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. Soft skills for data engineering Problem solving using data-driven methods It’s key to have a data-driven approach to problem-solving. Rely on the real information to guide you.

Data Engineering 52

Data Engineering Data Engineer Certification Engineering 52

Knowledge Hut

NOVEMBER 17, 2023

The global market for cloud services is expected to reach $623 billion by 2023, up from $272 billion in 2018. This rapid growth is being driven by a number of factors, including the increasing adoption of cloud-based applications, the growing need for data storage and processing, and the rise of IoT devices.

Cloud Computing 52

Cloud Computing Cloud Google Cloud Amazon Web Services 52

Knowledge Hut

DECEMBER 26, 2023

IntelliJ Idea A popular editor for Java-based application development. Maven for Java Helps Java-based projects for package management. For example, java front-end tools might differ from python tools. This enables an easier, quicker, and orderly handling of data access layers and the basic presentation structure.

MongoDB 98

MongoDB Programming Language Java Relational Database 98

Knowledge Hut

MAY 8, 2023

Cloud computing platforms have become increasingly popular as businesses worldwide have stopped employing onsite data centers and server rooms. Around two-thirds of large firms are shifting business apps and data storage to Cloud services. Cloud engineers should think about learning: Java, Python, R, PHP, C++ 2.

Cloud 52

Cloud Engineering Cloud Computing Amazon Web Services 52

Knowledge Hut

OCTOBER 12, 2023

Fundamentals of Data Storage Another skill through the cloud architect road map is a basic understanding of data storage. In AWS, where there are several data storage alternatives, you must be able to choose when to employ each. Cloud architects can employ languages such as Java, Python, and C#.

Cloud 52

Cloud Cloud Computing AWS Certification 52

ProjectPro

SEPTEMBER 6, 2021

So, are you ready to explore the differences between two cloud giants, AWS vs. google cloud? Amazon brought innovation in technology and enjoyed a massive head start compared to Google Cloud, Microsoft Azure , and other cloud computing services. Let’s get started!

AWS 52

AWS Amazon Web Services Google Cloud Cloud Storage 52

AltexSoft

SEPTEMBER 21, 2023

It is developed in Java and built upon the highly reputable Apache Lucene library. Speed and performance Speed and performance are foundational to Elasticsearch’s appeal, setting it apart from traditional data storage and retrieval systems. What is Elasticsearch?

Engineering 52

Engineering NoSQL Programming Language Java 52

Knowledge Hut

JUNE 23, 2023

Other Competencies You should have proficiency in coding languages like SQL, NoSQL, Python, Java, R, and Scala. You should be thorough with technicalities related to relational and non-relational databases, Data security, ETL (extract, transform, and load) systems, Data storage, automation and scripting, big data tools, and machine learning.

Data Engineering 52

Data Engineering Data Engineer Engineering Non-relational Database 52

Monte Carlo

NOVEMBER 20, 2023

But as businesses pivot and technologies advance, data migrations are—regrettably—unavoidable. Much like a chess grandmaster contemplating his next play, data migrations are a strategic move. A good data storage migration ensures data integrity, platform compatibility, and future relevance.

MongoDB 52

MongoDB ETL Tools Database Data 52

ProjectPro

FEBRUARY 21, 2023

Vendor-Specific Data Engineering Certifications The vendor-specific data engineer certifications help you enhance your knowledge and skills relevant to specific vendors, such as Azure, Google Cloud Platform, AWS, and other cloud service vendors. The rest of the exam details are the same as the DP-900 exam.

Certification 52

Certification Data Engineering Data Engineer Engineering 52

Knowledge Hut

NOVEMBER 17, 2023

Azure services heavily rely on languages like JavaScript, Java, HTML, ASP.NET, and C#. Get Practical Cloud Computing Experience The next step for you should be to apply for a job in the industry. Cloud Computing Skills: Cloud computing is the third and most important ability you need to get developer jobs on the Azure platform.

Cloud Computing 52

Cloud Computing Programming Language Certification Cloud 52

Knowledge Hut

MARCH 27, 2024

Let's check some big data analytics tools examples and software used in big data analytics. Listed below are the top and the most popular tools for big data analytics : 1. Data from one server can be processed by multiple structured and unstructured computers, and users of Hadoop can also access it across multiple platforms.

Big Data 52

Big Data Data Analytics MongoDB Big Data Tools 52

ProjectPro

JANUARY 19, 2022

Data Engineering Requirements Here is a list of skills needed to become a data engineer: Highly skilled at graduation-level mathematics. Good skills in computer programming languages like R, Python, Java, C++, etc. Experience with using cloud services providing platforms like AWS/GCP/Azure. Similar pricing as AWS.

Data Engineering 52

Data Engineering Data Engineer Engineering Amazon Web Services 52

ProjectPro

NOVEMBER 15, 2021

20 Open Source Big Data Projects To Contribute There are thousands of open-source projects in action today. 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.

Big Data 52

Big Data Project Metadata Programming Language 52

ProjectPro

JULY 30, 2021

There are many cloud computing job roles like Cloud Consultant, Cloud reliability engineer, cloud security engineer, cloud infrastructure engineer, cloud architect, data science engineer that one can make a career transition to. What is Cloud Computing?

Cloud Computing 40

Cloud Computing Cloud Amazon Web Services AWS 40

Confluent

MARCH 4, 2019

But to perform all this experimentation; companies cannot wait weeks or even months for IT to get them the appropriate infrastructure so they can start innovating, hence why cloud computing is becoming a standard for new developments. But cloud alone doesn’t solve all the problems. CTO of CloudBank.

Cloud 86

Cloud Banking Kafka NoSQL 86

ProjectPro

JANUARY 31, 2022

On the other hand, traditional data infrastructure can't always handle the needs of numerous toolkits, and new technologies like AutoML require a modern infrastructure to work correctly. Snowflake meets its users where they are most at ease, reducing the need to transfer data over the internet from their cloud environment to Snowflake.

Architecture 52

Architecture IT Data Warehouse Amazon Web Services 52

ProjectPro

JULY 12, 2021

We will now describe the difference between these three different career titles, so you get a better understanding of them: Data Engineer A data engineer is a person who builds architecture for data storage. They can store large amounts of data in data processing systems and convert raw data into a usable format.

Engineering 40

Engineering Deep Learning Software Engineer Software Engineering 40

U-Next

JULY 2, 2022

Introduction To Cloud Engineer Skills. The cloud computing model delivers computing resources on-demand – that is, through the Internet – such as data storage, compute power and data processing. The choice of one or more cloud engineer skills would depend on the business needs and the requirements.

Cloud 40

Cloud Engineering Cloud Computing Amazon Web Services 40

Confluent

JULY 3, 2019

In order to achieve our targets, we’ll use pre-built connectors available in Confluent Hub to source data from RSS and Twitter feeds, KSQL to apply the necessary transformations and analytics, Google’s Natural Language API for sentiment scoring, Google BigQuery for data storage, and Google Data Studio for visual analytics.

Data Analysis 21

Data Analysis Kafka Datasets Java 21

Confluent

SEPTEMBER 20, 2019

Confluent Cloud addresses elasticity with a pricing model that is usage based, in which the user pays only for the data that is actually streamed. If there is no traffic in any of the created clusters, then there are no charges (excluding data storage costs). Native support for KSQL in Confluent Cloud.

Kafka 21

Kafka Management Cloud AWS 21