPro

FEBRUARY 8, 2023

In fact, 95% of organizations acknowledge the need to manage unstructured raw data since it is challenging and expensive to manage and analyze, which makes it a major concern for most businesses. In 2023, more than 5140 businesses worldwide have started using AWS Glue as a big data tool. are also used in this project.

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ProjectPro

APRIL 1, 2016

(Source: [link] ) MapR’s James Casaletto is set to counsel about the various Hadoop technologies in the upcoming Data Summit at NYC. Dbta.com Hadoop currently has over a 100 open source projects running on the ecosystem. Hadoop adoption and production still rules the big data space. March 17, 2016. March 31, 2016.

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Hadoop BI Big Data Big Data Tools 52

WeCloudData

OCTOBER 19, 2021

Methodology In order to meet the technical requirements for recommender system development as well as other emerging data needs, the client has built a mature data pipeline through the use of cloud platforms like AWS in order to store user clickstream data, and Databricks in order to process the raw data.

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WeCloudData

OCTOBER 19, 2021

Methodology In order to meet the technical requirements for recommender system development as well as other emerging data needs, the client has built a mature data pipeline through the use of cloud platforms like AWS in order to store user clickstream data, and Databricks in order to process the raw data.

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Consulting Systems NoSQL Raw Data 52

ProjectPro

FEBRUARY 25, 2022

It is a beautiful technique for implementing data science projects that allow businesses to increase their projects’ efficiency minimize the risk of introducing machine learning, artificial intelligence, and data-science-related technologies. These steps are: Cleaning the data and handling different file formats.

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Deep Learning Algorithm Machine Learning Data Science 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!

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Big Data Data Engineer Data Engineering Engineering 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. These platforms provide out of the box big data tools and also help in managing deployments.

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Big Data Certification Hadoop Kafka 52

ProjectPro

JANUARY 24, 2023

Such features make Azure data flow a highly popular tool among data engineers. This blog discusses the Azure Data Factory data flow, its types, and some useful transformations the tool offers to help you scale up your data engineering projects. PREVIOUS NEXT <

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ProjectPro

FEBRUARY 16, 2023

Apache Spark is an open-source, distributed computing system for big data processing and analytics. It has become a popular big data and machine learning analytics engine. Today, the Apache Spark project has over 1,000 contributors from over 250 companies worldwide.

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ProjectPro

AUGUST 9, 2022

ETL pipelines for batch data processing can also use airflow. Airflow functions effectively on pipelines that perform data transformations or receive data from numerous sources. Learn more about Big Data Tools and Technologies with Innovative and Exciting Big Data Projects Examples.

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Banking Scala Hadoop Machine Learning 52

Edureka

FEBRUARY 9, 2023

Proficiency in programming languages: Knowledge of programming languages such as Python and SQL is essential for Azure Data Engineers. Familiarity with cloud-based analytics and big data tools: Experience with cloud-based analytics and big data tools such as Apache Spark, Apache Hive, and Apache Storm is highly desirable.

Data Engineer 52

Data Engineer Data Engineering Engineering Amazon Web Services 52

ProjectPro

FEBRUARY 6, 2023

You can build efficient and accurate models that convey the content and meaning of a dataset if you are skilled in data analysis. Learn more about Big Data Tools and Technologies with Innovative and Exciting Big Data Projects Examples. PREVIOUS NEXT <

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Data Analytics Engineering IT Computer Science 52

ProjectPro

JANUARY 27, 2023

Data visualization, with roots in statistics, psychology, and computer science, provides practitioners in practically every sector with a consistent approach to convey findings from original research, big data, learning analytics, and more.

Entertainment 52

Entertainment Big Data Python Computer Science 52

ProjectPro

JANUARY 24, 2023

With a lot of similarities between both, but there are some interesting differences too, and thus, professionals often consider comparing them so they can choose the right ETL tool for their projects. Learn more about Big Data Tools and Technologies with Innovative and Exciting Big Data Projects Examples.

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AWS Cloud Amazon Web Services ETL Tools 52

ProjectPro

APRIL 27, 2016

Innovations on Big Data technologies and Hadoop i.e. the Hadoop big data tools , let you pick the right ingredients from the data-store, organise them, and mix them. Now, thanks to a number of open source big data technology innovations, Hadoop implementation has become much more affordable.

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Hadoop Big Data Technology Kafka 40

Data Science Blog: Data Engineering

JULY 4, 2022

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. Begin with a small sample of the data. 5 best practices of Apache Spark 1.

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ProjectPro

JANUARY 20, 2016

One can easily learn and code on new big data technologies by just deep diving into any of the Apache projects and other big data software offerings. It is very difficult to master every tool, technology or programming language. Using Hive SQL professionals can use Hadoop like a data warehouse.

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Hadoop SQL Java Big Data 52

AltexSoft

FEBRUARY 11, 2023

Hands-on experience with a wide range of data-related technologies The daily tasks and duties of a data architect include close coordination with data engineers and data scientists. This skill helps data architects manage multiple projects simultaneously, and prioritize their workload. Multitasking.

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Data Architect Certification Generalist Big Data 87

Knowledge Hut

DECEMBER 26, 2023

According to the World Economic Forum, the amount of data generated per day will reach 463 exabytes (1 exabyte = 10 9 gigabytes) globally by the year 2025. Thus, almost every organization has access to large volumes of rich data and needs “experts” who can generate insights from this rich data.

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ProjectPro

NOVEMBER 24, 2021

After that, we will give you the statistics of the number of jobs in data science to further motivate your inclination towards data science. Lastly, we will present you with one of the best resources for smoothening your learning data science journey. Table of Contents Is Data Science Hard to learn? is considered a bonus.

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ProjectPro

JANUARY 24, 2023

It is a popular ETL tool well-suited for big data environments and extensively used by data engineers today to build and maintain data pipelines with minimal effort. Another probable solution is using in-built support for data redaction and masking provided by Glue to redact or mask the sensitive data.

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Knowledge Hut

JUNE 23, 2023

You can simultaneously work on your skills, knowledge, and experience and launch your career in data engineering. Soft Skills You should have the right verbal and written communication skills required for a data engineer. Soft Skills You should have the right verbal and written communication skills required for a data engineer.

Data Engineer 52

Data Engineer Data Engineering Engineering NoSQL 52

ProjectPro

DECEMBER 7, 2021

This process enables quick data analysis and consistent data quality, crucial for generating quality insights through data analytics or building machine learning models. Build a Job Winning Data Engineer Portfolio with Solved End-to-End Big Data Projects What is an ETL Data Pipeline?

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Data Pipeline Architecture Kafka AWS 52

ProjectPro

FEBRUARY 16, 2023

Practicing these interview questions is not enough if you are willing to master Splunk as a big data tool. Get your hands dirty by practicing some advanced-level Splunk projects if you want to get a step ahead of your competitors. PREVIOUS NEXT <

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