Knowledge Hut

NOVEMBER 2, 2023

AWS or the Amazon Web Services is Amazon’s cloud computing platform that offers a mix of packaged software as a service (SaaS), platform as a service (PaaS), and infrastructure as a service (IaaS). In 2006, Amazon launched AWS from its internal infrastructure that was used for handling online retail operations.

Amazon Web Services 52

Amazon Web Services AWS IT Transportation 52

Knowledge Hut

FEBRUARY 29, 2024

According to a database model, the organization of data is known as database design. The designer must decide and understand the data storage, and inter-relation of data elements. Considering this information database model is fitted with data. SQL stands for Structured Query Language.

Data Science 98

Data Science Datasets Machine Learning Database Design 98

DareData

JANUARY 30, 2023

In this post, we'll discuss some key data engineering concepts that data scientists should be familiar with, in order to be more effective in their roles. These concepts include concepts like data pipelines, data storage and retrieval, data orchestrators or infrastructure-as-code.

Data Engineering 52

Data Engineering Data Engineer NoSQL Engineering 52

Edureka

OCTOBER 15, 2024

AWS has come up with a cloud-native database service known as Amazon Aurora. Aurora combines the power and security of business databases. For those new to AWS, exploring AWS Training may help. For those new to AWS, exploring AWS Training may help. It can deepen your understanding of AWS services.

PostgreSQL 52

PostgreSQL MySQL AWS Relational Database 52

phData: Data Engineering

SEPTEMBER 19, 2023

This blog will guide you through the best data modeling methodologies and processes for your data lake, helping you make informed decisions and optimize your data management practices. What is a Data Lake? What are Data Modeling Methodologies, and Why Are They Important for a Data Lake?

Data Lake 52

Data Lake Process Metadata Data Warehouse 52

Precisely

JANUARY 25, 2024

Today’s cloud systems excel at high-volume data storage, powerful analytics, AI, and software & systems development. It frequently also means moving operational data from native mainframe databases to modern relational databases. Let’s examine each of these patterns in greater detail.

Metadata 69

Metadata Relational Database Data Governance Government 69

AltexSoft

AUGUST 29, 2023

In 2010, a transformative concept took root in the realm of data storage and analytics — a data lake. The term was coined by James Dixon , Back-End Java, Data, and Business Intelligence Engineer, and it started a new era in how organizations could store, manage, and analyze their data. Structured data sources.

Data Lake 52

Data Lake Architecture IT Amazon Web Services 52

ProjectPro

JANUARY 31, 2023

Big Data is a collection of large and complex semi-structured and unstructured data sets that have the potential to deliver actionable insights using traditional data management tools. Big data operations require specialized tools and techniques since a relational database cannot manage such a large amount of data.

Big Data 52

Big Data Hadoop Relational Database AWS 52

Edureka

FEBRUARY 9, 2023

Azure Data Engineering is a rapidly growing field that involves designing, building, and maintaining data processing systems using Microsoft Azure technologies. As a certified Azure Data Engineer, you have the skills and expertise to design, implement and manage complex data storage and processing solutions on the Azure cloud platform.

Data Engineering 52

Data Engineering Data Engineer Engineering Amazon Web Services 52

Cloud Academy

JANUARY 27, 2022

These fundamentals will give you a solid foundation in data and datasets. Knowing SQL means you are familiar with the different relational databases available, their functions, and the syntax they use. Have knowledge of regular expressions (RegEx) It is essential to be able to use regular expressions to manipulate data.

Certification 52

Certification Data Engineering Data Engineer Engineering 52

phData: Data Engineering

NOVEMBER 8, 2024

The world we live in today presents larger datasets, more complex data, and diverse needs, all of which call for efficient, scalable data systems. Though basic and easy to use, traditional table storage formats struggle to keep up. Track data files within the table along with their column statistics. Contact phData Today!

Architecture 52

Architecture Systems Data Lake Google Cloud 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. Every software architect must understand when and how to use databases. In AWS, where there are several data storage alternatives, you must be able to choose when to employ each.

Cloud 52

Cloud Cloud Computing Certification AWS 52

Rockset

DECEMBER 31, 2022

Because of Duolingo’s global usage and need for personalized data, DynamoDB is the only database that has been able to meet their needs, both in terms of data storage and DevOps. All these data transactions require a system that is fast on both reads and writes.

Non-relational Database 52

Non-relational Database Healthcare NoSQL Amazon Web Services 52

Knowledge Hut

JULY 26, 2023

It also has strong querying capabilities, including a large number of operators and indexes that allow for quick data retrieval and analysis. Database Software- Other NoSQL: NoSQL databases cover a variety of database software that differs from typical relational databases. Columnar Database (e.g.-

Database 52

Database NoSQL Telecommunication MongoDB 52

Knowledge Hut

MARCH 20, 2024

They are responsible for establishing and managing data pipelines that make it easier to gather, process, and store large volumes of structured and unstructured data. Assembles, processes, and stores data via data pipelines that are created and maintained.

Software Engineer 52

Software Engineer Software Engineering Engineering Java 52

Knowledge Hut

DECEMBER 4, 2023

You host your own platform, similar to YouTube, using a provider like AWS, Azure, or GCP and their streaming service. 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. Below are the services provided by these cloud providers.

Cloud Computing 52

Cloud Computing Cloud Google Cloud AWS 52

Knowledge Hut

APRIL 24, 2024

Azure, Google Cloud, and Amazon AWS are the most preferred cloud service providers. Azure complements the Microsoft systems super well. Scale Your Knowledge Finding an excellent DOTNET developer career requires versatility. Having the generic set of skills to fight for the same job does not add any value to the individual growth.

NoSQL 59

NoSQL Cloud AWS Google Cloud 59

Knowledge Hut

JUNE 23, 2023

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. Pathway 2: How to Become a Certified Data Engineer?

Data Engineering 52

Data Engineering Data Engineer Engineering NoSQL 52

Edureka

FEBRUARY 9, 2023

This demonstrates the high demand for Microsoft Azure Data Engineers. Every year, Azure’s usage graph grows, bringing it closer to AWS. These businesses are transferring their data and servers from on-premises to the Azure Cloud. Data engineers must be well-versed in programming languages such as Python, Java, and Scala.

Data Engineering 52

Data Engineering Data Engineer Engineering Data Mining 52

ProjectPro

FEBRUARY 21, 2023

AWS or Azure? With so many data engineering certifications available , choosing the right one can be a daunting task. This section mainly focuses on the three most valuable and popular vendor-specific data engineering certifications- AWS, Azure , and GCP. Cloudera or Databricks?

Certification 52

Certification Data Engineering Data Engineer Engineering 52

phData: Data Engineering

AUGUST 4, 2023

Data storage is a vital aspect of any Snowflake Data Cloud database. Within Snowflake, data can either be stored locally or accessed from other cloud storage systems. The external stage area includes Microsoft Azure Blob storage, Amazon AWS S3, and Google Cloud Storage.

Cloud Storage 52

Cloud Storage Google Cloud Amazon Web Services Data Storage 52

ProjectPro

JANUARY 19, 2022

This indicates that Microsoft Azure Data Engineers are in high demand. Azure's usage graph grows every year, bringing it closer to AWS. These companies are migrating their data and servers from on-premises to Azure Cloud. Data engineers must thoroughly understand programming languages such as Python, Java, or Scala.

Data Engineering 52

Data Engineering Data Engineer Engineering Data Storage 52

ProjectPro

JANUARY 19, 2022

Data Engineer: Job Growth in Future What do Data Engineers do? Data Engineering Requirements Data Engineer Learning Path: Self-Taught Learn Data Engineering through Practical Projects Azure Data Engineer Vs AWS Data Engineer Vs GCP Data Engineer FAQs on Data Engineer Job Role How long does it take to become a data engineer?

Data Engineering 52

Data Engineering Data Engineer Engineering Amazon Web Services 52

Rockset

MAY 24, 2021

Of AWS users, over half have adopted Lambda , but serverless isn't just Lambda functions. Serverless computing (often just called "serverless") is a model where a cloud provider, like AWS, abstracts away the concept of servers from the user. As serverless gains popularity, so does AWS Lambda. What Is Serverless?

Database 40

Database Google Cloud AWS Cloud Storage 40

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

AltexSoft

NOVEMBER 10, 2021

Prior to the recent advances in data management technologies, there were two main types of data stores companies could make use of, namely data warehouses and data lakes. Data warehouse. Another type of data storage — a data lake — tried to address these and other issues. Data lake.

Architecture 52

Architecture Data Lake Data Warehouse Metadata 52

Knowledge Hut

NOVEMBER 19, 2023

As a result, data engineers working with big data today require a basic grasp of cloud computing platforms and tools. Businesses can employ internal, public, or hybrid clouds depending on their data storage needs, including AWS, Azure, GCP, and other well-known cloud computing platforms.

Data Engineering 52

Data Engineering Data Engineer Engineering PostgreSQL 52

AltexSoft

SEPTEMBER 23, 2021

An ETL approach in the DW is considered slow, as it ships data in portions (batches.) The structure of data is usually predefined before it is loaded into a warehouse, since the DW is a relational database that uses a single data model for everything it stores. Azure Data Factory. Talend Data Integration.

Architecture 52

Architecture Data Lake Unstructured Data Data Warehouse 52

ProjectPro

JANUARY 25, 2022

When it comes to data ingestion pipelines, PySpark has a lot of advantages. PySpark allows you to process data from Hadoop HDFS , AWS S3, and various other file systems. PySpark SQL and Dataframes A dataframe is a shared collection of organized or semi-structured data in PySpark.

Big Data 52

Big Data Data Process Process Kafka 52

Knowledge Hut

NOVEMBER 28, 2023

ETL is central to getting your data where you need it. Relational database management systems (RDBMS) remain the key to data discovery and reporting, regardless of their location. The data storage platform you choose should be optimized to work effectively within your organization's budget constraints.

Data Engineering 52

Data Engineering Data Engineer Engineering Generalist 52

Knowledge Hut

SEPTEMBER 26, 2023

Whether your data is structured, like traditional relational databases, or unstructured, such as textual data, images, or log files, Azure Synapse can manage it effectively. This is particularly valuable in today's data landscape, where information comes in various shapes and sizes.

Data Lake 52

Data Lake Database-centric Pipeline-centric Machine Learning 52

ProjectPro

AUGUST 11, 2021

Any inconsistencies found in the data are removed, and all gaps that can be filled are filled to ensure that the data maintains integrity. Data Warehouse Layer: Once the data is transformed into the required format, it is saved into a central repository. Recommended Reading: Is Hadoop Going To Replace Data Warehouse?

Data Lake 52

Data Lake Data Warehouse Cloud Hadoop 52

ProjectPro

JULY 27, 2021

Below are some big data interview questions for data engineers based on the fundamental concepts of big data, such as data modeling, data analysis , data migration, data processing architecture, data storage, big data analytics, etc. What is meant by Aggregate Functions in SQL?

Data Engineering 40

Data Engineering Data Engineer Engineering Hadoop 40

Rockset

SEPTEMBER 13, 2022

DynamoDB is a NoSQL database provided by AWS. It's a fully managed database, and it has growing popularity in both high-scale applications and in serverless applications. It has direct connectors for a number of primary data stores, including DynamoDB, MongoDB, Kafka, and many relational databases.

SQL 52

SQL Database Relational Database NoSQL 52

ProjectPro

NOVEMBER 14, 2015

Big data has taken over many aspects of our lives and as it continues to grow and expand, big data is creating the need for better and faster data storage and analysis. These Apache Hadoop projects are mostly into migration, integration, scalability, data analytics, and streaming analysis.

Hadoop 52

Hadoop Project Big Data Healthcare 52

Netflix Tech

DECEMBER 14, 2018

Indexing a document into ES can be a high latency operation since it is a relatively more intensive procedure that requires multiple processes coordinating to analyze the document contents, and update several data structures that enable efficient search and queries. NMDB leverages a cloud storage service (e.g.,

Media 95

Media Database Metadata Data Schemas 95

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