Knowledge Hut

SEPTEMBER 29, 2023

As an expert in the dynamic world of cloud computing, I am always amazed by the variety of job prospects provided by Amazon Web Services (AWS). When exploring AWS job positions, one significant role is the Amazon Web Services (AWS) specialist. What Does an AWS Engineer Do?

AWS 52

AWS Amazon Web Services Cloud Computing Programming Language 52

Cloudera

MARCH 31, 2021

CDP Public Cloud is already available on Amazon Web Services and Microsoft Azure. In this first Google Cloud release, CDP Public Cloud provides built-in Data Hub definitions (see screenshot for more details) for: Data Ingestion (Apache NiFi, Apache Kafka). Data Preparation (Apache Spark and Apache Hive) .

Google Cloud 92

Google Cloud Cloud Amazon Web Services Cloud Storage 92

Cloudera

APRIL 29, 2021

and define a sink for where the data should go (Kafka, Site to Site, Prometheus, a database, etc.). We hope you’ll enjoy these new releases, and you can get NiFi clusters up and running in Amazon Web Services, Microsoft Azure, and Google Cloud in no time! You can have a look at the release notes for more details.

Cloud 75

Cloud Amazon Web Services Google Cloud Data Lake 75

Zalando Engineering

NOVEMBER 29, 2017

Running Kafka Streams applications in AWS At Zalando, Europe’s leading online fashion platform, we use Apache Kafka for a wide variety of use cases. In this blog post, we share our experiences and lessons learned to run our real-time applications built with Kafka’s Streams API in production on Amazon Web Services (AWS).

Kafka 40

Kafka AWS Amazon Web Services Utilities 40

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

DECEMBER 27, 2023

Companies like Amazon, which uses AWS (Amazon Web Service), hire individuals with knowledge of cloud platforms. The Microsoft Azure Developer Associate Certificate includes cloud services for business organizational challenges. Managing these platforms often requires coding knowledge and server management skills.

Medical 98

Medical Programming Language Amazon Web Services Entertainment 98

U-Next

AUGUST 17, 2022

Amazon Web Services (AWS) – Most programmers utilize the well-known cloud computing platform AWS to increase their flexibility, originality, and scalability. Kafka – Kafka is an open-source framework for processing that can handle real-time data flows.

Data Engineering 52

Data Engineering Data Engineer Pipeline-centric Database-centric 52

Knowledge Hut

JUNE 26, 2023

Stock and Twitter Data Extraction Using Python, Kafka, and Spark Project Overview: The rising and falling of GameStop's stock price and the proliferation of cryptocurrency exchanges have made stocks a topic of widespread attention. Source Code: Stock and Twitter Data Extraction Using Python, Kafka, and Spark 2.

Data Engineering 98

Data Engineering Data Engineer Coding Project 98

Snowflake

AUGUST 10, 2023

With the POC complete, Bynder migrated its entire data lake to Snowflake on Amazon Web Services (AWS) in just three months, thanks partly to the platform’s seamless integration with Bynder’s existing AWS environment. “I The simplicity of the platform and support from Snowflake was really appreciated across the company.”

Cloud 52

Cloud Building Amazon Web Services BI 52

Rockset

FEBRUARY 24, 2023

Kafka or Kinesis ? Apache Kafka Kafka , for short, is an open-source distributed streaming platform (yes, that is a mouthful) that enables real-time processing of large volumes of data. Long story short, kafka is extremely powerful and widely used, with a large community to tap for best practices and support.

Kafka 52

Kafka AWS Amazon Web Services Programming Language 52

Knowledge Hut

NOVEMBER 28, 2023

Kafka Kafka is one of the most desired open-source messaging and streaming systems that allows you to publish, distribute, and consume data streams. Kafka, which is written in Scala and Java, helps you scale your performance in today’s data-driven and disruptive enterprises.

Data Engineering 52

Data Engineering Data Engineer Engineering Generalist 52

Edureka

FEBRUARY 9, 2023

Apache Kafka: Apache Kafka is a decentralized publish-subscribe messaging system designed to handle data streams with high volume, high throughput, and low latency. Apache Kafka is highly scalable, fault-tolerant, and scalable, and it provides reliable support for large amounts of data.

Data Engineering 52

Data Engineering Data Engineer Engineering Amazon Web Services 52

Knowledge Hut

NOVEMBER 2, 2023

Learn how to aggregate real-time data using several big data tools like Kafka, Zookeeper, Spark, HBase, and Hadoop. ETL Pipeline Create a complete ETL (Extract, Transform, Load) pipeline on Amazon Web Services. This project is excellent for comprehending the fundamental ideas of data engineering.

Data Engineering 52

Data Engineering Data Engineer Coding Project 52

Confluent

SEPTEMBER 30, 2019

Go from zero to production on Apache Kafka ® without talking to sales reps or building infrastructure. Apache Kafka is the standard for event-driven applications. Free Kafka as a service. Kafka made serverless. Grow as you go based on load, as your underlying Kafka infrastructure scales up and down transparently.

Kafka 19

Kafka Cloud Amazon Web Services Google Cloud 19

Knowledge Hut

JUNE 20, 2023

Languages Python, SQL, Java, Scala R, C++, Java Script, and Python Tools Kafka, Tableau, Snowflake, etc. Apache Spark, Microsoft Azure, Amazon Web services, etc. Kafka: Kafka is a top engineering tool highly valued by big data experts. Spark is an efficient solution for big data engineering.

Machine Learning 52

Machine Learning Data Engineering Data Engineer Engineering 52

Rockset

FEBRUARY 24, 2022

It’s a fully managed service within the Amazon Web Services (AWS) cloud, which obviates the need to manage infrastructure. Kinesis is modeled after Apache Kafka: both are general-purpose publish/subscribe messaging services, both are horizontally scalable, and both are high performance.

AWS 52

AWS Amazon Web Services Kafka SQL 52

Knowledge Hut

MARCH 28, 2024

Role Level: Intermediate Responsibilities Design and develop big data solutions using Azure services like Azure HDInsight, Azure Databricks, and Azure Data Lake Storage. Education & Skills Required Using technologies such as Hadoop, Kafka, and Spark. Experience with Azure services for big data processing and analytics.

Data Engineering 52

Data Engineering Data Engineer Engineering Data Warehouse 52

AltexSoft

AUGUST 29, 2023

Apache Kafka and AWS Kinesis are popular tools for handling real-time data ingestion. Here are some of the major players in the field, each offering robust data lake services. Real-time ingestion immediately brings data into the data lake as it is generated. Video explaining how data streaming works.

Data Lake 52

Data Lake Architecture IT Amazon Web Services 52

Confluent

MARCH 4, 2019

A trend often seen in organizations around the world is the adoption of Apache Kafka ® as the backbone for data storage and delivery. Thus, they created different Terraform scripts for each cloud provider that would be offered as an option, such as Amazon Web Services (AWS) , Google Cloud and Microsoft Azure.

Cloud 86

Cloud Banking Kafka NoSQL 86

Knowledge Hut

APRIL 25, 2023

Data processing: Data engineers should know data processing frameworks like Apache Spark, Hadoop, or Kafka, which help process and analyze data at scale. Spark can be integrated with various data sources, including Hadoop Distributed File System (HDFS), Apache Cassandra, Apache HBase, and Amazon S3.

Data Engineering 52

Data Engineering Data Engineer Engineering Google Cloud 52

Knowledge Hut

JULY 3, 2023

Here are some of the leading tools: Apache Kafka: Apache Kafka is a highly scalable and distributed streaming platform that allows for real-time data ingestion and processing. Amazon Kinesis: Amazon Kinesis is a fully managed service offered by Amazon Web Services (AWS) for real-time streaming data ingestion and processing.

Data Ingestion 52

Data Ingestion Pipeline-centric Google Cloud Media 52

Edureka

FEBRUARY 6, 2023

To supervise real-time business metric aggregation, data warehousing and querying, schema and data management, and related duties, familiarity with the computer coding languages python, java, Kafka, hive, or storm may be required. Data engineers frequently work in groups and should enjoy collaborating with other data engineers.

Data Engineering 52

Data Engineering Data Engineer Engineering Amazon Web Services 52

Confluent

OCTOBER 3, 2019

At Scrapinghub, we specialize in web data extraction , and our products empower everyone from programmers to CEOs to extract web data quickly and effectively. Example of article extraction on Introducing a Cloud-Native Experience for Apache Kafka ® in Confluent Cloud. Running Kafka on Kubernetes ourselves.

Kafka 15

Kafka Cloud Amazon Web Services Google Cloud 15

ProjectPro

JUNE 9, 2021

A data engineer should be capable of understanding business requirements for a database and should have the skills to design the architecture for a sound database management system and also be able to develop it based on the design.Good knowledge of Spark, Hadoop, and Kafka will help. Cloud computing skills, e.g., Amazon web services.

Data Engineering 52

Data Engineering Data Engineer Engineering Amazon Web Services 52

Monte Carlo

APRIL 24, 2023

Amazon S3 and/or Lake Formation Amazon S3 is a popular storage platform to build and store data lakes thanks to its high availability and low latency access. It’s especially attractive for organizations that would like to leverage other complementary Amazon Web Services (AWS) services or database engines like Aurora.

Data Lake 52

Data Lake Google Cloud Data Warehouse AWS 52

ProjectPro

JULY 30, 2021

Cloud-Native are technologies and services built to leverage cloud architecture. What are some examples of popularly used Cloud Computing services? Windows Azure, Amazon Web services, and iCloud are the very popular ones. Amazon Web Services(AWS) Interview Questions and Answers 1.

Cloud Computing 40

Cloud Computing Cloud Amazon Web Services AWS 40

Knowledge Hut

FEBRUARY 27, 2023

Amazon Web Services (AWS) Certified Data Analytics – Specialty Data Science Council of America (DASCA) Associate Big Data Engineer Google Professional Data Engineer You can get trained and certified by enrolling in the following certification programs: 1.

Data Engineering 52

Data Engineering Data Engineer Database-centric Pipeline-centric 52

Monte Carlo

JUNE 14, 2023

Amazon Redshift – Amazon Redshift, one of the most widely used options, sits on top of Amazon Web Services (AWS) and easily integrates with other data tools in the space. Stitch – A cloud-based open source platform that allows you to rapidly move data from a source to a destination.

Data Pipeline 52

Data Pipeline Architecture Data Lake Data Warehouse 52

AltexSoft

MAY 14, 2021

Amazon DynamoDB is a fully managed NoSQL database that comes as a part of the Amazon Web Services portfolio. Apache Kafka. Kafka is a scalable, open-source, fault-tolerant software platform used to collect Big Data from multiple sources.

Big Data 78

Big Data Data Analytics IT NoSQL 78

phData: Data Engineering

AUGUST 4, 2023

For example, an external stage can be created to define the location of data in a Kafka stream, and Snowflake can be configured to consume the data from that stream and load it into a table for further analysis.

Cloud Storage 52

Cloud Storage Google Cloud Amazon Web Services Data Storage 52

Zalando Engineering

SEPTEMBER 20, 2015

Enter Saiki, which manages all of this data integration and distribution with Amazon Web Services (AWS). It makes use of STUPS , our open-source Platform as a Service (PaaS), which allows for a secure and audit-compliant handling of the data involved.

Data Integration 40

Data Integration PostgreSQL Amazon Web Services Kafka 40

ProjectPro

AUGUST 24, 2021

This architecture shows that simulated sensor data is ingested from MQTT to Kafka. The data in Kafka is analyzed with Spark Streaming API, and the data is stored in a column store called HBase. Learn how to use various big data tools like Kafka, Zookeeper, Spark, HBase, and Hadoop for real-time data aggregation.

Data Engineering 52

Data Engineering Data Engineer Coding Project 52

Monte Carlo

AUGUST 19, 2023

Amazon Redshift – Amazon Redshift, one of the most widely used options, sits on top of Amazon Web Services (AWS) and easily integrates with other data tools in the space. Stitch – A cloud-based open source platform that allows you to rapidly move data from a source to a destination.

Building 52

Building BI Data Lake Data Governance 52

phData: Data Engineering

JANUARY 3, 2022

For example, an enterprise might be using Amazon Web Services (AWS) as a cloud provider, and you want to store and query data from various systems. Data engineers allow an organization to efficiently and effectively collect data from various sources, generally storing that data into a data lake or into several Kafka topics.

Data Engineering 52

Data Engineering Data Engineer Engineering Data Governance 52

ProjectPro

SEPTEMBER 26, 2021

You must be aware of Amazon Web Services (AWS) and the data warehousing concept to effectively store the data sets. Hadoop , Kafka , and Spark are the most popular big data tools used in the industry today. Data Warehousing: Data warehouses store massive pieces of information for querying and data analysis.

Big Data 52

Big Data Data Engineering Data Engineer Engineering 52

ProjectPro

AUGUST 9, 2018

What steps will you perform to enable a server in a private subnet of a VPC to download updates from the web? How will you design an Amazon Web Services cloud architecture for failure? What does "data center" mean for Amazon Web Services (AWS)? How will you build a self-healing AWS cloud architecture?

AWS 40

AWS Amazon Web Services Cloud Computing Database 40

ProjectPro

APRIL 20, 2017

Problem Statement In this Hadoop project, you can analyze bitcoin data and implement a data pipeline through Amazon Web Services ( AWS ) Cloud. You will be introduced to exciting Big Data Tools like AWS, Kafka, NiFi, HDFS, PySpark, and Tableau. What will you learn from this Hadoop Project? Uploading the data on HDFS.

Hadoop 40

Hadoop Big Data Coding Project 40