Knowledge Hut

JANUARY 9, 2024

Additionally, students learn about service and deployment models, SLAs, economic models, cloud security, enabling technologies, popular cloud stacks, and their use cases. It also discusses case studies on Software Defined Storage (SDS), Software Defined Networks (SDN), and Amazon EC2.

Cloud Computing 52

Cloud Computing Cloud Amazon Web Services Cloud Storage 52

Confluent

OCTOBER 16, 2019

The platform shown in this article is built using just SQL and JSON configuration files—not a scrap of Java code in sight. Resolving codes in events to their full values. Perhaps you want to resolve a code used in the event stream but it’s a value that will never change (famous last words in any data model!),

Kafka 19

Kafka Building Data Coding 19

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

Knowledge Hut

DECEMBER 27, 2023

Many business owners and professionals are interested in harnessing the power locked in Big Data using Hadoop often pursue Big Data and Hadoop Training. Apache Hadoop This open-source software framework processes data sets of big data with the help of the MapReduce programming model. No coding is required.

Big Data Tools 59

Big Data Tools Big Data Hadoop Database-centric 59

Knowledge Hut

FEBRUARY 2, 2024

Cloud Computing Course As more and more businesses from various fields are starting to rely on digital data storage and database management, there is an increased need for storage space. And what better solution than cloud storage? Skills Required: Technical skills such as HTML and computer basics.

Programming Language 98

Programming Language Amazon Web Services Java Cloud Computing 98

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 Engineer 52

Data Engineer Data Engineering Engineering Google Cloud 52

ProjectPro

APRIL 11, 2015

Get More Practice, More Big Data and Analytics Projects , and More guidance.Fast-Track Your Career Transition with ProjectPro Examples of Cloud computing YouTube is the best example of cloud storage which hosts millions of user uploaded video files. Related Posts How much Java is required to learn Hadoop?

Cloud Computing 52

Cloud Computing Cloud Hadoop AWS 52

ProjectPro

SEPTEMBER 6, 2021

Amazon brought innovation in technology and enjoyed a massive head start compared to Google Cloud, Microsoft Azure , and other cloud computing services. It developed and optimized everything from cloud storage, computing, IaaS, and PaaS. AWS S3 and GCP Storage Amazon and Google both have their solution for cloud storage.

AWS 52

AWS Amazon Web Services Google Cloud Cloud Storage 52

AltexSoft

MARCH 30, 2023

Source: Databricks Delta Lake is an open-source, file-based storage layer that adds reliability and functionality to existing data lakes built on Amazon S3, Google Cloud Storage, Azure Data Lake Storage, Alibaba Cloud, HDFS ( Hadoop distributed file system), and others.

Scala 64

Scala Data Lake Machine Learning BI 64

ProjectPro

AUGUST 11, 2021

Is Hadoop a data lake or data warehouse? Get FREE Access to Data Analytics Example Codes for Data Cleaning, Data Munging, and Data Visualization Data Lake Architecture Data lake architecture incorporates various search and analysis methods to help organizations glean meaningful insights from the large volumes of data.

Data Lake 52

Data Lake Data Warehouse Cloud Hadoop 52

ProjectPro

FEBRUARY 16, 2023

Despite the buzz surrounding NoSQL , Hadoop , and other big data technologies, SQL remains the most dominant language for data operations among all tech companies. For instance, data engineers can easily transfer the data onto a cloud storage system and load the raw data into their data warehouse using the COPY INTO command.

Data Engineer 52

Data Engineer Data Engineering SQL Engineering 52

ProjectPro

JANUARY 24, 2023

BigQuery also supports many data sources, including Google Cloud Storage, Google Drive, and Sheets. It can process data stored in Google Cloud Storage, Bigtable, or Cloud SQL, supporting streaming and batch data processing. It supports structured and unstructured data, allowing users to work with various formats.

Bytes 52

Bytes Google Cloud Data Warehouse Cloud Storage 52

Knowledge Hut

JANUARY 9, 2024

Companies can avail cloud solutions like platform as a service, software as a service, and infrastructure as a service. They can also opt for serverless computing, which allows them to upload their codes, while Microsoft Azure handles all the background processes.

Cloud Computing 52

Cloud Computing Computer Science Certification Cloud 52

Ascend.io

MAY 18, 2023

The data stack consisted of databases and third-party solutions with GUI drag-and-drop interfaces, such as Informatica and SSIS, that essentially wrote the SQL code for you to extract, transform, and load (ETL) data from the transactional databases into data warehouses — while managing their data processing schedules and data mapping needs.

Data Warehouse 52

Data Warehouse Data Pipeline Data Lake Data Engineer 52

ProjectPro

JULY 30, 2021

Communication with Applications happens over API calls advised by the Cloud provider—for example, Google Drive. PAAS - PaaS provides enterprises with a platform where they could deploy their code and applications. PaaS packages the platform for development and testing along with data, storage, and computing capability.

Cloud Computing 40

Cloud Computing Cloud Amazon Web Services AWS 40

Knowledge Hut

SEPTEMBER 26, 2023

Here's how: Interactive Notebooks: Databricks provides interactive notebooks (Databricks Notebooks) that allow data scientists, analysts, and engineers to create and share code, visualizations, and documentation in a collaborative environment. This flexibility allows organizations to ingest data from virtually anywhere.

Data Lake 52

Data Lake Database-centric Machine Learning Pipeline-centric 52

Knowledge Hut

DECEMBER 26, 2023

Demand for cybersecurity is increasing as the business environment shifts to cloud storage space and internet administration. Application Development Security Skill needed for Application Development Security Strong coding skills in various languages including Shell, Java, C++, Python.

Programming Language 52

Programming Language Electronics Certification Java 52

ProjectPro

DECEMBER 7, 2021

In other words, you will write codes to carry out one step at a time and then feed the desired data into machine learning models for training sentimental analysis models or evaluating sentiments of reviews, depending on the use case. You also have to write codes to handle exceptions to ensure data continuity and prevent data loss.

Data Pipeline 52

Data Pipeline Architecture Kafka AWS 52

Monte Carlo

NOVEMBER 14, 2023

Like much of the modern data stack, a good orchestration tool should be cloud-based and user-friendly (hand-coded Frankenstein software need not apply). With Prefect, you can orchestrate your code and provide full visibility into your workflows without the constraints of boilerplate code or rigid DAG structures.

Pipeline-centric 40

Pipeline-centric Google Cloud Python Data Workflow 40

Netflix Tech

DECEMBER 14, 2018

However, schemas are implicit in a schemaless system as the code that reads the data needs to account for the structure and the variations in the data (“schema-on-read”). NMDB leverages a cloud storage service (e.g., AWS S3 service ) to which a client first uploads the Media Document instance data.

Media 97

Media Database Metadata Data Schemas 97

Knowledge Hut

JANUARY 19, 2024

People with little technical knowledge can use BI software, which allows them to access all necessary information without writing code or creating detailed reports—something that would otherwise be difficult. Ease of Operations BI systems make it easy for businesses to store, access and analyze data.

Business Intelligence 52

Business Intelligence BI Business Analyst Aggregated Data 52

ProjectPro

JANUARY 19, 2022

Hadoop, MongoDB, and Kafka are popular Big Data tools and technologies a data engineer needs to be familiar with. Companies are increasingly substituting physical servers with cloud services, so data engineers need to know about cloud storage and cloud computing. The final step is to publish your work.

Data Engineer 52

Data Engineer Data Engineering Engineering Data Storage 52

Knowledge Hut

NOVEMBER 2, 2023

Simple Storage Service Amazon AWS provides S3 or Simple Storage Service that can be used for sharing large files or small files to large audiences online. AWS provides cloud storage for your use that offers scalability for file sharing. With the help of AWS CodeCommit, you will be able to store code in Git repositories.

Amazon Web Services 52

Amazon Web Services AWS IT Transportation 52

ProjectPro

JULY 15, 2021

Amazon EC2 and Google Compute Engine are notable examples of IaaS cloud. Get FREE Access to Data Analytics Example Codes for Data Cleaning, Data Munging, and Data Visualization Cloud Computing Delivery Models To work on projects on cloud computing, it is necessary to understand the cloud delivery models.

Cloud Computing 40

Cloud Computing Cloud Project Banking 40

AltexSoft

JULY 29, 2022

Depending on how you measure it, the answer will be 11 million newspaper pages or… just one Hadoop cluster and one tech specialist who can move 4 terabytes of textual data to a new location in 24 hours. The Hadoop toy. So the first secret to Hadoop’s success seems clear — it’s cute. What is Hadoop?

Hadoop 59

Hadoop Big Data Google Cloud NoSQL 59

Christophe Blefari

SEPTEMBER 28, 2023

The era of Big Data was characterised by Hadoop, HDFS, distributed computing (Spark), above the JVM. We jumped from HDFS to Cloud Storage (S3, GCS) for storage and from Hadoop, Spark to Cloud warehouses (Redshift, BigQuery, Snowflake) for processing. Microsoft logo still standing over the years.

Big Data 147

Big Data Cloud Storage Hadoop SQL 147

Knowledge Hut

OCTOBER 30, 2023

This article will provide big data project examples, big data projects for final year students , data mini projects with source code and some big data sample projects. The article will also discuss some big data projects using Hadoop and big data projects using Spark. Let’s check some big data projects with source code.

Big Data 52

Big Data Coding Project Medical 52

ProjectPro

MAY 31, 2021

Services: Cloud Composer, Google Cloud Storage (GCS), Pub-Sub, Cloud Functions, BigQuery, BigTable Big Data Project with Source Code: Build a Scalable Event-Based GCP Data Pipeline using DataFlow 2. Big Data Project using Hadoop with Source Code for Web Server Log Processing 5.

Big Data 52

Big Data Coding Project Hadoop 52

ProjectPro

NOVEMBER 30, 2021

For example, address data may have misspelled street names, incorrect zip codes, etc., or mobile numbers may have special symbols and country codes appended before them. Cloud storage is the best option for storing all the processed data, and it is secure and easily accessible, and no infrastructure is required.

Process 52

Process Data Warehouse Data Pipeline AWS 52