Knowledge Hut

APRIL 25, 2023

Strong programming skills: Data engineers should have a good grasp of programming languages like Python, Java, or Scala, which are commonly used in data engineering. Data processing: Data engineers should know data processing frameworks like Apache Spark, Hadoop, or Kafka, which help process and analyze data at scale.

Data Engineering 52

Data Engineering Data Engineer Engineering Google Cloud 52

Data Science Blog: Data Engineering

JULY 4, 2022

Introduction Spark’s aim is to create a new framework that was optimized for quick iterative processing, such as machine learning and interactive data analysis while retaining Hadoop MapReduce’s scalability and fault-tolerant. Apache Spark is an open-source distributed system for big data workforces.

Hadoop 52

Hadoop Big Data Datasets Scala 52

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. as a job requirement.

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Hadoop Certification Big Data Scala 40

Data Engineering Podcast

DECEMBER 9, 2018

With the large array of capabilities, and the complexity of the underlying system, it can be difficult to understand how to get started using it. Contact Info @jgperrin on Twitter Blog Parting Question From your perspective, what is the biggest gap in the tooling or technology for data management today?

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Scala MySQL Kafka Hadoop 100

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. It’s raining jobs for Hadoop skills in India.

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Hadoop Big Data Skills Recruitment NoSQL 40

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.); Problem-solving skills.

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Data Architect Certification Generalist Big Data 87

Knowledge Hut

SEPTEMBER 26, 2023

We should also be familiar with programming languages like Python, SQL, and Scala as well as big data technologies like HDFS , Spark, and Hive. Data needs to be extracted from a variety of sources, transformed, and loaded into the storage systems of businesses. ETL activities are also the responsibility of data engineers.

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Certification Data Engineering Data Engineer Engineering 52

ProjectPro

FEBRUARY 16, 2023

Apache Spark is an open-source, distributed computing system for big data processing and analytics. Whether you're looking to expand your knowledge or get a head start on a big data project, our blog has got you covered. The book also covers additional big data tools such as Hive, HBase, and Hadoop for a better understanding.

Big Data 52

Big Data Scala Machine Learning Hadoop 52

ProjectPro

FEBRUARY 21, 2023

Whether you are just starting your career as a Data Engineer or looking to take the next step, this blog will walk you through the most valuable data engineering certifications and help you make an informed decision about which one to pursue. The certification gives you the technical know-how to work with cloud computing systems.

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Certification Data Engineering Data Engineer Engineering 52

ProjectPro

JUNE 17, 2016

” We hope that this blog post will solve all your queries related to crafting a winning LinkedIn profile. You will need a complete 100% LinkedIn profile overhaul to land a top gig as a Hadoop Developer , Hadoop Administrator, Data Scientist or any other big data job role. that are usually not present in a resume.

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Hadoop Recruitment Big Data NoSQL 40

Databand.ai

DECEMBER 13, 2022

He has deep expertise in distributed systems, data engineering, API design, data integration from multiple sources, and machine learning. Deepak regularly shares blog content and similar advice on LinkedIn. On LinkedIn, he focuses largely on Spark, Hadoop, big data, big data engineering, and data engineering.

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Data Engineering Data Engineer Engineering AWS 52

Knowledge Hut

SEPTEMBER 29, 2023

This blog aims to answer these questions, providing a straightforward and professional insight into the world of Azure Data Engineering. By combining data from various structured and unstructured data systems into structures, Microsoft Azure Data Engineers will be able to create analytics solutions.

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Certification Data Engineering Data Engineer Engineering 52

ProjectPro

JUNE 18, 2021

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. Apache Mahout: Apache Mahout is a distributed linear algebra framework written in Java and Scala. It is built on Apache Hadoop MapReduce.

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Java Data Science Python Programming Language 52

phData: Data Engineering

JULY 12, 2022

Traditionally, if a company wanted to model some data, there were two types of resources available that could accomplish this: data engineers or data analysts. However, the approach that a data engineer would take to model data vs. a data analyst looks very different. How you do this will depend on your specific dbt setup.

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Data Engineering Data Engineer SQL Data 52

Knowledge Hut

JANUARY 18, 2024

Get to know more about measures of dispersion through our blogs. Hadoop This open-source batch-processing framework can be used for the distributed storage and processing of big data sets. There are four main modules within Hadoop. Hadoop Common is where the libraries and utilities needed by other Hadoop modules reside.

Data Process 52

Data Process Process Hadoop Scala 52

Knowledge Hut

DECEMBER 26, 2023

They are required to have deep knowledge of distributed systems and computer science. Building data systems and pipelines Data pipelines refer to the design systems used to capture, clean, transform and route data to different destination systems, which data scientists can later use to analyze and gain information.

Data Engineering 98

Data Engineering Data Engineer Engineering Pipeline-centric 98

Pinterest Engineering

JULY 25, 2023

In this post, we focus on how we enhanced and extended Monarch , Pinterest’s Hadoop based batch processing system, with FGAC capabilities. When building an alternative solution, we shifted our focus from a host-centric system to one that focuses on access control on a per-user basis. We achieved this by creating LDAP groups.

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Big Data Accessible Accessibility Hadoop 95

Edureka

FEBRUARY 9, 2023

Azure Data Engineering is a rapidly growing field that involves designing, building, and maintaining data processing systems using Microsoft Azure technologies. Whether you are a seasoned professional or just starting your career in Azure Data Engineering, this blog will provide you with the tips and tricks you need to craft a winning resume.

Data Engineering 52

Data Engineering Data Engineer Engineering Amazon Web Services 52

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. Confused Hadoop vs. Spark – Which One is Better?

Hadoop 40

Hadoop Scala Machine Learning Java 40

Knowledge Hut

NOVEMBER 17, 2023

It also explains how you can create hybrid systems using AWS components. This certification covers the following things- Working on network technologies in AWS Creating secure applications Deploying hybrid systems. Implementing and managing the CD systems. Setting up, monitoring, and managing the logging systems on AWS.

AWS 52

AWS Data Science Certification Amazon Web Services 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

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. Hence, there is no single point of failure.

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Kafka Systems Hadoop BI 40

AltexSoft

OCTOBER 21, 2022

The technology was written in Java and Scala in LinkedIn to solve the internal problem of managing continuous data flows. As Jay Kreps , the original author of the streaming solution, put it, “ I thought that since Kafka was a system optimized for writing, using a writer’s name would make sense. Practically, nothing.

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Kafka Hadoop ETL Tools Big Data 93

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. Typically, data processing is done using frameworks such as Hadoop, Spark, MapReduce, Flink, and Pig, to mention a few. RDBMS stores structured data.

Big Data 52

Big Data Hadoop AWS Relational Database 52

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. They should also be mindful of how data systems have evolved and benefited data professionals.

Data Engineering 52

Data Engineering Data Engineer Engineering Scala 52

ProjectPro

NOVEMBER 22, 2021

PySpark runs a completely compatible Python instance on the Spark driver (where the task was launched) while maintaining access to the Scala-based Spark cluster access. Although Spark was originally created in Scala, the Spark Community has published a new tool called PySpark, which allows Python to be used with Spark.

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Hadoop Python Datasets Metadata 52

ProjectPro

JANUARY 25, 2022

Here’s What You Need to Know About PySpark This blog will take you through the basics of PySpark, the PySpark architecture, and a few popular PySpark libraries , among other things. Multi-Language Support PySpark platform is compatible with various programming languages, including Scala, Java, Python, and R.

Big Data 52

Big Data Data Process Process Kafka 52

Zalando Engineering

NOVEMBER 22, 2017

Using Apache and the Kafka Streams API with Scala on AWS for real-time fashion insights This piece was originally published on confluent.io And why not use tools like Apache Hadoop or Apache Spark that provide implementations of MapReduce?” If not, there are plenty of tutorials , blog posts and examples available.

Kafka 40

Kafka Scala Hadoop Algorithm 40

Big Data Tools

SEPTEMBER 6, 2021

Support for Scala 2.12 There are a couple of comparisons on the internet, like this one , but it’s worth mentioning that they are quite old and both systems have changed a lot, so if you’re aware of more recent comparisons, please let me know! Follow JetBrains Big Data Tools on Twitter and subscribe to our blog for more news!

Data Engineering 52

Data Engineering Data Engineer Engineering Big Data Tools 52

Big Data Tools

SEPTEMBER 6, 2021

Support for Scala 2.12 There are a couple of comparisons on the internet, like this one , but it’s worth mentioning that they are quite old and both systems have changed a lot, so if you’re aware of more recent comparisons, please let me know! Follow JetBrains Big Data Tools on Twitter and subscribe to our blog for more news!

Data Engineering 40

Data Engineering Data Engineer Engineering Big Data Tools 40

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. System for querying online databases.

Data Engineering 40

Data Engineering Data Engineer Engineering Hadoop 40

U-Next

AUGUST 3, 2022

Now that well-known technologies like Hadoop and others have resolved the storage issue, the emphasis is on information processing. A Data Scientist is skilled in concluding data using various systems, procedures, and algorithms. That’s why our blog focuses on Data Scientist roles and responsibilities in India.

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Retail Data Science Computer Science Entertainment 52

ProjectPro

DECEMBER 10, 2021

This blog covers the top 50 most frequently asked Azure interview questions and answers. Well, this Azure interview questions and answers blog will help you land your dream cloud computing job role! It will provide you with a good sense of what areas you should focus on as you prepare for your next Azure interview.

BI 52

BI Cloud Computing SQL Database 52

ProjectPro

AUGUST 26, 2016

What follows is a blog post on partitioning data in apache spark and how it helps speed up processing big data sets. Learn to Manage and Schedule Hadoop Jobs with Oozie Workflow Scheduler by Working on Hands-On Oozie Projects What is a partition in Spark? 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 provides data warehousing, processing, and analytical solutions that are significantly quicker, simpler to use, and more adaptable than traditional systems.

Architecture 52

Architecture IT Data Warehouse Amazon Web Services 52

Airbnb Tech

MARCH 3, 2020

Hive partitions are represented, effectively, as directories of files on a distributed file system. repartition(5*365, $”date”, $”rand”) Under the hood, Scala will construct a key that contains both your date, and your random factor, something like (<date>, <0–4>). However, there is a cost. Airbnb is hiring!

Datasets 52

Datasets Bytes Scala Data 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.

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Kafka Bytes Big Data Java 40