Knowledge Hut

NOVEMBER 28, 2023

The contemporary world experiences a huge growth in cloud implementations, consequently leading to a rise in demand for data engineers and IT professionals who are well-equipped with a wide range of application and process expertise. Work closely with software engineers and data scientists.

Data Engineering 52

Data Engineering Data Engineer Engineering Generalist 52

Knowledge Hut

JULY 3, 2023

Data Storage: Real-Time data ingestion infrastructure requires storage capable of handling and storing high amounts of data with low latency. Like, in-memory databases, NoSQL databases, data lakes, or cloud-based storage, depending upon the requirements of the organization.

Data Ingestion 52

Data Ingestion Pipeline-centric Google Cloud Media 52

ProjectPro

JUNE 13, 2018

AWS certifications are the most in-demand cloud computing certifications in the IT industry today, with an overwhelming growth in cloud computing. With everyone from Netflix to American Airlines signing up to the cloud to keep things from crumbling into pieces, organizations are running into a significant skills gap.

AWS 52

AWS Certification Amazon Web Services Cloud Computing 52

Knowledge Hut

FEBRUARY 27, 2023

These prospects include getting data engineer jobs in Singapore in more prominent companies at better salaries. Here are some standard certifications that are recommended for data engineers. Below are some of the most common job titles and careers in data science.

Data Engineering 52

Data Engineering Data Engineer Database-centric Pipeline-centric 52

ProjectPro

JUNE 9, 2021

Difference between Data Science and Data Engineering Data Science Data Engineering Data Science involves extracting information from raw data to derive business insights and values using statistical methods. Data Engineering is associated with data collecting, processing, analyzing, and cleaning data.

Data Engineering 52

Data Engineering Data Engineer Engineering Amazon Web Services 52

Knowledge Hut

DECEMBER 26, 2023

However, as we progressed, data became complicated, more unstructured, or, in most cases, semi-structured. This mainly happened because data that is collected in recent times is vast and the source of collection of such data is varied, for example, data collected from text files, financial documents, multimedia data, sensors, etc.

Data Engineering 98

Data Engineering Data Engineer Engineering Pipeline-centric 98

Knowledge Hut

NOVEMBER 18, 2023

IoT devices and sensors can collect data every second, while ML models can detect potential failures and notify the operators of the same. These solutions can also help organizations reduce data transfer and as a result their cloud storage costs. It includes access control, encryption, data backup and recovery.

Machine Learning 52

Machine Learning Transportation Healthcare Medical 52

ProjectPro

APRIL 20, 2017

There are various kinds of hadoop projects that professionals can choose to work on which can be around data collection and aggregation, data processing, data transformation or visualization. Extracting data from APIs using Python. Uploading the data on HDFS. Utilizing PySpark for reading data.

Hadoop 40

Hadoop Big Data Coding Project 40

Knowledge Hut

MAY 3, 2024

AWS (Amazon Web Services) defines “Streaming Data” as data that is generated continuously by thousands of data sources, which typically send in the data records simultaneously, and in small sizes (order of Kilobytes). What is Stream Processing? Why one will love using dedicated Apache Kafka Streams?

Kafka 98

Kafka Scala Java Amazon Web Services 98

U-Next

AUGUST 17, 2022

Data is utilized in all facets of sales and results in life cycle analysis. Recent technological developments have had a significant influence on the vitality of data. Such innovations include open-source initiatives, Cloud Computing, and huge data expansion. Conclusion.

Data Engineering 52

Data Engineering Data Engineer Pipeline-centric Database-centric 52

Rockset

FEBRUARY 24, 2023

An instructive example is clickstream data, which records a user’s interactions on a website. Another example would be sensor data collected in an industrial setting. The common thread across these examples is that a large amount of data is being generated in real time. It also offers a variety of deployment options.

Kafka 52

Kafka AWS Amazon Web Services Programming Language 52

Knowledge Hut

NOVEMBER 20, 2023

PagerDuty PagerDuty is a cloud-based platform that provides IT operations and DevOps teams with a single system to manage their alerting, on-call scheduling, and incident management. Splunk Splunk is a software company specializing in data analytics. It is a cloud-based service that is available on demand.

Amazon Web Services 52

Amazon Web Services Java AWS Cloud 52

ProjectPro

SEPTEMBER 26, 2021

Many organizations are willing to pay 20-30% more to their Data Engineers than to Data Scientists. Google Trends shows the large-scale demand and popularity of Big Data Engineer compared with other similar roles, such as IoT Engineer, AI Programmer, and Cloud Computing Engineer. Who is a Big Data Engineer?

Big Data 52

Big Data Data Engineering Data Engineer Engineering 52

phData: Data Engineering

JANUARY 3, 2022

Analyzing the data, ensuring it adheres to data governance rules and regulations. Understanding the pros and cons of data storage and query options. 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 Engineering 52

Data Engineering Data Engineer Engineering Data Governance 52

ProjectPro

AUGUST 24, 2021

This is an end-to-end big data project for building a data engineering pipeline involving data extraction, data cleansing, data transformation, exploratory analysis , data visualization, data modeling, and data flow orchestration of event data on the cloud.

Data Engineering 52

Data Engineering Data Engineer Coding Project 52

AltexSoft

MAY 14, 2021

Big Data analytics processes and tools. Data ingestion. The process of identifying the sources and then getting Big Data varies from company to company. It’s worth noting though that data collection commonly happens in real-time or near real-time to ensure immediate processing. Data storage and processing.

Big Data 78

Big Data Data Analytics IT NoSQL 78

ProjectPro

OCTOBER 20, 2021

The orchestration of pipelines can happen on various platforms but are generally integrated with cloud providers such as Microsoft Azure, Amazon Web Services , or Google Cloud Platform at an Enterprise Level. AI Interview Questions and Answers on AI Cloud Services 6) What is an API?

Machine Learning 52

Machine Learning Algorithm Government Data Science 52

ProjectPro

MAY 31, 2021

This project will teach you how to design and implement an event-based data integration pipeline on the Google Cloud Platform by processing data using DataFlow. Snowflake Real-Time Data Warehouse Project for Beginners Snowflake provides a cloud-based analytics and data storage service called "data warehouse-as-a-service."

Big Data 52

Big Data Coding Project Hadoop 52

Snowflake

SEPTEMBER 18, 2023

In early 2022, Snowflake announced the acquisition of Streamlit with the goal of democratizing data apps, by bringing together the best framework for building data applications with the best platform to securely deploy apps at scale. These are powerful tools that help data teams and stakeholders make informed decisions.

Python 118

Python Building Cloud Amazon Web Services 118