ProjectPro

FEBRUARY 8, 2023

Smooth Integration with other AWS tools AWS Glue is relatively simple to integrate with data sources and targets like Amazon Kinesis, Amazon Redshift, Amazon S3, and Amazon MSK. It is also compatible with other popular data storage that may be deployed on Amazon EC2 instances.

AWS 98

AWS Scala Metadata Data Lake 98

Knowledge Hut

DECEMBER 26, 2023

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. The average salary of a Data Engineer in Amazon is $109,000.

Data Engineering 98

Data Engineering Data Engineer Engineering Pipeline-centric 98

Knowledge Hut

JUNE 20, 2023

Both businesses and people use electronic data storage. Software engineers must be able to do research, enter new data lines in a table format, and update a system with further information. In addition, they know how to protect a database and create data backups to keep a company's information safe from unforeseen events.

Programming Language 52

Programming Language Java Amazon Web Services Software Engineer 52

Knowledge Hut

DECEMBER 4, 2023

A cloud provider leases infrastructure and technology to other businesses or individual people for computing, networking or storage purposes. The top 3 major providers as of this date are Amazon Web Services (AWS), Microsoft Azure and Google Cloud Platform (GCP), with AWS leading the market.

Cloud Computing 52

Cloud Computing Cloud Google Cloud AWS 52

Knowledge Hut

DECEMBER 22, 2023

For those aspiring to become a cloud professional, Amazon Web Services (AWS) is one of their dream companies. Thus, it is a common practice among aspirants to go for professional Amazon AWS training courses, which can help prepare them for the certification exam as well as their career in the company.

AWS 40

AWS Recruitment Amazon Web Services Certification 40

Edureka

FEBRUARY 6, 2023

Data engineers are in charge of creating and translating computer algorithms into prototype code, as well as organizing, maintaining, and identifying trends in large data sets. Cognizant According to Payscale, the average salary of an Azure Data Engineer is ₹773,031.

Data Engineering 52

Data Engineering Data Engineer Engineering Amazon Web Services 52

Knowledge Hut

APRIL 25, 2023

Looker also provides an SQL-based interface for querying and analyzing data, which makes it easy for data engineers to integrate with existing tools and applications. Key features: Interactive data exploration Real-time reporting Easy data modeling 3. It can add more processing power and storage as the data grows.

Data Engineering 52

Data Engineering Data Engineer Engineering Google Cloud 52

Knowledge Hut

NOVEMBER 17, 2023

It is often used as a way of virtualizing a company's IT infrastructure, allowing employees to connect to their data from any location. Cloud computing is used for everything from storing documents to running applications and can be broken down into two different types: public cloud and private cloud.

Cloud Computing 52

Cloud Computing Cloud Google Cloud Amazon Web Services 52

ProjectPro

FEBRUARY 25, 2022

Once you ingest data into the pipeline, the feature engineering process begins. It stores all the generated features in a feature data repository. It transfers the output of features to the online feature data storage upon completion of each pipeline, allowing for easy data retrieval.

Machine Learning 52

Machine Learning Building Amazon Web Services AWS 52

Knowledge Hut

JULY 26, 2023

Database Software- Document Store (e.g.-MongoDB): MongoDB): MongoDB is a prominent database software that comes under the category of "document store" databases. Document store databases, such as MongoDB, are intended to store and manage data that is unstructured or semi-structured, such as documents.

Database 52

Database NoSQL Telecommunication MongoDB 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. 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

APRIL 25, 2024

Although no such attack has been documented, the threat is genuine. Mirai-infected devices (which became "zombies") were used to launch the world's first 1Tbps Distributed Denial-of-Service (DDoS) attack on servers at the heart of internet services in September 2016. Both of these attacks have the potential to be lethal.

Medical 52

Medical Manufacturing Healthcare Electronics 52

Knowledge Hut

JUNE 26, 2023

From analysts to Big Data Engineers, everyone in the field of data science has been discussing data engineering. When constructing a data engineering project, you should prioritize the following areas: Multiple sources of data (APIs, websites, CSVs, JSON, etc.) The data flow is outlined below by Dr. Hussain.

Data Engineering 98

Data Engineering Data Engineer Coding Project 98

Knowledge Hut

APRIL 12, 2023

Gather and Store Metrics: Azure enables the collection and storage of metrics, which can assist in identifying efficient strategies. Virtual Hard Drives: Azure offers virtual hard drives (VHDs) that offer a significant amount of data storage. VHDs are extensions of virtual machines used for storing large amounts of data.

Cloud Computing 52

Cloud Computing Amazon Web Services Certification Cloud 52

Cloudera

OCTOBER 25, 2022

If you want to expand to services like Hue, Presto, or Jupyter you can refer to third-party documentation on Knox and Auth0 integration. Authorization provides data and resource access controls as well as column-level filtering to secure sensitive data. Make sure you have encryption for data in motion as well as at rest.

Cloud 52

Cloud AWS Data Lake Amazon Web Services 52

Monte Carlo

JUNE 14, 2023

In this post, we will help you quickly level up your overall knowledge of data pipeline architecture by reviewing: Table of Contents What is data pipeline architecture? Why is data pipeline architecture important? This is frequently referred to as a 5 or 7 layer (depending on who you ask) data stack like in the image below.

Data Pipeline 52

Data Pipeline Architecture Data Lake Data Warehouse 52

AltexSoft

MAY 14, 2021

A growing number of companies now use this data to uncover meaningful insights and improve their decision-making, but they can’t store and process it by the means of traditional data storage and processing units. Key Big Data characteristics. Data storage and processing.

Big Data 78

Big Data Data Analytics IT NoSQL 78

Monte Carlo

AUGUST 19, 2023

We’ll cover: What is a data platform? Below, we share what the “basic” data platform looks like and list some hot tools in each space (you’re likely using several of them): The modern data platform is composed of five critical foundation layers. Data Storage and Processing The first layer?

Building 52

Building BI Data Lake Data Governance 52

phData: Data Engineering

JULY 18, 2023

Zero Copy Cloning: Create multiple ‘copies’ of tables, schemas, or databases without actually copying the data. This noticeably saves time on copying and drastically reduces data storage costs. Enhance data quality by rebuilding and documenting data transformations starting from the operational data sources.

Data Warehouse 52

Data Warehouse Pipeline-centric Government Data 52

ProjectPro

AUGUST 18, 2021

Tableau allows us to connect and pull data from various platforms. Tableau supports data extraction from simple data storage systems such as MS Excel or MS Access and intricate database systems like Oracle. Tableau Server Interview Questions 14. Mention all the primary components of the Tableau Server.

BI 40

BI Database-centric SQL Software Engineer 40

ProjectPro

DECEMBER 10, 2021

The service provider's data center hosts the underlying infrastructure, software, and app data. Azure Redis Cache is an in-memory data storage, or cache system, based on Redis that boosts the flexibility and efficiency of applications that rely significantly on backend data stores. Explain Azure Redis Cache.

BI 52

BI Cloud Computing SQL Database 52