Cloudera

JUNE 28, 2022

In a previous blog of this series, Turning Streams Into Data Products , we talked about the increased need for reducing the latency between data generation/ingestion and producing analytical results and insights from this data. This blog will be published in two parts. This is what we call the first-mile problem. The use case.

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Process Kafka SQL Machine Learning 85

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 Scala 52

Zalando Engineering

MAY 7, 2018

Real-time joins in event-driven microservices As discussed in my previous blog post , Kafka is one of the key components of our event-driven microservice architecture in Zalando’s Smart Product Platform. This is where Kafka API comes in handy! We use it for sequencing events and building an aggregated view of data hierarchies.

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Kafka Scala Java Media 40

Snowflake

AUGUST 16, 2023

Read our Summit recap blog for highlights across industries or watch Summit sessions now on-demand. The new Kafka connector, built with Snowpipe Streaming , now supports schema detection and evolution. Learn more about ML-Powered Functions in our blog or in Snowflake documentation. If you missed out, not to worry!

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Scala Transportation Kafka Data Lake 52

Data Engineering Podcast

DECEMBER 9, 2018

How does it compare to some of the other streaming frameworks such as Flink, Kafka, or Storm? 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? What are some of the problems that Spark is uniquely suited to address?

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Scala MySQL Kafka Hadoop 100

Cloudera

APRIL 20, 2021

The developers must understand lower-level languages like Java and Scala and be familiar with the streaming APIs. Streamings Messaging , powered by Apache Kafka, buffers and scales massive volumes of data streams for streaming analytics. appeared first on Cloudera Blog. Take the next step and learn more: Cloudera DataFlow.

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Hospitality Kafka Retail Data Ingestion 95

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?

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Kafka Bytes Big Data Java 40

Rock the JVM

AUGUST 9, 2022

He’s a senior developer, who has been working with Scala for a number of years. scala> ll.tail.head val res3: Int = 2 scala> ll val res4: scala.collection.immutable.LazyList[Int] = LazyList ( 1, 2, ) We can see that the first two elements now clearly show! Mark has a lot to share, and this article is a comprehensive piece.

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Scala Bytes Kafka Programming 40

Knowledge Hut

APRIL 25, 2024

In this blog post, we will discuss such technologies. Spark provides an interactive shell that can be used for ad-hoc data analysis, as well as APIs for programming in Java, Python, and Scala. In general, Hadoop and Spark are good choices for batch processing, while Kafka and Storm are better suited for streaming applications.

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Big Data Technology NoSQL Hadoop 98

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.);

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Data Architect Certification Generalist Big Data 87

Big Data Tools

MAY 19, 2022

The team has also added the ability to run Scala for the SparkSQL engine. Kafka was the first, and soon enough, everybody was trying to grab their own share of the market. Kafka: Shareable State Stores – This improvement in Kafka looks very interesting. it supports two more SQL engines, Flink and Trino/Presto.

Data Engineering 52

Data Engineering Data Engineer Engineering Big Data Tools 52

Big Data Tools

MAY 19, 2022

The team has also added the ability to run Scala for the SparkSQL engine. Kafka was the first, and soon enough, everybody was trying to grab their own share of the market. Kafka: Shareable State Stores – This improvement in Kafka looks very interesting. it supports two more SQL engines, Flink and Trino/Presto.

Data Engineering 52

Data Engineering Data Engineer Engineering Big Data Tools 52

ProjectPro

JANUARY 24, 2023

This blog will discuss some popular AWS Glue interview questions and answers to help you strengthen your AWS Glue knowledge and ace your big data engineer interview. Glue automatically creates Scala or Python code for your ETL tasks, which you can modify using tools you are already comfortable with.

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AWS Data Lake ETL Tools Scala 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 Engineering 52

Data Engineering Data Engineer Engineering Google Cloud 52

ProjectPro

JUNE 28, 2016

Apache Kafka is breaking barriers and eliminating the slow batch processing method that is used by Hadoop. This is just one of the reasons why Apache Kafka was developed in LinkedIn. Kafka was mainly developed to make working with Hadoop easier. Apache Kafka attempts to solve this issue. Where is Kafka heading to?

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Kafka Systems Hadoop BI 40

Rockset

MARCH 27, 2023

This blog will clarify some conceptual differences, provide an overview of popular tools, and offer a framework for deciding which tools are best suited for specific technical requirements. It was developed by the Apache Software Foundation and is written in Java and Scala. It’s easier to talk about the different approaches they take.

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Database Process Scala SQL 52

Snowflake

MARCH 30, 2023

In this blog post we will use what we have learned in this Data Vault blog series to support the data preparation requirements for ML on Snowflake, using Data Vault patterns for modeling and automation. Based on Tecton blog So is this similar to data engineering pipelines into a data lake/warehouse?

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Engineering Raw Data Data Science Scala 83

Big Data Tools

SEPTEMBER 6, 2021

rc0 – If you like to try new releases of popular products, the time has come to test Kafka 3 and report any issues you find on your staging environment! Support for Scala 2.12 But while it is a tool for streaming data from DBs to Kafka, it cannot cover all CDC needs or scenarios. How cool is that?

Data Engineering 52

Data Engineering Data Engineer Engineering Big Data Tools 52

Big Data Tools

AUGUST 3, 2021

Apache Spark already has two official APIs for JVM – Scala and Java – but we’re hoping the Kotlin API will be useful as well, as we’ve introduced several unique features. Rack-aware Kafka streams – Kafka has already been rack-aware for a while, which gives its users more confidence. Articles This section is about inspiration.

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Data Engineering Data Engineer Engineering Big Data Tools 52

Big Data Tools

AUGUST 3, 2021

Apache Spark already has two official APIs for JVM – Scala and Java – but we’re hoping the Kotlin API will be useful as well, as we’ve introduced several unique features. Rack-aware Kafka streams – Kafka has already been rack-aware for a while, which gives its users more confidence. Articles This section is about inspiration.

Data Engineering 52

Data Engineering Data Engineer Engineering Big Data Tools 52

Edureka

FEBRUARY 9, 2023

This blog will guide you in creating an effective Azure Data Engineer resume that highlights your skills, experience and achievements in the field, and helps you stand out in a competitive job market. Write UDFs in Scala and PySpark to meet specific business requirements.

Data Engineering 52

Data Engineering Data Engineer Engineering Amazon Web Services 52

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. Programming languages like Python, Java, or Scala require a solid understanding of data engineers. The above blog has demonstrated a clear path to becoming a data engineer.

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Certification Data Engineering Data Engineer Engineering 52

Big Data Tools

NOVEMBER 8, 2021

Also, this release is compatible with Scala 2.13 – the latest stable language release before the 3.x Kafka: Allow configuring num.network.threads per listener – Sometimes you find yourself in a situation with Kafka brokers where some listeners are less active than others (and are in some sense more equal than others).

Data Engineering 52

Data Engineering Data Engineer Engineering Big Data Tools 52

Big Data Tools

NOVEMBER 8, 2021

Also, this release is compatible with Scala 2.13 – the latest stable language release before the 3.x Kafka: Allow configuring num.network.threads per listener – Sometimes you find yourself in a situation with Kafka brokers where some listeners are less active than others (and are in some sense more equal than others).

Data Engineering 52

Data Engineering Data Engineer Engineering Big Data Tools 52

Knowledge Hut

APRIL 25, 2023

Top Data Ingestion Tools Some of the most popular Data ingestion tools used in the industry these days are mentioned below along with their prominent features: Apache Kafka: Written in Scala and Java, it delivers data with low latency and high throughput. In this blog, we discussed how it benefits business in the long run.

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Data Ingestion Lambda Architecture Raw Data Kafka 52

Big Data Tools

SEPTEMBER 6, 2021

rc0 – If you like to try new releases of popular products, the time has come to test Kafka 3 and report any issues you find on your staging environment! Support for Scala 2.12 But while it is a tool for streaming data from DBs to Kafka, it cannot cover all CDC needs or scenarios. How cool is that?

Data Engineering 40

Data Engineering Data Engineer Engineering Big Data Tools 40

Knowledge Hut

DECEMBER 26, 2023

Finally, apart from your academic degree and extra skills, you can also learn to channel your skills practically by taking on small projects such as creating an app, writing blogs, or even exploring data analysis to gather more information. Kafka Kafka is an open-source processing software platform.

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Data Engineering Data Engineer Engineering Pipeline-centric 98

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 But wait, you said Kafka Streams? Kafka was already part of our solution, so it made sense to try to leverage that infrastructure and our experience using it.

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Kafka Scala Hadoop Algorithm 40

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. PySpark is used to process real-time data with Kafka and Streaming, and this exhibits low latency. How long does it take to learn PySpark?

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Big Data Data Process Process Kafka 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

DECEMBER 27, 2023

Blogging As a software developer, you have more knowledge than an average blogger. You can take this to your advantage and start your own website, writing blogs about software development, AI (Artificial Intelligence) and ML (Machine Learning), etc. You can also sell some websites developed and designed by you.

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Medical Programming Language Amazon Web Services Entertainment 98

Databand.ai

DECEMBER 13, 2022

Deepak regularly shares blog content and similar advice on LinkedIn. She also runs dutchengineer.org, which features a blog and newsletter full of tips for landing your dream job in data science, and offers digital courses and one-on-one mentoring for data scientists and data engineers.

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Data Engineering Data Engineer Engineering AWS 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. Spark provides built-in libraries in Java, Python, and Scala.

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Java Data Science Python Programming Language 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. Don’t worry! Why Are Data Engineering Skills In Demand? Basic understanding of Microsoft Azure.

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Certification Data Engineering Data Engineer Engineering 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. Data engineers must thoroughly understand programming languages such as Python, Java, or Scala.

Data Engineering 52

Data Engineering Data Engineer Engineering Scala 52

Airbnb Tech

AUGUST 4, 2021

In this blog post we will outline the challenges we faced while adding a massive number of data checks (i.e. Hive SQL, Spark SQL, Scala Spark, PySpark and Presto are widely used as different execution engines. As a result, each data engineering team adopted their own approach, which presented the following challenges: 1.

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Data Pipeline Data Engineering Data Engineer Data 52

Cloudera

SEPTEMBER 11, 2018

Telemetry data routed to the Cloudera Enterprise Data Hub flows into Apache Kafka. Cloudera Data Science Workbench let data scientists use R, Python, or Scala with on-demand compute and secure access to Apache Spark and Apache Impala to quickly develop or prototype new machine learning models and easily deploy them into production.

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Data Process Process Building Machine Learning 40