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? Satori has built the first DataSecOps Platform that streamlines data access and security.

Unstructured Data 100

Unstructured Data Machine Learning Data Lake SQL 100

Towards Data Science

DECEMBER 15, 2023

Taking a hard look at data privacy puts our habits and choices in a different context, however. Data scientists’ instincts and desires often work in tension with the needs of data privacy and security. Anyone who’s fought to get access to a database or data warehouse in order to build a model can relate.

Machine Learning 93

Machine Learning Data Science Data Security Data Storage 93

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

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

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

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 133

Data Solutions Amazon Web Services Data Storage Google Cloud 133

Knowledge Hut

DECEMBER 21, 2023

Cloud-based storage and analytical platform helps business to easily access their data whenever required irrespective of where it is located physically. Reliability : Cloud providers ensure high reliability to their customers based on their SLA which is useful for the data-driven business to operate 24X7.

Cloud Computing 52

Cloud Computing Cloud Algorithm Healthcare 52

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.

Data Lake 52

Data Lake Architecture IT Amazon Web Services 52

Knowledge Hut

APRIL 23, 2024

With the advent of technology and the arrival of modern communications systems, computer science professionals worldwide realized big data size and value. As big data evolves and unravels more technology secrets, it might help users achieve ambitious targets. Take patient management systems as an example.

Big Data 52

Big Data Media Government Big Data Skills 52

Knowledge Hut

APRIL 23, 2024

It involves processing and analyzing massive datasets that cannot be managed with traditional data processing techniques. Small Data on the other hand, represents relatively smaller data sizes, typically in the order of gigabytes or less. Small Data: Managing privacy and security in Small Data is comparatively easier.

Big Data 52

Big Data Datasets Data Analysis Media 52

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? Want to learn more about data governance?

Data Lake 52

Data Lake Process Metadata Data Warehouse 52

Knowledge Hut

NOVEMBER 17, 2023

They work with various stakeholders to provide real-time data analytics, maintain data quality and integrity, and deliver insightful data to the business. The main duties of an Azure Data Engineer are planning, developing, deploying, and managing the data pipelines. How to Become an Azure Data Engineer?

Data Engineering 52

Data Engineering Data Engineer Engineering Scala 52

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

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

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

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

Monte Carlo

JANUARY 5, 2024

This architecture format consists of several key layers that are essential to helping an organization run fast analytics on structured and unstructured data. It supports ACID transactions and can run fast queries, typically through SQL commands, directly on object storage in the cloud or on-prem on structured and unstructured data.

Architecture 52

Architecture Data Lake Metadata Unstructured Data 52

Monte Carlo

JANUARY 5, 2024

This architecture format consists of several key layers that are essential to helping an organization run fast analytics on structured and unstructured data. It supports ACID transactions and can run fast queries, typically through SQL commands, directly on object storage in the cloud or on-prem on structured and unstructured data.

Architecture 52

Architecture Data Lake Metadata Unstructured Data 52

Cloudera

JUNE 27, 2023

The way to achieve this balance is by moving to a modern data architecture (MDA) that makes it easier to manage, integrate, and govern large volumes of distributed data. When you deploy a platform that supports MDA you can consolidate other systems, like legacy data mediation and disparate data storage solutions.

Data Architecture 62

Data Architecture Architecture Data Governance Government 62

Data Engineering Weekly

MARCH 3, 2024

There will be food, networking, and real-world talks around data engineering. Here is the agenda, 1) Data Application Lifecycle Management - Harish Kumar( Paypal) Hear from the team in PayPal on how they build the data product lifecycle management (DPLM) systems. 4) Building Data Products and why should you?

Data Engineering 67

Data Engineering Data Engineer Pipeline-centric Engineering 67

Databand.ai

JUNE 21, 2023

Data integrity tools are software applications or systems designed to ensure the accuracy, consistency, and reliability of data stored in databases, spreadsheets, or other data storage systems. By doing so, data integrity tools enable organizations to make better decisions based on accurate, trustworthy information.

Data Integration 52

Data Integration Data Cleanse Data Validation Telecommunication 52

Knowledge Hut

JULY 26, 2023

It maps data elements to a hash value using a hashing function, allowing for fast access to data records. Hashing minimizes disk access and comparisons, optimizing database performance. It is commonly used for indexing and searching data based on unique identifiers or keys. What is Hashing in DBMS?

Database 52

Database Data Storage Utilities Coding 52

Towards Data Science

JANUARY 17, 2024

Parquet vs ORC vs Avro vs Delta Lake Photo by Viktor Talashuk on Unsplash The big data world is full of various storage systems, heavily influenced by different file formats. These are key in nearly all data pipelines, allowing for efficient data storage and easier querying and information extraction.

Big Data 73

Big Data Data Data Storage SQL 73

Knowledge Hut

NOVEMBER 2, 2023

An Azure Data Engineer is a professional responsible for designing, implementing, and managing data solutions using Microsoft's Azure cloud platform. They work with various Azure services and tools to build scalable, efficient, and reliable data pipelines, data storage solutions, and data processing systems.

Data Engineering 52

Data Engineering Data Engineer Engineering Pipeline-centric 52

Monte Carlo

APRIL 24, 2023

Data lakes are useful, flexible data storage repositories that enable many types of data to be stored in its rawest state. This significantly improves the ability to manage data at scale within a data lake environment. AWS is one of the most popular data lake vendors.

Data Lake 52

Data Lake Google Cloud Data Warehouse AWS 52

Data Engineering Podcast

JUNE 10, 2018

Summary With the increased ease of gaining access to servers in data centers across the world has come the need for supporting globally distributed data storage. With the first wave of cloud era databases the ability to replicate information geographically came at the expense of transactions and familiar query languages.

PostgreSQL 100

PostgreSQL NoSQL Relational Database SQL 100

Precisely

MARCH 23, 2023

The Data Integrity Capabilities You Need for ESG Reporting Now that we’ve covered why you need to have clear, accurate, and readily accessible data to show the progress of your ESG efforts, let’s walk through a snapshot of what that means for your data management capabilities.

Data Integration 52

Data Integration Government High Quality Data Data 52

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. One of the unique aspects of Fauna that is worth drawing attention to is the first class support for temporality that simplifies querying of historical states of the data.

Database 100

Database Cloud NoSQL Scala 100

Knowledge Hut

JUNE 15, 2023

That is why every organization works towards designing and building structures for proper data storage and analysis. This process of data management is called data engineering. Companies hire experts who are well-versed in data engineering best practices and keep their data management sorted with their help.

Data Engineering 52

Data Engineering Data Engineer Engineering Programming Language 52

Cloudera

NOVEMBER 16, 2022

There is a clear consensus that data teams should express their goals and results in business value terms and not in technical, tactical descriptions, such as “improving data engineering” and “better master data management.” . Or play defense — manage risk for the organization? Change agents.

Insurance 78

Insurance Retail Healthcare Data 78

Data Engineering Weekly

MARCH 24, 2024

Mercado Libre writes about its adoption of Data Mesh, which, necessitated by the company's rapid growth and diverse ecosystem, decentralizes data production across domains, leveraging cultural shifts and technological advancements for independent data management.

Data Engineering 62

Data Engineering Data Engineer Engineering Metadata 62

Knowledge Hut

APRIL 20, 2023

Data governance refers to the set of policies, procedures, mix of people and standards that organisations put in place to manage their data assets. It involves establishing a framework for data management that ensures data quality, privacy, security, and compliance with regulatory requirements.

Data Governance 59

Data Governance Government Data Cleanse Data Security 59

Knowledge Hut

JANUARY 9, 2024

It allows them to seamlessly manage their data, build and deploy applications and enhance the overall performance of their business. This also creates ample demand for cloud computing professionals, acting as an excellent career option for individuals with a data science or computer science background.

Cloud Computing 52

Cloud Computing Computer Science Certification Unstructured Data 52

Knowledge Hut

NOVEMBER 28, 2023

Hence, learning and developing the required data engineer skills set will ensure a better future and can even land you better salaries in good companies anywhere in the world. After all, data engineer skills are required to collect data, transform it appropriately, and make it accessible to data scientists.

Data Engineering 52

Data Engineering Data Engineer Engineering Generalist 52

Data Engineering Podcast

JANUARY 13, 2020

Summary The modern era of software development is identified by ubiquitous access to elastic infrastructure for computation and easy automation of deployment. This requires a new class of data storage which can accomodate that demand without having to rearchitect your system at each level of growth.

SQL 100

SQL PostgreSQL MongoDB Database Design 100

Knowledge Hut

NOVEMBER 19, 2023

It is a computing model based on the internet and it provides on-demand data and shared computer processing to computers and devices. With cloud computing, a pool of computing resources can be shared and accessed. Cloud computing has enabled enterprises and users to store and process data in third-party data storage centers.

Certification 98

Certification Cloud Computing Amazon Web Services AWS 98

Ascend.io

DECEMBER 19, 2023

That’s what we call a data pipeline. It could just as well be ‘ELT for Snowflake’ The key takeaway is that these terms are representative of the actual activity being undertaken: the construction and management of data pipelines within the Snowflake environment.

ETL Tools 52

ETL Tools IT Data Pipeline Data Warehouse 52