Data Engineering Podcast

SEPTEMBER 3, 2018

Using master data management to build a data catalog helps you answer these questions reliably and simplify the process of building your business intelligence reports. Can you start by establishing a definition of data mastering that we can work from? Is customer number 342 in your ERP the same as Bob Smith on Twitter?

Data Management 100

Data Management Management Relational Database Business Intelligence 100

François Nguyen

MARCH 22, 2021

How do we build data products ? To illustrate that, let’s take Cloud SQL from the Google Cloud Platform that is a “Fully managed relational database service for MySQL, PostgreSQL, and SQL Server” It looks like this when you want to create an instance.

Technology 130

Technology Architecture Google Cloud Metadata 130

Knowledge Hut

SEPTEMBER 22, 2023

A range of Azure data services, including Azure Synapse Analytics, Azure Data Factory, Azure Stream Analytics, and Azure Databricks, are used by Azure Data Engineers to create and build data solutions that are appropriate for their organisation. Is Azure Data Engineer Certification Worth It?

Certification 52

Certification Data Engineering Data Engineer Engineering 52

Engineering at Meta

OCTOBER 31, 2023

SCARF scans data systems to identify each type of data stored (for example, identifying all the tables in a relational database) and, for each of these, determines whether the data is being used. If any of the assets are not in use, SCARF initiates a process to safely remove them.

Data 93

Data Metadata Coding Relational Database 93

Data Engineering Podcast

APRIL 22, 2019

It is definitely worth a good look for anyone building a platform that needs a simple to manage data layer that will scale with your business. On top of that you’ll get access to Analytics Academy for the educational resources you need to become an expert in data analytics for measuring product-market fit.

Database 100

Database Cloud NoSQL Scala 100

ProjectPro

FEBRUARY 8, 2023

This serverless data integration service can automatically and quickly discover structured or unstructured enterprise data when stored in data lakes in Amazon S3, data warehouses in Amazon Redshift, and other databases that are a component of the Amazon Relational Database Service. Use your preferred IDE or notebook.

AWS 98

AWS Scala Metadata Data Lake 98

AltexSoft

JUNE 26, 2023

Data collection is a methodical practice aimed at acquiring meaningful information to build a consistent and complete dataset for a specific business purpose — such as decision-making, answering research questions, or strategic planning. Our experience shows that you definitely need both internal and external data to make accurate forecasts.

Data Collection 52

Data Collection Machine Learning Unstructured Data Non-relational Database 52

Knowledge Hut

APRIL 24, 2024

To understand SQL, you must first understand DBMS (database management systems) and databases in general. Whereas, a database refers to a set of small data units organized in a logical order. Example: When building a new users table, it adds a different constraint to the id column. These are DELETE, UPDATE, and INSERT.

SQL 52

SQL MySQL Database Relational Database 52

Knowledge Hut

JANUARY 9, 2024

It discusses the definition of cloud computing, its evolution, pros, cons, and challenges. 3 Cloud Storage This unit covers cloud storage systems, their concepts, object storage (Ceph, OpenStack Swift, and Amazon S3), databases (DynamoDB, HBase, Cassandra, and MongoDB), and distributed file systems (Ceph FS and HDFS ).

Cloud Computing 52

Cloud Computing Cloud Amazon Web Services Cloud Storage 52

Knowledge Hut

DECEMBER 19, 2023

It is these frameworks that work as tools to simplify and expedite development related to what JavaScript is being used for within each framework. Facebook is a global example that uses language to power and build an online, virtual community. These languages aid users in accessing the site or app that has been developed.

Java 98

Java Programming Language Architecture Database 98

Rockset

MARCH 15, 2022

For a flat-rate price of 10 EUR per device for 10 years, our business customers gain access to a fast, reliable global network – delivered by Deutsche Telekom and its worldwide roaming partners – and strong device management and security features. We next started looking at migrating to a relational database in the cloud using Amazon RDS.

NoSQL 52

NoSQL AWS SQL Database 52

Ascend.io

JANUARY 3, 2023

Fundamentally, we need an approach that holistically supports the infrastructure, technology, and processes to convert raw data into something valuable and accessible. This approach should improve the full data lifecycle, including knowing what data exists, where it is, how to access it, and how to understand it.

Data 52

Data Data Lake Business Intelligence Big Data 52

Knowledge Hut

NOVEMBER 16, 2023

These services form the building blocks of the applications deployed in the cloud. This includes knowledge of building secure and reliable applications using the AWS platform, troubleshooting, disaster recovery, data security practices, deployment of hybrid systems, etc. Amazon Web Services has become an integral part of the IT sector.

AWS 52

AWS Certification Amazon Web Services Machine Learning 52

Cloud Academy

JANUARY 27, 2022

Data engineers are responsible for transforming data into an easily accessible format, identifying trends in data sets, and creating algorithms to make the raw data more useful for business units. The architecture can include relational or non-relational data sources, as well as proprietary systems and processing tools.

Data Engineering 52

Data Engineering Data Engineer Certification Engineering 52

AltexSoft

AUGUST 22, 2022

In this post, we’ll attempt to explain the idea behind a data fabric, its architectural building blocks, the benefits it brings, and ways to approach its implementation. Unified data access. Any data fabric creates a single point of access to multiple source systems of a company via a set of pre-packaged connectors and components.

Architecture 52

Architecture Metadata Data Lake Machine Learning 52

Grouparoo

OCTOBER 6, 2021

8 Beware of Silver-Bullet Syndrome Do not build your professional identity on a specific toolset. If so, find a way to abstract the silos to have one way to access it all. If so, find a way to abstract the silos to have one way to access it all. Could we do better for Grouparoo? Be adaptable. Increase visibility.

Data Engineering 52

Data Engineering Data Engineer Engineering Pipeline-centric 52

Data Engineering Weekly

MARCH 24, 2023

Drawback #1: Not Every Database Supports Transaction The relational database support transaction for multiple mutation statements. However, if you use systems like DynamoDB, the transaction support falls under the application or the Data Access Layer. As with any other system, the outbox pattern has its problems too.

Engineering 67

Engineering Data Transportation Database 67

AltexSoft

MAY 12, 2023

Definition and examples Unstructured data , in its simplest form, refers to any data that does not have a pre-defined structure or organization. Unlike structured data, which is organized into neat rows and columns within a database, unstructured data is an unsorted and vast information collection. What is unstructured data?

Unstructured Data 59

Unstructured Data NoSQL Hadoop Data Lake 59

Knowledge Hut

DECEMBER 26, 2023

These data have been accessible to us because of the advanced and latest technologies which are used in the collection of data. Data Engineers are engineers responsible for uncovering trends in data sets and building algorithms and data pipelines to make raw data beneficial for the organization. What is the role of a Data Engineer?

Data Engineering 98

Data Engineering Data Engineer Engineering Pipeline-centric 98

ProjectPro

FEBRUARY 16, 2023

The demand for skilled data engineers who can build, maintain, and optimize large data infrastructures does not seem to slow down any sooner. Data engineers are responsible for these data integration and ELT tasks, where the initial step requires extracting data from different types of databases/files, such as RDBMS, flat files, etc.

Data Engineering 52

Data Engineering Data Engineer SQL Engineering 52

Zalando Engineering

JUNE 30, 2021

As a preparation for wider adoption of Kotlin, we collected internal good practices as well as the definition of tools and libraries for the development of RESTful backend services and Android apps with Kotlin that are recommended as default choices. API linting can also be required to pass for MUST validations on every build.

Scala 40

Scala Java Relational Database Consulting 40

Edureka

FEBRUARY 7, 2023

In this case, the service provider creates a managed service that allows users to access these services on demand. 6) Which Azure service would you use to build a data warehouse? For data access, Synapse SQL, an enhanced version of TSQL, is used. 2) What is Azure’s primary ETL service?

Data Engineering 52

Data Engineering Data Engineer Engineering Data Lake 52

AltexSoft

NOVEMBER 23, 2021

To break data silos and speed up access to all enterprise information, organizations can opt for an advanced data integration technique known as data virtualization. In simple terms, data remains in original sources while users can access and analyze it virtually via special middleware. Real-time access. Single point of failure.

Process 69

Process Data Lake Metadata Data Warehouse 69

Knowledge Hut

JULY 7, 2023

To understand more about the basics of relational databases, SQL, and MySQL to perform thorough data analytics through live, interactive sessions, quizzes, assignments, and hands-on projects, you can check out this online SQL course. One can use these SQL projects for resume building or even use these SQL projects for practice.

SQL 52

SQL Coding Project Hospitality 52

Knowledge Hut

JANUARY 30, 2024

Data extraction vs. data mining Aspect Data Extraction Data Mining Definition The process of retrieving specific, usable data from unstructured or semi-structured sources. API (Application Programming Interface) Access : Many platforms and services offer APIs that allow for systematic data retrieval.

ETL Tools 52

ETL Tools Database-centric Data Mining Data Cleanse 52

Big Data Tools

OCTOBER 5, 2021

An interesting nuance: it has a very nice user interface that allows users to build charts and change queries interactively! PostgreSQL 14 – Sometimes I forget, but traditional relational databases play a big role in the lives of data engineers. And of course, PostgreSQL is one of the most popular databases.

Data Engineering 52

Data Engineering Data Engineer Engineering Big Data Tools 52

Big Data Tools

OCTOBER 5, 2021

An interesting nuance: it has a very nice user interface that allows users to build charts and change queries interactively! PostgreSQL 14 – Sometimes I forget, but traditional relational databases play a big role in the lives of data engineers. And of course, PostgreSQL is one of the most popular databases.

Data Engineering 52

Data Engineering Data Engineer Engineering Big Data Tools 52

AltexSoft

MARCH 14, 2023

to build products and services for various purposes. While the open-source part is definitely a good thing, it requires a high level of expertise as there’s often no GUI. Databases store key information that powers a company’s product, such as user data and product data. Modern data stack architecture.

IT 59

IT Data Warehouse Data Governance Data Lake 59

ProjectPro

DECEMBER 17, 2021

NoSQL databases are designed to store unstructured data like graphs, documents, etc., whereas SQL databases deal with structured data in tables. Build Professional SQL Projects for Data Analysis with ProjectPro Also, a fun fact? SQL is the standard programming language for many database systems.

Data Science 52

Data Science SQL NoSQL Programming Language 52

ProjectPro

FEBRUARY 21, 2023

Professional certifications can offer data engineers a competitive advantage and help them build or advance their careers. Data engineers and their skills play a crucial role in the success of an organization by making it easier for data scientists , data analysts , and decision-makers to access the data they need to do their jobs.

Certification 52

Certification Data Engineering Data Engineer Engineering 52

ProjectPro

JULY 27, 2021

Differentiate between relational and non-relational database management systems. Relational Database Management Systems (RDBMS) Non-relational Database Management Systems Relational Databases primarily work with structured data using SQL (Structured Query Language).

Data Engineering 40

Data Engineering Data Engineer Engineering Hadoop 40

Edureka

JULY 18, 2023

If you are willing to look for a career in data analytics, you should definitely refer to this video to get a kick start on your career. 4) Tableau Tableau was founded in 2003 as a result of a computer science project at Stanford that aimed to improve the flow of analysis and make data more accessible to people through visualization.

Data Analytics 40

Data Analytics Telecommunication Retail Manufacturing 40

Netflix Tech

NOVEMBER 4, 2019

Specifically, how our team uses the relationships and schemas defined within GraphQL to automatically build and maintain a search database. Our team builds the tools to produce and distribute these marketing creatives at a global scale, powering 10s of billions of impressions every month! GraphQL makes this aggregation easy.

Kafka 96

Kafka Algorithm Database Relational Database 96

AltexSoft

JULY 29, 2022

A master node called NameNode maintains metadata with critical information, controls user access to the data blocks, makes decisions on replications, and manages slaves. Streaming analytics became possible with the introduction of Apache Kafka , Apache Spark , Apache Storm , Apache Flink , and other tools to build real-time data pipelines.

Hadoop 59

Hadoop Big Data Google Cloud NoSQL 59

ProjectPro

JANUARY 19, 2022

We will cover it all, from its definition, skills, responsibilities to the significance of data engineer in an institution. Making raw data more readable and accessible falls under the umbrella of a data engineer’s responsibilities. Build and execute data ETL solution pipelines for multiple clients in different industries.

Data Engineering 52

Data Engineering Data Engineer Engineering Amazon Web Services 52

Monte Carlo

AUGUST 8, 2023

The Definitive Guide to Data Validation Testing Data validation testing ensures your data maintains its quality and integrity as it is transformed and moved from its source to its target destination. Step 1: Collect requirements You need to collect requirements before you build or code any part of the data pipeline.

Data Validation 52

Data Validation Data Pipeline SQL Data 52

Cloudera

DECEMBER 12, 2018

I would like to start off by asking you to tell us about your background and what kicked off your 20-year career in relational database technology? Greg Rahn: I first got introduced to SQL relational database systems while I was in undergrad. Hi Greg, thank you for joining us today. you name it.

Data Warehouse 42

Data Warehouse Relational Database Hadoop BI 42