ProjectPro

JULY 26, 2016

Hiring managers agree that “Java is one of the most in-demand and essential skill for Hadoop jobs. But how do you get one of those hot java hadoop jobs ? You have to ace those pesky java hadoop job interviews artfully. To demonstrate your java and hadoop skills at an interview, preparation is vital.

Java 40

Java Hadoop Bytes Programming 40

Confluent

MAY 8, 2019

In anything but the smallest deployment of Apache Kafka ® , there are often going to be multiple clusters of Kafka Connect and KSQL. Kafka Connect rebalances when connectors are added/removed, and this can impact the performance of other connectors on the same cluster. Streaming data into Kafka with Kafka Connect.

Kafka 89

Kafka Management Hadoop Database 89

ProjectPro

JUNE 18, 2021

Why do data scientists prefer Python over Java? Java vs Python for Data Science- Which is better? Which has a better future: Python or Java in 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.

Java 52

Java Data Science Python Programming Language 52

Confluent

FEBRUARY 12, 2019

One of the most common integrations that people want to do with Apache Kafka ® is getting data in from a database. The existing data in a database, and any changes to that data, can be streamed into a Kafka topic. Here, I’m going to dig into one of the options available—the JDBC connector for Kafka Connect. Introduction.

Kafka 90

Kafka MySQL Bytes Java 90

ProjectPro

JULY 21, 2021

As a big data architect or a big data developer, when working with Microservices-based systems, you might often end up in a dilemma whether to use Apache Kafka or RabbitMQ for messaging. Rabbit MQ vs. Kafka - Which one is a better message broker? Table of Contents Kafka vs. RabbitMQ - An Overview What is RabbitMQ? What is Kafka?

Kafka 52

Kafka Big Data Java Architecture 52

Knowledge Hut

JANUARY 16, 2024

The following diagram shows the machine learning skills that are in demand year after year: AI - Artificial Intelligence TensorFlow Apache Kafka Data Science AWS - Amazon Web Services Image Source In the coming sections, we would be discussing each of these skills in detail and how proficient you are expected to be in them.

Machine Learning 98

Machine Learning Engineering Programming Language Algorithm 98

Knowledge Hut

APRIL 25, 2024

If you pursue the MSc big data technologies course, you will be able to specialize in topics such as Big Data Analytics, Business Analytics, Machine Learning, Hadoop and Spark technologies, Cloud Systems etc. There are a variety of big data processing technologies available, including Apache Hadoop, Apache Spark, and MongoDB.

Big Data 98

Big Data Technology Hadoop NoSQL 98

Knowledge Hut

MAY 3, 2024

The core is the distributed execution engine and the Java, Scala, and Python APIs offer a platform for distributed ETL application development. Spark installations can be done on any platform but its framework is similar to Hadoop and hence having knowledge of HDFS and YARN is highly recommended. Basic knowledge of SQL.

Scala 98

Scala Hadoop Healthcare Big Data 98

Christophe Blefari

JUNE 21, 2024

Good old data warehouses like Oracle were engine + storage, then Hadoop arrived and was almost the same you had an engine (MapReduce, Pig, Hive, Spark) and HDFS, everything in the same cluster, with data co-location. you could write the same pipeline in Java, in Scala, in Python, in SQL, etc.—with But what is doing Tabular?

Metadata 147

Metadata Data Warehouse BI Scala 147

Knowledge Hut

NOVEMBER 28, 2023

Java Big Data requires you to be proficient in multiple programming languages, and besides Python and Scala, Java is another popular language that you should be proficient in. Java can be used to build APIs and move them to destinations in the appropriate logistics of data landscapes.

Data Engineer 52

Data Engineer Data Engineering Engineering Generalist 52

AltexSoft

JULY 18, 2023

It has in-memory computing capabilities to deliver speed, a generalized execution model to support various applications, and Java, Scala, Python, and R APIs. This module can ingest live data streams from multiple sources, including Apache Kafka , Apache Flume , Amazon Kinesis , or Twitter, splitting them into discrete micro-batches.

Big Data 52

Big Data Data Process Process Hadoop 52

ProjectPro

JANUARY 2, 2018

News on Hadoop - December 2017 Apache Impala gets top-level status as open source Hadoop tool.TechTarget.com, December 1, 2017. Apache Impala puts special emphasis on high concurrency and low latency , features which have been at times eluded from Hadoop-style applications. Source : [link] ) Hadoop 3.0

Hadoop 52

Hadoop Big Data Machine Learning Datasets 52

ProjectPro

FEBRUARY 21, 2023

Python, Java, and Scala knowledge are essential for Apache Spark developers. Various high-level programming languages, including Python, Java , R, and Scala, can be used with Spark, so you must be proficient with at least one or two of them. Working knowledge of S3, Cassandra, or DynamoDB. Develop and maintain Apache Spark clusters.

Scala 52

Scala Programming Language Java Hadoop 52

ProjectPro

AUGUST 30, 2016

Bank of America has tapped into Hadoop technology to manage and analyse the large amounts of customer and transaction data that it generates. Big Data analytics and Hadoop are the heart of ‘BankAmeriDeals’ program, that provides cashback offers to bank’s credit and debit card holders. signing bonus, $68.9K

Banking 40

Banking Hadoop MySQL Big Data 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. That’s how Hadoop will make a delicious enterprise main course for a business.

Hadoop 40

Hadoop Big Data Technology Kafka 40

Data Engineering Podcast

NOVEMBER 18, 2018

How does Flink compare to other streaming engines such as Spark, Kafka, Pulsar, and Storm? How does Flink compare to other streaming engines such as Spark, Kafka, Pulsar, and Storm? Can you start by describing what Flink is and how the project got started? What are some of the primary ways that Flink is used? How is Flink architected?

Process 100

Process Google Cloud Scala Kafka 100

Knowledge Hut

SEPTEMBER 6, 2023

Programming Languages : Good command on programming languages like Python, Java, or Scala is important as it enables you to handle data and derive insights from it. Big Data Frameworks : Familiarity with popular Big Data frameworks such as Hadoop, Apache Spark, Apache Flink, or Kafka are the tools used for data processing.

Big Data 52

Big Data Certification Hadoop Kafka 52

ProjectPro

OCTOBER 15, 2014

Pig and Hive are the two key components of the Hadoop ecosystem. What does pig hadoop or hive hadoop solve? Pig hadoop and Hive hadoop have a similar goal- they are tools that ease the complexity of writing complex java MapReduce programs. Table of contents Hive vs Pig What is Big Data and Hadoop?

Hadoop 52

Hadoop Java Unstructured Data SQL 52

Cloud Academy

JANUARY 27, 2022

Some good options are Python (because of its flexibility and being able to handle many data types), as well as Java, Scala, and Go. Apache Kafka Amazon MSK and Kafka Under the Hood Apache Kafka is an open-source streaming platform. This learning path covers the basics of Java, including syntax, functions, and modules.

Certification 52

Certification Data Engineer Data Engineering Engineering 52

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 Engineer 52

Data Engineer Data Engineering Engineering Google Cloud 52

ProjectPro

JUNE 29, 2021

Your search for Apache Kafka interview questions ends right here! Let us now dive directly into the Apache Kafka interview questions and answers and help you get started with your Big Data interview preparation! How to study for Kafka interview? What is Kafka used for? What are main APIs of Kafka?

Kafka 40

Kafka Bytes Big Data Java 40

ProjectPro

APRIL 11, 2016

Let’s face it; the Hadoop Interview process is a tough cookie to crumble. If you are planning to pursue a job in the big data domain as a Hadoop developer , you should be prepared for both open-ended interview questions and unique technical hadoop interview questions asked by the hiring managers at top tech firms.

Hadoop 40

Hadoop Big Data Java Unstructured Data 40

ProjectPro

JUNE 29, 2016

As open source technologies gain popularity at a rapid pace, professionals who can upgrade their skillset by learning fresh technologies like Hadoop, Spark, NoSQL, etc. From this, it is evident that the global hadoop job market is on an exponential rise with many professionals eager to tap their learning skills on Hadoop technology.

Hadoop 40

Hadoop Big Data Banking Consulting 40

Big Data Tools

FEBRUARY 9, 2022

Ambari is dead — This came as quite a shock to me, and it looks like free distributions of Hadoop do not exist anymore. It is almost impossible to set up a production-grade Hadoop without managers like Ambari. Furthermore, its interface is not web, but rather a desktop application written in Java (but with a native look and feel).

Data Engineer 52

Data Engineer Data Engineering Engineering Big Data Tools 52

Big Data Tools

FEBRUARY 9, 2022

Ambari is dead — This came as quite a shock to me, and it looks like free distributions of Hadoop do not exist anymore. It is almost impossible to set up a production-grade Hadoop without managers like Ambari. Furthermore, its interface is not web, but rather a desktop application written in Java (but with a native look and feel).

Data Engineer 52

Data Engineer Data Engineering Engineering Big Data Tools 52

Pipeline Data Engineering

AUGUST 2, 2021

Welcome to Snowpark: New Data Programmability for the Data Cloud Isaac Kunen, Senior Product Manager, Snowflake Two words: Java functions. Gently Down the Stream Mitch Seymour, Illustrator, Author, Founder, Round Robin Publishing A gentle introduction to Apache Kafka. What's Kafka and what does Confluent do?

Kafka 40

Kafka Hadoop Java Datasets 40

Ascend.io

SEPTEMBER 14, 2023

Read More: Data Automation Engineer: Skills, Workflow, and Business Impact Python for Data Engineering Versus SQL, Java, and Scala When diving into the domain of data engineering, understanding the strengths and weaknesses of your chosen programming language is essential. show() So How Much Python Is Required for a Data Engineer?

Data Engineer 52

Data Engineer Data Engineering Python Engineering 52

ProjectPro

NOVEMBER 14, 2015

Apache Hadoop and Apache Spark fulfill this need as is quite evident from the various projects that these two frameworks are getting better at faster data storage and analysis. These Apache Hadoop projects are mostly into migration, integration, scalability, data analytics, and streaming analysis. Table of Contents Why Apache Hadoop?

Hadoop 52

Hadoop Project Big Data Healthcare 52

ProjectPro

MARCH 10, 2016

Table of Contents LinkedIn Hadoop and Big Data Analytics The Big Data Ecosystem at LinkedIn LinkedIn Big Data Products 1) People You May Know 2) Skill Endorsements 3) Jobs You May Be Interested In 4) News Feed Updates Wondering how LinkedIn keeps up with your job preferences, your connection suggestions and stories you prefer to read?

Hadoop 40

Hadoop Big Data Data Analytics Big Data Ecosystem 40

Data Engineering Podcast

DECEMBER 30, 2019

To help other people find the show please leave a review on iTunes and tell your friends and co-workers Join the community in the new Zulip chat workspace at dataengineeringpodcast.com/chat Links DataDog Hadoop Hive Yarn Chef SRE == Site Reliability Engineer Application Performance Management (APM) Apache Kafka RocksDB Cassandra Apache Parquet data (..)

Process 100

Process Building Hadoop Java 100

Monte Carlo

OCTOBER 31, 2024

In addition, AI data engineers should be familiar with programming languages such as Python , Java, Scala, and more for data pipeline, data lineage, and AI model development.

Data Engineer 52

Data Engineer Data Engineering Engineering Unstructured Data 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

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. This means that the Impala authors had to go above and beyond to integrate it with different Java/Python-oriented systems. Of course, the main topic is data streaming.

Data Engineer 52

Data Engineer Data Engineering 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. This means that the Impala authors had to go above and beyond to integrate it with different Java/Python-oriented systems. Of course, the main topic is data streaming.

Data Engineer 52

Data Engineer Data Engineering Engineering Kafka 52

ProjectPro

MARCH 23, 2015

In one of our previous articles we had discussed about Hadoop 2.0 YARN framework and how the responsibility of managing the Hadoop cluster is shifting from MapReduce towards YARN. In one of our previous articles we had discussed about Hadoop 2.0 Here we will highlight the feature - high availability in Hadoop 2.0

Hadoop 40

Hadoop Big Data Architecture Metadata 40

Knowledge Hut

NOVEMBER 17, 2023

Data engineers must know data management fundamentals, programming languages like Python and Java, cloud computing and have practical knowledge on data technology. Programming and Scripting Skills Building data processing pipelines requires knowledge of and experience with coding in programming languages like Python, Scala, or Java.

Data Engineer 52

Data Engineer Data Engineering Engineering Scala 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. What is the difference between Hadoop and Traditional RDBMS?

Hadoop 40

Hadoop Big Data Metadata Java 40