Data Engineering Podcast

AUGUST 3, 2020

This was an informative and enlightening conversation with two experts on graph data applications that will help you start on the right track in your own projects. If you hand a book to a new data engineer, what wisdom would you add to it? Can you start by explaining what your goals are for the Practitioner’s Guide To Graph Data?

NoSQL 100

NoSQL Database Algorithm Relational Database 100

Knowledge Hut

APRIL 25, 2024

NoSQL databases are designed for scalability and flexibility, making them well-suited for storing big data. The most popular NoSQL database systems include MongoDB, Cassandra, and HBase. There are a number of different Big Data tools and techniques available, including Apache Hadoop, NoSQL databases, and MapReduce.

Big Data 98

Big Data Technology Hadoop NoSQL 98

AltexSoft

JUNE 7, 2021

MapReduce performs batch processing only and doesn’t fit time-sensitive data or real-time analytics jobs. Data engineers who previously worked only with relational database management systems and SQL queries need training to take advantage of Hadoop. Data storage options. Complex programming environment.

Big Data Tools 98

Big Data Tools Hadoop Big Data Database-centric 98

AltexSoft

MAY 14, 2021

And most of this data has to be handled in real-time or near real-time. Variety is the vector showing the diversity of Big Data. This data isn’t just about structured data that resides within relational databases as rows and columns. What is Big Data analytics? NoSQL databases.

Big Data 78

Big Data Data Analytics IT NoSQL 78

Knowledge Hut

JULY 24, 2023

Disruptive Database Technologies All existing and upcoming businesses are adopting innovative ways of handling data. Disruptive database technologies are on them. With these technologies, businesses and organizations enhance their data management procedures, upgrade their knowledge, and make better decisions using data.

Database 52

Database NoSQL Management Relational Database 52

Edureka

AUGUST 18, 2024

Using queries to SQL language and back-end nodes that communicate with databases are essential aspects of this, which form the entire impetus. Two types of databases are used in the development process – Relational Databases: MySQL PostgreSQL Microsoft SQL Server Oracle Database Non-Relational Databases: MongoDB Cassandra 12.

Programming Language 98

Programming Language Java Non-relational Database Database 98

Knowledge Hut

JULY 26, 2023

Database applications have become vital in current business environments because they enable effective data management, integration, privacy, collaboration, analysis, and reporting. It includes the tools and functionality required to create, store, retrieve, and modify data in a database.

Database 52

Database NoSQL MongoDB Telecommunication 52

Grouparoo

DECEMBER 26, 2021

Alternatively, it can be non-autonomous, where a central control function manages all the distributed database instances. This requires complex interfacing between the distributed database instances to manage different operating mechanisms and interfaces. What are the Different Types of Database Implementations?

Database 52

Database NoSQL Relational Database Data Storage 52

DareData

JANUARY 30, 2023

For data scientists, these skills are extremely helpful when it comes to manage and build more optimized data transformation processes, helping models achieve better speed and relability when set in production. Airflow is written in Python and has a web-based user interface for managing and monitoring pipelines.

Data Engineering 52

Data Engineering Data Engineer NoSQL Engineering 52

Cloudera

AUGUST 31, 2021

The Accenture Smart Data Transition Toolkit is also tightly integrated with Cloudera Data Platform for cloud data management and Cloudera Shared Data Experiences for secure, self-service analytics. Each of these accelerators support multiple legacy systems, including Teradata, Netezza, Oracle, etc.

Data Warehouse 82

Data Warehouse Database-centric Metadata Cloud 82

AltexSoft

FEBRUARY 11, 2023

Data architecture is the organization and design of how data is collected, transformed, integrated, stored, and used by a company. Bad data management be like, Source: Makeameme Data architects are sometimes confused with other roles inside the data science team.

Data Architect 87

Data Architect Certification Generalist Big Data 87

Knowledge Hut

APRIL 25, 2024

DSA (Data Structures and Algorithms) It's also advised to have a solid understanding of data structures and algorithms if you want to become an excellent backend developer. To avoid memory leaking, effective data management and retrieval are essential. Some of them are PostgreSQL, MySQL, MongoDB, etc.

Programming Language 98

Programming Language Java Algorithm MySQL 98

Monte Carlo

JANUARY 5, 2024

A visualization of the flow of data in data lakehouse architecture vs. data warehouse and data lake. Innovations in data lakehouse architecture have been an important step toward more flexible and powerful data management systems. Image courtesy of Databricks.

Architecture 52

Architecture Data Lake Metadata Unstructured Data 52

Monte Carlo

JANUARY 5, 2024

A visualization of the flow of data in data lakehouse architecture vs. data warehouse and data lake. Innovations in data lakehouse architecture have been an important step toward more flexible and powerful data management systems. Image courtesy of Databricks.

Architecture 52

Architecture Data Lake Metadata Unstructured Data 52

Rockset

DECEMBER 31, 2022

Storage of inconsistent schema items If your data objects are required to be stored in inconsistent schemas, DynamoDB can manage that. Automatic data management DynamoDB constantly creates a backup of your data for safety purposes which allows owners to have data saved on the cloud.

Non-relational Database 52

Non-relational Database Healthcare NoSQL Amazon Web Services 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.

Database 52

Database SQL Process NoSQL 52

LinkedIn Engineering

JANUARY 16, 2024

At the heart of this system was a reliance on a relational database, Oracle, which served as the repository for all member restrictions data. Figure 2: Relational database schema We adopted a pragmatic and scalable approach by distributing member restrictions across different Oracle tables.

Kafka 84

Kafka Relational Database Java Database 84

Knowledge Hut

DECEMBER 26, 2023

SQL Database SQL or Structured Query Language is a programming language that allows a user to store, query, and manipulate data in relational database management systems. NoSQL is a distributed data storage that is becoming increasingly popular.

Data Engineering 98

Data Engineering Data Engineer Engineering Hadoop 98

Knowledge Hut

MARCH 27, 2024

Supports complex query relationships and ensures data integrity. Commonly used in business and web development for structured data storage. Ideal for applications requiring comprehensive and organized data management. Data Structure: Primarily used for organizing and optimizing data within algorithms.

Database 52

Database Relational Database Algorithm Data Storage 52

Knowledge Hut

DECEMBER 29, 2023

A Data Engineer is someone proficient in a variety of programming languages and frameworks, such as Python, SQL, Scala, Hadoop, Spark, etc. One of the primary focuses of a Data Engineer's work is on the Hadoop data lakes. NoSQL databases are often implemented as a component of data pipelines.

Data Science 98

Data Science Data Mining Deep Learning Programming Language 98

AltexSoft

MAY 12, 2023

Unstructured data refers to information that lacks a predefined format or organization. In contrast, big data refers to large volumes of structured and unstructured data that are challenging to process, store, and analyze using traditional data management tools. Common formats include XML, JSON, and CSV.

Unstructured Data 59

Unstructured Data NoSQL Hadoop Data Lake 59

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

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

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

Striim

SEPTEMBER 11, 2024

It typically includes large data repositories designed to handle varying types of data efficiently. Data Warehouses: These are optimized for storing structured data, often organized in relational databases. Schedule a demo today to discover how Striim can transform your data management strategy.

Data Pipeline 98

Data Pipeline Designing Data Lake Data Warehouse 98

Databand.ai

AUGUST 30, 2023

DataOps is a collaborative approach to data management that combines the agility of DevOps with the power of data analytics. It aims to streamline data ingestion, processing, and analytics by automating and integrating various data workflows.

Architecture 52

Architecture Data Ingestion Data Governance Data Cleanse 52

Knowledge Hut

NOVEMBER 16, 2023

Relational Database Service (RDS): As a component of the relational database, RDS (Relational Database Service) enables the storing of data objects. It makes setting up, running, and scaling well-known relational databases on the cloud simple.

AWS 52

AWS Amazon Web Services Cloud Computing Cloud Storage 52

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

Knowledge Hut

JANUARY 23, 2024

Technical Toolkit: Utilize a technical toolkit that includes languages such as Java and demonstrate a profound understanding of relational databases. Problem-Solving Prowess: Navigate complexities of APIs, implement robust security protocols, and maintain effective communication with UI/UX designers and project managers.

MongoDB 98

MongoDB Programming Language Java MySQL 98

Rockset

DECEMBER 21, 2023

Data modeling in Elasticsearch is not as obvious as it is when dealing with relational databases. Unlike traditional relational databases that rely on data normalization and SQL joins, Elasticsearch requires alternative approaches for managing relationships.

Relational Database 52

Relational Database SQL NoSQL Database 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

AltexSoft

OCTOBER 8, 2021

The bad news is, integrating data can become a tedious task, especially when done manually. Luckily, there are various data integration tools that support automation and provide a unified data view for more efficient data management. Data integration process. They include NoSQL databases (e.g.,

Data Integration 52

Data Integration Hadoop Data Warehouse Data Lake 52

Knowledge Hut

DECEMBER 21, 2023

TablePlus With TablePlus, you can manage both SQL and NoSQL databases, including PostgreSQL, MySQL, and MongoDB. Business owners and business managers can use TablePlus to manage various relational databases, such as SQLite, MySQL, and more. The UI of TablePlus is a simple UI.

PostgreSQL 52

PostgreSQL MySQL MongoDB SQL 52

Edureka

OCTOBER 10, 2024

These include: Azure Services: This is because copying volumes of data from one service to another is very easy with full support for Microsoft Azure Blob Storage, Azure Data Lake Storage Gen 1 and Gen 2, Azure SQL Data Base, and Azure Synapse Analytics. can be ingested in Azure.

MongoDB 40

MongoDB NoSQL Metadata Datasets 40

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

AltexSoft

NOVEMBER 23, 2021

As a result, data virtualization enabled the company to conduct advanced analytics and data science, contributing to the growth of the business. Global investment bank: Cost reduction with more scalable and effective data management. Data virtualization platforms can link to different data sources including.

Process 69

Process Data Lake Metadata Data Warehouse 69

ProjectPro

MAY 2, 2017

After Hortonworks, now the big guy in the big data world - Cloudera is going public but not as a hadoop distribution platform. Cloudera has shown its excitement and interest in presenting itself as a modern platform for data management , machine learning and advanced data analytics.

Hadoop 52

Hadoop Entertainment Data Lake Big Data 52