Data Engineering Podcast

APRIL 22, 2019

Summary One of the biggest challenges for any business trying to grow and reach customers globally is how to scale their data storage. FaunaDB is a cloud native database built by the engineers behind Twitter’s infrastructure and designed to serve the needs of modern systems. Can you describe the query format?

Database 100

Database Cloud NoSQL Scala 100

Knowledge Hut

OCTOBER 12, 2023

With more organizations embracing cloud computing and digitalization, there has been a surge in the need for individuals who can design and manage the systems and services people rely on. This comprises cloud adoption strategy, cloud application design, cloud management and monitoring, and cloud management and surveillance.

Cloud 52

Cloud Cloud Computing AWS Certification 52

Knowledge Hut

OCTOBER 3, 2023

Additionally, for a job in data engineering, candidates should have actual experience with distributed systems, data pipelines, and related database concepts. First and foremost, the training institute needs to have a solid reputation for offering high-quality instruction in data engineering and cloud computing.

Data Engineering 52

Data Engineering Data Engineer Engineering Cloud Computing 52

Knowledge Hut

NOVEMBER 28, 2023

With a plethora of new technology tools on the market, data engineers should update their skill set with continuous learning and data engineer certification programs. What do Data Engineers Do? As a Data Engineer, you must: Work with the uninterrupted flow of data between your server and your application.

Data Engineering 52

Data Engineering Data Engineer Engineering Generalist 52

Knowledge Hut

OCTOBER 3, 2023

Microsoft Azure Fundamentals (AZ-900) AZ-900 certification is a fundamental course designed for professionals in the early days of cloud computing. Further proficiency in visualizing data, analyzing data by using Transact-SQL (T-SQL), and querying relational databases will come handy.

Certification 52

Certification Cloud Computing Machine Learning SQL 52

Cloud Academy

JANUARY 27, 2022

Data engineering is the process of designing and implementing solutions to collect, store, and analyze large amounts of data. The data then gets prepared in formats to be used by people such as business analysts, data analysts, and data scientists. Data engineers design, test and maintain data.

Certification 52

Certification Data Engineering Data Engineer Engineering 52

Knowledge Hut

SEPTEMBER 29, 2023

Azure Data Engineer Certification Cost DP 203 exam Cost : $165 Exam Details Exam Duration: 150 minutes Number of questions: 40 to 60 Passing Marks: 700/1000 Exam syllabus: When it comes to the way it designs its exams, Microsoft is incredibly open. Then, you can create analytical layer serving designs.

Certification 52

Certification Data Engineering Data Engineer Engineering 52

Silectis

JANUARY 3, 2021

Data Architecture Data architecture is a composition of models, rules, and standards for all data systems and interactions between them. Data Catalog An organized inventory of data assets relying on metadata to help with data management.

Data Engineering 40

Data Engineering Data Engineer Engineering Hadoop 40

Knowledge Hut

JUNE 20, 2023

Top Database Research Topics Blurring the Lines between Blockchains and Database Systems The intersection of blockchain technology and database systems offers fertile new grounds to anyone interested in database research. This research will yield innovative solutions for data management.

Database 52

Database Java Education Data Collection 52

ProjectPro

FEBRUARY 21, 2023

Due to the enormous amount of data being generated and used in recent years, there is a high demand for data professionals, such as data engineers, who can perform tasks such as data management, data analysis, data preparation, etc.

Certification 52

Certification Data Engineering Data Engineer Engineering 52

Data Engineering Podcast

FEBRUARY 27, 2022

In this episode Tobias Macey, the host of the show, reflects on his plans for building a data platform and what he has learned from running the podcast that is influencing his choices. Atlan is a collaborative workspace for data-driven teams, like Github for engineering or Figma for design teams.

Designing 100

Designing Metadata Data Lake Relational Database 100

ProjectPro

APRIL 1, 2016

GlobeNewsWire.com Cloudera – the global provider of the easiest and the most secure data management to be built of Apache Hadoop , recently announced that recently it has moved from the Challengers to the Visionaries position in the 2016 Gartner Magic Quadrant for Data Warehouse and Data Management solution for analytics.

Hadoop 52

Hadoop BI Big Data Big Data Tools 52

Knowledge Hut

APRIL 25, 2024

Back-end development refers to designing, altering, and fixing the software part of a website. Knowledge of Popular Frameworks Backend developers use certain tools to design the architecture of a website. Creation and management of application programming interfaces (APIs). Go for the best Web Development courses and stay ahead.

Programming Language 98

Programming Language Java Algorithm MySQL 98

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 the demand for data engineers grows, having a well-written resume that stands out from the crowd is critical.

Data Engineering 52

Data Engineering Data Engineer Engineering Amazon Web Services 52

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

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. Data Integration 3.Scalability

Hadoop 52

Hadoop Project Big Data Healthcare 52

Knowledge Hut

MARCH 15, 2024

Making decisions in the database space requires deciding between RDBMS (Relational Database Management System) and NoSQL, each of which has unique features. RDBMS uses SQL to organize data into structured tables, whereas NoSQL is more flexible and can handle a wider range of data types because of its dynamic schemas.

NoSQL 52

NoSQL Database-centric Relational Database PostgreSQL 52

Edureka

FEBRUARY 9, 2023

The role of Azure Data Engineer is in high demand in the field of data management and analytics. As an Azure Data Engineer, you will be in charge of designing, building, deploying, and maintaining data-driven solutions that meet your organization’s business needs. According to the 2020 U.S.

Data Engineering 52

Data Engineering Data Engineer Engineering Data Mining 52

ProjectPro

JANUARY 19, 2022

The use of data has risen significantly in recent years. More people, organizations, corporations, and other entities use data daily. Earlier, people focused more on meaningful insights and analysis but realized that data management is just as important. According to the 2020 U.S.

Data Engineering 52

Data Engineering Data Engineer Engineering Scala 52

Knowledge Hut

MARCH 12, 2024

SQL databases are one of the most widely used types of database systems available. SQL is a structured query language that these databases enable users to utilize for data management, retrieval, and storage. A number of SQL databases are available. High data integrity and scalability.

SQL 52

SQL Relational Database PostgreSQL MySQL 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. Snowflake stores and manages data in the cloud using a shared disk approach, which simplifies data management.

Cloud Storage 52

Cloud Storage Google Cloud Amazon Web Services Data Storage 52

Knowledge Hut

SEPTEMBER 26, 2023

These platforms provide strong capabilities for data processing, storage, and analytics, enabling companies to fully use their data assets. Microsoft Azure's Azure Synapse, formerly known as Azure SQL Data Warehouse, is a complete analytics offering. What is Azure Synapse?

Data Lake 52

Data Lake Database-centric Pipeline-centric Machine Learning 52

Knowledge Hut

SEPTEMBER 6, 2023

What Are Database Certifications Database certifications are invaluable credentials for professionals working within database environments as they validate one's proficiency in specific databases, which are akin to specialized tools designed for storing and retrieving critical information. Data storage options.

Database 52

Database Certification MongoDB MySQL 52

Knowledge Hut

JULY 24, 2023

According to recent studies, the global database market will grow from USD 63.4 SQL is a powerful tool for managing and manipulating relational databases, and it continues to be widely used in the industry today. One of its most significant benefits is its ability to quickly process a vast amount of data.

SQL 52

SQL Database Process NoSQL 52

Knowledge Hut

JUNE 30, 2023

Developed by the famous tech giant Microsoft, SQL Server is a durable DBMS that offers a vast range of features for the management of relational databases. It grants the users capabilities to craft, change, and also delete elements of the database like tables, view in DBMS, indexes, and constraints.

MySQL 52

MySQL Medical Relational Database Healthcare 52

Knowledge Hut

MARCH 14, 2024

Based on the needs of your application, Azure SQL Databases can be deployed using various methods. In this article, I will cover the various aspects of Azure SQL Database. What is Azure SQL Database? It is compatible with spatial, JSON, XML, and relational data structures. This is where the actual databases reside.

Database 52

Database SQL Relational Database BI 52

Knowledge Hut

NOVEMBER 17, 2023

Azure Storage As the name suggests, Azure storage deals with data storage solutions on the Microsoft cloud. It is highly secure and scalable and can be used to store a variety of data objects. They can also use Azure CLI or Azure PowerShell for configuring tasks and data management.

Data Lake 52

Data Lake Programming Language Certification Java 52

Grouparoo

DECEMBER 26, 2021

For data storage, the database is one of the fundamental building blocks. There are many kinds of databases available, each with its strengths and weaknesses. Alternatively, it can be non-autonomous, where a central control function manages all the distributed database instances.

Database 52

Database NoSQL Relational Database Data Storage 52

Rockset

DECEMBER 31, 2022

Along with the complexity of modern business comes the need to process data faster and more robustly. Because of this, standard transactional databases aren’t always the best fit. Instead, databases such as DynamoDB have been designed to manage the new influx of data.

Non-relational Database 52

Non-relational Database Healthcare Amazon Web Services NoSQL 52

Knowledge Hut

DECEMBER 26, 2023

This process helps convert the unstructured data into structured data, which can easily be collected and interpreted using analytical tools. The data pipelines allow businesses to collect data from millions of users and process the results in real-time. Data Engineers use the AWS platform to design the flow of data.

Data Engineering 98

Data Engineering Data Engineer Engineering Pipeline-centric 98

AltexSoft

JUNE 26, 2023

Read our article on Hotel Data Management to have a full picture of what information can be collected to boost revenue and customer satisfaction in hospitality. While all three are about data acquisition, they have distinct differences. Data integration , on the other hand, happens later in the data management flow.

Data Collection 52

Data Collection Machine Learning Unstructured Data Non-relational Database 52

AltexSoft

JUNE 7, 2021

Master Nodes control and coordinate two key functions of Hadoop: data storage and parallel processing of data. Worker or Slave Nodes are the majority of nodes used to store data and run computations according to instructions from a master node. Data storage options. Data management and monitoring options.

Big Data Tools 98

Big Data Tools Hadoop Big Data Database-centric 98

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 AWS Relational Database 52

AltexSoft

NOVEMBER 10, 2021

Well, there’s a new phenomenon in data management that received the name of a data lakehouse. The pun being obvious, there’s more to that than just a new term: Data lakehouses combine the best features of both data lakes and data warehouses and this post will explain this all. Data warehouse.

Architecture 52

Architecture Data Lake Data Warehouse Metadata 52

AltexSoft

SEPTEMBER 21, 2023

Unlike traditional databases that rely on tables and schemas, Elasticsearch employs an index-based structure. These indices are specially designed data structures that map out the data for rapid searches, allowing for the retrieval of queries in milliseconds.

Engineering 52

Engineering NoSQL Programming Language Java 52

Knowledge Hut

NOVEMBER 2, 2023

Data Management and Data Transfer To run HPC applications in the AWS cloud, you need to move the required data into the cloud. There are several data transport solutions designed to securely transfer huge amounts of data. It allows allocating storage volumes according to the size you need.

Amazon Web Services 52

Amazon Web Services AWS IT Transportation 52

ProjectPro

NOVEMBER 15, 2021

DataFrames are used by Spark SQL to accommodate structured and semi-structured data. You can also access data through non-relational databases such as Apache Cassandra, Apache HBase, Apache Hive, and others like the Hadoop Distributed File System. It's an open-source database and data management framework.

Big Data 52

Big Data Project Metadata Programming Language 52