Monte Carlo

JUNE 2, 2024

Databases and Data Warehousing: Engineers need in-depth knowledge of SQL (88%) and NoSQL databases (71%), as well as data warehousing solutions like Hadoop (61%). Cloud Platforms: Understanding cloud services from providers like AWS (mentioned in 80% of job postings), Azure (66%), and Google Cloud (56%) is crucial.

Engineering 52

Engineering Amazon Web Services Data Science AWS 52

Edureka

AUGUST 29, 2024

In this respect, the purpose of the blog is to explain what is a data engineer , describe their duties to know the context that uses data, and explain why the role of a data engineer is central. Databases: Knowledgeable about SQL and NoSQL databases. What Does a Data Engineer Do?

Data Engineering 40

Data Engineering Data Engineer Engineering Generalist 40

Cloudera

APRIL 2, 2019

HBase is a distributed, scalable NoSQL database that enterprises use to power applications that need random, real time read/write access to semi-structured data. Testing also conducted on Hewlett Packard Enterprise servers and Google Cloud Platform . Intel does not guarantee any costs or cost reduction.

NoSQL 48

NoSQL Google Cloud Hadoop Machine Learning 48

Databand.ai

DECEMBER 13, 2022

He also has more than 10 years of experience in big data, being among the few data engineers to work on Hadoop Big Data Analytics prior to the adoption of public cloud providers like AWS, Azure, and Google Cloud Platform. Deepak regularly shares blog content and similar advice on LinkedIn.

Data Engineering 52

Data Engineering Data Engineer Engineering AWS 52

Confluent

SEPTEMBER 20, 2019

Before Confluent Cloud was announced , a managed service for Apache Kafka did not exist. This blog post goes over: The complexities that users will run into when self-managing Apache Kafka on the cloud and how users can benefit from building event streaming applications with a fully managed service for Apache Kafka.

Kafka 21

Kafka Management Cloud AWS 21

Knowledge Hut

MARCH 19, 2024

market share, while all of its rivals combined, Microsoft Azure (29.4%), Google Cloud (3.0%), and IBM (2.6%), do not even reach that percentage. That shows how much AWS has to offer, and you must know about it if you’re a cloud computing enthusiast. I will explore the top 10 AWS applications and their use cases in this blog.

AWS 52

AWS Cloud Computing Amazon Web Services Relational Database 52

Knowledge Hut

DECEMBER 21, 2023

For a data engineer career, you must have knowledge of data storage and processing technologies like Hadoop, Spark, and NoSQL databases. Cloud Data Engineer A cloud data engineer designs, builds, and maintains data infrastructures to run on cloud platforms such as AWS or Google Cloud.

Data Engineering 52

Data Engineering Data Engineer Engineering MongoDB 52

Edureka

OCTOBER 10, 2024

This activity is rather critical of migrating data, extending cloud and on-premises deployments, and getting data ready for analytics. In this all-encompassing tutorial blog, we are going to give a detailed explanation of the Copy activity with special attention to datastores, file type, and options. can be ingested in Azure.

MongoDB 40

MongoDB NoSQL Metadata Datasets 40

ProjectPro

JANUARY 19, 2022

Cloud Services Providers Platforms As companies are gradually becoming more inclined towards investing in cloud computing for storing their data instead of bulky hardware systems, engineers who can work on cloud computing tools are in demand. It nicely supports Hybrid Cloud Space. Subscription plans are not so flexible.

Data Engineering 52

Data Engineering Data Engineer Engineering Amazon Web Services 52

Edureka

MAY 6, 2024

Whether you are a newbie or an experienced individual, if you want to explore more about the concepts of MLOPS, then you just click on the right blog. But before we begin, Let’s have a look at what we will be covering in this blog: What is MLOPS? Why do we need MLOPS? Components of MLOPS MLOPS Roadmap for 2024 What is MLOPS?

Machine Learning 52

Machine Learning Metadata Programming Language Healthcare 52

AltexSoft

OCTOBER 21, 2022

popular SQL and NoSQL database management systems including Oracle, SQL Server, Postgres, MySQL, MongoDB, Cassandra, and more; cloud storage services — Amazon S3, Azure Blob, and Google Cloud Storage; message brokers such as ActiveMQ, IBM MQ, and RabbitMQ; Big Data processing systems like Hadoop ; and.

Kafka 93

Kafka Hadoop Big Data ETL Tools 93

Knowledge Hut

FEBRUARY 16, 2023

This blog helps you understand more about the data engineer salary in US. After the inception of databases like Hadoop and NoSQL, there's a constant rise in the requirement for processing unstructured or semi-structured data. Hope this blog gives you a clear understanding of data engineer salary in USA.

Data Engineering 52

Data Engineering Data Engineer Engineering Healthcare 52

Knowledge Hut

JANUARY 22, 2024

Students learn skills to build data pipelines, query data lakes and develop cloud-native applications using services from AWS, Azure and Google Cloud. Students work with SQL, NoSQL databases, Hadoop ecosystem, Spark, Kafka etc.

Data Science 52

Data Science Certification Education Programming 52

Databand.ai

DECEMBER 29, 2022

Chad writes on data management, contracts, and products on his Substack blog and serves as an advisor and investor to several startups. She regularly contributes to IBM’s Journey to AI blog and shares her advice on LinkedIn around data strategy, data science, women in AI, data and analytics, data governance, and artificial intelligence.

BI 52

BI Consulting Data Science Data Governance 52

Edureka

OCTOBER 7, 2024

You should also know DBMS and basics of SQL(Structured Query Language) and NoSQL databases because databases play an important role in storing and retrieving data in backend development. Take your first steps with a startup application such as a simple blog, an API, or a simple e-commerce application.

Programming Language 40

Programming Language Java Portfolio Computer Science 40

ProjectPro

NOVEMBER 15, 2021

This blog will walk through the most popular and fascinating open source big data projects. Apache Beam Source: Google Cloud Platform Apache Beam is an advanced unified programming open-source model launched in 2016. Furthermore, Cassandra is a NoSQL database in which all nodes are peers, rather than master-slave architecture.

Big Data 52

Big Data Project Metadata Programming Language 52

ProjectPro

JULY 12, 2021

This blog will take you through a relatively new career title in the data industry — AI Engineer. A data engineer is expected to be adept at using ETL (Extract, Transform and Load) tools and be able to work with both SQL and NoSQL databases. You can consider many other high-paying career options as a data enthusiast.

Engineering 40

Engineering Deep Learning Software Engineer Software Engineering 40

Knowledge Hut

SEPTEMBER 6, 2023

Cloud Computing : Knowledge of cloud platforms like AWS, Azure, or Google Cloud is essential as these are used by many organizations to deploy their big data solutions. Develop working knowledge of NoSQL & Big Data using MongoDB, Cassandra, Cloudant, Hadoop, Apache Spark, Spark SQL, Spark ML, and Spark Streaming 18.

Big Data 52

Big Data Certification Hadoop Kafka 52

Rockset

JUNE 7, 2021

Translating the commands from source to target can be tricky especially if you’re capturing changes to a SQL database and reflecting them in a NoSQL database, as the way commands are written are different. The system needs to deal with transactional systems where changes are only applied on commit.

IT 40

IT Kafka Database MongoDB 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. that leverage big data analytics and tools.

Data Engineering 40

Data Engineering Data Engineer Engineering Hadoop 40

Christophe Blefari

AUGUST 4, 2023

As a disclaimer, this may not quite make sense in a corporate context, but since this is my blog, I'll do what I want. FAQ and remarks Why do you use Google Cloud? However over the years I've met people working at these companies so I might have a few biais. I hope you'll enjoy this Data News Summer Edition.

Google Cloud 225

Google Cloud MongoDB NoSQL Data 225

Data Science Blog: Data Engineering

DECEMBER 23, 2022

Dazu gesellen sich Datenbanken wie der PostgreSQL, Maria DB oder Microsoft SQL Server sowie CosmosDB oder einfachere Cloud-Speicher wie der Microsoft Blobstorage, Amazon S3 oder Google Cloud Storage. Beispiele für verbreitete NoSQL-Datenbanken sind MongoDB, CouchDB, Cassandra oder Neo4J.

Data Engineering 52

Data Engineering Data Engineer Engineering Business Intelligence 52

Rockset

APRIL 15, 2022

We'll be publishing more posts in the series in the near future, so subscribe to our blog so you don't miss them! Most were cloud native ( Amazon Kinesis , Google Cloud Dataflow) or were commercially adapted for the cloud ( Kafka ⇒ Confluent, Spark ⇒ Databricks). They were unaffordable for most companies.

Analytics Application 52

Analytics Application Data Warehouse Kafka Database 52

Edureka

JANUARY 12, 2024

Platforms like AWS Lambda, Azure Functions, and Google Cloud Functions are popular choices. To stay updated on these trends, it’s essential to follow industry blogs, attend relevant webinars and conferences, participate in online communities and forums, and continuously explore and experiment with new technologies and tools.

Java 52

Java NoSQL MongoDB Programming 52