LinkedIn Engineering

JULY 19, 2023

End-users create relational entities in the form of Tables over structured or semi-structured data using compute engines, with the metadata for a Table stored in a catalog, and data stored in distributed storage. While functional, our current setup for managing tables is fragmented. retention, replication), optimal (e.g.,

Big Data 78

Big Data Data Management Management Metadata 78

KDnuggets

FEBRUARY 15, 2022

From Oracle, to NoSQL databases, and beyond, read about data management solutions from the early days of the RBDMS to those supporting AI applications.

Data Storage 108

Data Storage Database NoSQL Data 108

Data Engineering Podcast

JUNE 3, 2018

Preamble Hello and welcome to the Data Engineering Podcast, the show about modern data management When you’re ready to build your next pipeline you’ll need somewhere to deploy it, so check out Linode. Interview Introduction How did you get involved in the area of data management?

Data Storage 100

Data Storage PostgreSQL Architecture Database 100

Knowledge Hut

JULY 24, 2023

In this digital age, data is king, and how we manage, analyze, and harness its power is constantly evolving. Database management, once confined to IT departments, has become a strategic cornerstone for businesses across industries. In this blog, we will talk about the future of database management.

Database 52

Database NoSQL Management Relational Database 52

KDnuggets

NOVEMBER 9, 2021

In this article we are discussing that HDF5 is one of the most popular and reliable formats for non-tabular, numerical data. This article suggests what kind of ML native data format should be to truly serve the needs of modern data scientists. But this format is not optimized for deep learning work.

Deep Learning 116

Deep Learning Data Storage Data Data Management 116

Data Engineering Podcast

JANUARY 28, 2019

It can be straightforward for small teams and a small number of storage engines, but once either or both of those start to scale then things quickly become complex and difficult to manage. What are some of the most common challenges around managing access and authentication for data storage systems?

Accessible 100

Accessible Accessibility Database Management 100

Knowledge Hut

APRIL 23, 2024

The history of big data takes people on an astonishing journey of big data evolution, tracing the timeline of big data. The Emergence of Data Storage and Processing Technologies A data storage facility first appeared in the form of punch cards, developed by Basile Bouchon to facilitate pattern printing on textiles in looms.

Big Data 52

Big Data Amazon Web Services Media Cloud Computing 52

Knowledge Hut

APRIL 25, 2024

Each of these technologies has its own strengths and weaknesses, but all of them can be used to gain insights from large data sets. As organizations continue to generate more and more data, big data technologies will become increasingly essential. Let's explore the technologies available for big data.

Big Data 98

Big Data Technology NoSQL Hadoop 98

Knowledge Hut

MARCH 27, 2024

Think of a database as a smart, organized library that stores and manages information efficiently. On the other hand, data structures are like the tools that help organize and arrange data within a computer program. Table modeling of the data in standard databases facilitates efficient searching and processing.

Database 52

Database Algorithm Relational Database PostgreSQL 52

Knowledge Hut

MARCH 7, 2024

Companies with expensive facilities and large data centers can greatly be benefitted from the services of Microsoft Azure. The services of Microsoft Azure help in designing, deploying, and managing applications over a worldwide network. With Red Hat Cloud, you can easily modernize, manage, and update your business applications.

Cloud Computing 98

Cloud Computing Amazon Web Services Cloud Google Cloud 98

Knowledge Hut

JANUARY 18, 2024

BI developers must use cloud-based platforms to design, prototype, and manage complex data. To pursue a career in BI development, one must have a strong understanding of data mining, data warehouse design, and SQL. Roles and Responsibilities Write data collection and processing procedures.

Data Science 98

Data Science Business Analyst ETL Method Data Architect 98

Knowledge Hut

APRIL 26, 2024

Companies with expensive facilities and large data centers can greatly be benefitted from the services of Microsoft Azure. The services of Microsoft Azure help in designing, deploying, and managing applications over a worldwide network. With Red Hat Cloud, you can easily modernize, manage, and update your business applications.

Cloud Computing 52

Cloud Computing Amazon Web Services Cloud Google Cloud 52

Databand.ai

JULY 19, 2023

The ELT process relies heavily on the power and scalability of modern data storage systems. By loading the data before transforming it, ELT takes full advantage of the computational power of these systems. This approach allows for faster data processing and more flexible data management compared to traditional methods.

Data Cleanse 52

Data Cleanse Raw Data Data Storage Data Warehouse 52

Snowflake

APRIL 18, 2024

Legacy security information and event management (SIEM) solutions, like Splunk, are powerful tools for managing and analyzing machine-generated data. Legacy SIEM cost factors to keep in mind Data ingestion: Traditional SIEMs often impose limits to data ingestion and data retention.

Data Lake 79

Data Lake Data Ingestion Bytes Cloud Computing 79

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. As a result, they can be slow, inefficient, and prone to errors.

Architecture 52

Architecture Data Ingestion Data Governance Data Cleanse 52

Cloudera

NOVEMBER 1, 2023

The use of Pinecone’s technology with Cloudera creates an ecosystem that facilitates the creation and deployment of robust, scalable, real-time AI applications fueled by an organization’s unique high-value data.

Machine Learning 111

Machine Learning Data Ingestion Database Architecture 111

Snowflake

NOVEMBER 29, 2023

For example, the data storage systems and processing pipelines that capture information from genomic sequencing instruments are very different from those that capture the clinical characteristics of a patient from a site. The principles emphasize machine-actionability (i.e.,

Metadata 84

Metadata Healthcare Medical Data Storage 84

Knowledge Hut

DECEMBER 28, 2023

Today, organizations seek skilled professionals who can harness data’s power to drive informed decisions. As technology evolves, cloud platforms have emerged as the cornerstone of modern data management. Its comprehensive suite of services can handle data at scale. Who is an Azure Data Engineer?

Certification 52

Certification Data Engineering Data Engineer Engineering 52

Data Engineering Podcast

FEBRUARY 27, 2022

Announcements Hello and welcome to the Data Engineering Podcast, the show about modern data management When you’re ready to build your next pipeline, or want to test out the projects you hear about on the show, you’ll need somewhere to deploy it, so check out our friends at Linode.

Designing 100

Designing Metadata Data Lake Relational Database 100

Monte Carlo

MAY 14, 2024

Table formats incorporate aspects like columns, rows, data types, and relationships, but can also include information about the structure of the data itself. Apache ORC (Optimized Row Columnar) : In 2013, ORC was developed for the Hadoop ecosystem to improve the efficiency of data storage and retrieval.

Data Lake 52

Data Lake Metadata Hadoop Data Governance 52

Cloudera

APRIL 22, 2022

Numerous operators are now working with both public and private clouds for their own operational needs — running their networks, managing subscriber data and experience, and enabling greater levels of automation and control. In contrast, the customer-facing cloud and data services offers have been slower to emerge.

Data Solutions 136

Data Solutions Amazon Web Services Data Storage Google Cloud 136

Edureka

FEBRUARY 7, 2023

An Azure Data Engineer is responsible for designing, implementing, and maintaining data management and data processing systems on the Microsoft Azure cloud platform. They work with large and complex data sets and are responsible for ensuring that data is stored, processed, and secured efficiently and effectively.

Data Engineering 52

Data Engineering Data Engineer Engineering Programming Language 52

Knowledge Hut

MAY 9, 2024

Data Architect ScyllaDB Data architects play a crucial role in designing an organization's data management framework by assessing data sources and integrating them into a centralized plan. Average Annual Salary of Data Modeler A data modeler can earn $126,811 annually.

Data Science 52

Data Science Data Mining Data Architect Programming Language 52

Knowledge Hut

MARCH 13, 2024

These large volumes of data are helpful for companies in any sector as nowadays, user data shares equal importance in a company alongside its profits and market share. Technology and business strategies go hand in hand, and data analytics is no exception. The question is, who manages all this data, and how do they do it?

Big Data 52

Big Data Data Engineering Data Engineer Engineering 52

Knowledge Hut

MARCH 13, 2024

These large volumes of data are helpful for companies in any sector as nowadays, user data shares equal importance in a company alongside its profits and market share. Technology and business strategies go hand in hand, and data analytics is no exception. The question is, who manages all this data, and how do they do it?

Big Data 52

Big Data Data Engineering Data Engineer Engineering 52

Knowledge Hut

MARCH 28, 2024

Data Engineer Career: Overview Currently, with the enormous growth in the volume, variety, and veracity of data generated and the will of large firms to store and analyze their data, data management is a critical aspect of data science. That’s where data engineers are on the go.

Data Engineering 52

Data Engineering Data Engineer Engineering Data Warehouse 52

Knowledge Hut

APRIL 25, 2024

Version Control and Version Control Systems It helps track and manage the changes included in the software. As for version control systems , they are tools that enable developers to manage the changes to source code. Creation and management of application programming interfaces (APIs). to manage DBMS.

Programming Language 98

Programming Language Java Algorithm MySQL 98

Data Engineering Podcast

SEPTEMBER 12, 2021

Announcements Hello and welcome to the Data Engineering Podcast, the show about modern data management When you’re ready to build your next pipeline, or want to test out the projects you hear about on the show, you’ll need somewhere to deploy it, so check out our friends at Linode.

Database 100

Database Metadata Kafka Data Storage 100

Data Engineering Podcast

AUGUST 14, 2021

Summary The vast majority of data tools and platforms that you hear about are designed for working with structured, text-based data. What do you do when you need to manage unstructured information, or build a computer vision model? What are the feature and performance tradeoffs between self-managed storage locations (e.g.

Unstructured Data 100

Unstructured Data Machine Learning Data Lake SQL 100

Knowledge Hut

SEPTEMBER 25, 2023

They are moving their servers and on-premises data to Azure Cloud. What does all of this mean for Data Engineering professionals? In order to manage big data and other operational services, businesses are continuously in need of data engineers. Who is an Azure Data Engineer?

Data Engineering 52

Data Engineering Data Engineer Engineering Data Lake 52

Databand.ai

MAY 30, 2023

High-quality data is essential for making well-informed decisions, performing accurate analyses, and developing effective strategies. Data quality can be influenced by various factors, such as data collection methods, data entry processes, data storage, and data integration.

Data Cleanse 85

Data Cleanse Datasets Data Governance Data Validation 85

Knowledge Hut

APRIL 25, 2024

Information Technology is a field that manages and processes information for large-scale organizations or companies. Global companies incline towards using Information Technology to manage and innovate data according to their processes. It helps in storing the data in the CPU. This helps the data set to be identical.

Technology 52

Technology Recruitment Media Cloud Computing 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

Christophe Blefari

JUNE 16, 2023

The power of pre-commit and SQLFluff —SQL is a query programming language used to retrieve information from data storages, and like any other programming language, you need to enforce checks at all times. This is where you should use pre-commit and SQLFluff. He shares what works and what does not work.

Programming Language 130

Programming Language SQL PostgreSQL Data 130

phData: Data Engineering

SEPTEMBER 19, 2023

With the amount of data companies are using growing to unprecedented levels, organizations are grappling with the challenge of efficiently managing and deriving insights from these vast volumes of structured and unstructured data. What is a Data Lake? Consistency of data throughout the data lake.

Data Lake 52

Data Lake Process Metadata Data Warehouse 52

Christophe Blefari

NOVEMBER 11, 2022

Kovid wrote an article that tries to explain what are the ingredients of a data warehouse. A data warehouse is a piece of technology that acts on 3 ideas: the data modeling, the data storage and processing engine. Modeling is often lead by the dimensional modeling but you can also do 3NF or data vault.

BI 130

BI Data Warehouse Data Database 130

Knowledge Hut

JANUARY 18, 2024

As a result, not only are the highest-paying companies for Data scientists working on environmental problems that will affect the whole world, but they are also looking toward the future. The need for data in organizations currently not employing Data Science is immense. What Makes a Data Science Company the Best?

Data Science 98

Data Science Amazon Web Services Finance Big Data 98