Data Engineering Podcast

JUNE 17, 2021

Kirk Marple has spent years working with data systems and the media industry, which inspired him to build a platform for automatically organizing your unstructured assets to make them more valuable. Can you describe what Unstruk Data is and the story behind it? How do you manage data enrichment/integration with structured data sources?

Unstructured Data 100

Unstructured Data Data Warehouse Metadata Media 100

Monte Carlo

AUGUST 25, 2023

Data teams need to balance the need for robust, powerful data platforms with increasing scrutiny on costs. That’s why it’s essential for teams to choose the right architecture for the storage layer of their data stack. But, the options for data storage are evolving quickly.

Data Lake 52

Data Lake Data Warehouse Unstructured Data Raw Data 52

Ascend.io

FEBRUARY 28, 2024

Read More: AI Data Platform: Key Requirements for Fueling AI Initiatives How Data Engineering Enables AI Data engineering is the backbone of AI’s potential to transform industries , offering the essential infrastructure that powers AI algorithms.

Data Engineering 52

Data Engineering Data Engineer Engineering Metadata 52

Cloudera

JUNE 7, 2022

We live in a hybrid data world. In the past decade, the amount of structured data created, captured, copied, and consumed globally has grown from less than 1 ZB in 2011 to nearly 14 ZB in 2020. Impressive, but dwarfed by the amount of unstructured data, cloud data, and machine data – another 50 ZB.

IT 108

IT Unstructured Data Data Architecture Government 108

ProjectPro

FEBRUARY 16, 2023

Data integration with ETL has evolved from structured data stores with high computing costs to natural state storage with read operation alterations thanks to the agility of the cloud. Data integration with ETL has changed in the last three decades. AWS Glue has a central metadata repository called the Glue catalog.

AWS 52

AWS Data Management ETL Tools Management 52

ProjectPro

AUGUST 24, 2016

Facebook Messenger uses HBase architecture and many other companies like Flurry, Adobe Explorys use HBase in production. You might have come across several resources that explain HBase architecture and guide you through HBase installation process. Goibibo uses HBase for customer profiling. HBase helps perform fast read/writes.

Architecture 40

Architecture IT Hadoop NoSQL 40

Monte Carlo

FEBRUARY 26, 2024

A data catalog is a constantly updated inventory of the universe of data assets within an organization. It uses metadata to create a picture of the data, as well as the relationships between data assets of diverse sources, and the processing that takes place as data moves through systems.

Metadata 52

Metadata Government Data Data Governance 52

Monte Carlo

APRIL 24, 2023

Traditionally, after being stored in a data lake, raw data was then often moved to various destinations like a data warehouse for further processing, analysis, and consumption. Databricks Data Catalog and AWS Lake Formation are examples in this vein. AWS is one of the most popular data lake vendors.

Data Lake 52

Data Lake Google Cloud Data Warehouse AWS 52

Rockset

DECEMBER 17, 2021

Below are a few of the artworks that received the most votes: Behind the scenes, SQL Draw is made up of two parts: The core game is built as a Slack app with a totally serverless backend architecture. It also fits well into our architecture with built-in integrations to DynamoDB and Retool.

SQL 52

SQL NoSQL Database Design Metadata 52

RandomTrees

SEPTEMBER 6, 2020

Lot of cloud-based data warehouses are available in the market today, out of which let us focus on Snowflake. Snowflake is an analytical data warehouse that is provided as Software-as-a-Service (SaaS). Built on new SQL database engine, it provides a unique architecture designed for the cloud.

Cloud Storage 52

Cloud Storage Data Ingestion Data Cleanse Data Warehouse 52

Towards Data Science

MARCH 5, 2024

The storage system is using Capacitor, a proprietary columnar storage format by Google for semi-structured data and the file system underneath is Colossus, the distributed file system by Google. depending on location) BigQuery maintains a lot of valuable metadata about tables, columns and partitions.

Bytes 72

Bytes Google Cloud Cloud Storage Utilities 72

ProjectPro

AUGUST 11, 2021

Table of Contents Data Lake vs Data Warehouse - The Differences Data Lake vs Data Warehouse - The Introduction What is a Data warehouse? Data Warehouse Architecture What is a Data lake? Data is generally not loaded into a data warehouse unless a use case has been defined for the data.

Data Lake 52

Data Lake Data Warehouse Cloud Hadoop 52

Data Engineering Weekly

MARCH 24, 2023

Entities and Events are the two functional units for data creation, and the success of your data organization depends on the stability of the Entity and Event creation architecture. Architectural patterns for Data Creation There are three types of architecture patterns in data creation.

Engineering 67

Engineering Data Transportation Database 67

Data Engineering Podcast

FEBRUARY 3, 2019

Open Context is an open access data publishing service for archaeology. It started because we need better ways of dissminating structured data and digital media than is possible with conventional articles, books and reports. What are your protocols for determining which data sets you will work with?

Digital Media 100

Digital Media Media PostgreSQL Datasets 100

Towards Data Science

FEBRUARY 15, 2023

In this context, data management in an organization is a key point for the success of its projects involving data. One of the main aspects of correct data management is the definition of a data architecture. The Lakehouse architecture was one of them. show() The history object is a Spark Data Frame.

Data Lake 80

Data Lake Data Warehouse Hadoop Data Architecture 80

Monte Carlo

APRIL 1, 2021

Data Catalogs Can Drown in a Data Lake Although exceptionally flexible and scalable, data lakes lack the organization necessary to facilitate proper metadata management and data governance. Data discovery tools and platforms can help. Interested in learning how to scale data discovery across your data lake?

Data Lake 52

Data Lake Unstructured Data Data Warehouse Metadata 52

ProjectPro

JANUARY 31, 2023

Data Variety Hadoop stores structured, semi-structured and unstructured data. RDBMS stores structured data. Data storage Hadoop stores large data sets. RDBMS stores the average amount of data. Works with only structured data. Hardware Hadoop uses commodity hardware.

Big Data 52

Big Data Hadoop AWS Relational Database 52

Cloudera

JUNE 25, 2021

Using easy-to-define policies, Replication Manager solves one of the biggest barriers for the customers in their cloud adoption journey by allowing them to move both tables/structured data and files/unstructured data to the CDP cloud of their choice easily. CDP Data Lake cluster versions – CM 7.4.0, Architecture.

Cloud 69

Cloud Data Lake Cloud Storage Metadata 69

Ascend.io

JULY 19, 2023

Ready or not, data mesh is fast becoming an indispensable part of the data landscape. As data leaders, the question isn’t if you’ll cross paths with this emerging architectural pattern. Identifying Domains The shift towards a data mesh implies treating each domain as its own miniature data ecosystem.

Data Governance 40

Data Governance Government Metadata Data 40

Netflix Tech

MARCH 5, 2019

Challenges & Opportunities in the Infra Data Space Security Events Platform for Anomaly Detection How can we develop a complex event processing system to ingest semi-structured data predicated on schema contracts from hundreds of sources and transform it into event streams of structured data for downstream analysis?

Cloud 73

Cloud Building Amazon Web Services Metadata 73

Ascend.io

AUGUST 31, 2023

In the dynamic world of data, many professionals are still fixated on traditional patterns of data warehousing and ETL, even while their organizations are migrating to the cloud and adopting cloud-native data services. Central to this transformation are two shifts.

Data Lake 52

Data Lake ETL Tools Data Warehouse Data Pipeline 52

Snowflake

MARCH 30, 2023

Automation , because the same loader patterns are used for both and the same metadata tags are expected from both, meaning the applied date timestamp in the business vault will match up with the raw date timestamp where it came from. The friction of data movement is reduced. Enter Snowpark !

Engineering 82

Engineering Raw Data Data Science Scala 82

Silectis

JANUARY 3, 2021

Big Query Google’s cloud data warehouse. 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

JANUARY 4, 2023

When your applications access data from each other, it can cause high coupling, i.e., applications are highly interdependent on each other. This means that your contract should include metadata about your schema, which you can use to describe your data and add value constraints for certain fields (e.g., temperature).

PostgreSQL 52

PostgreSQL Data Warehouse Data Lake Data 52

Rockset

AUGUST 2, 2023

The steps Windward takes to create proprietary data and AI insights As Windward operated in a batch-based data stack, they stored raw data in S3. They used MongoDB as their metadata store to capture vessel and company data.

Database-centric 52

Database-centric PostgreSQL Transportation Insurance 52

Knowledge Hut

DECEMBER 21, 2023

Mahout Overview: Apache Mahout is an open-source ML library that helps leverage big data computation through Hadoop MapReduce. Since the architecture is flexible, one can easily modify the algorithms. Features: Mahout supports several ML algorithms used for clustering the data, classifying them, regression, etc.

Hadoop 52

Hadoop Big Data NoSQL Unstructured Data 52

Monte Carlo

MARCH 14, 2023

The data team even has a mission statement: to deliver dependable data and algorithms to the company. To make that happen at scale, the data leaders at BlaBlaCar have adopted a modern data stack and a data mesh platform architecture. BlaBlaCar has been a data-driven company for a long time.

Transportation 40

Transportation Government Google Cloud Architecture 40

ProjectPro

NOVEMBER 15, 2021

With SQL, machine learning, real-time data streaming, graph processing, and other features, this leads to incredibly rapid big data processing. DataFrames are used by Spark SQL to accommodate structured and semi-structured data. Calcite has chosen to stay out of the data storage and processing business.

Big Data 52

Big Data Project Metadata Programming Language 52

ProjectPro

NOVEMBER 22, 2021

It's easier to use Python's expressiveness to modify data in tabular format, thanks to PySpark's DataFrame API architecture. Apart from this, Runtastic also relies upon PySpark for their Big Data sanity checks. PySpark imports the StructType class from pyspark.sql.types to describe the DataFrame's structure.

Hadoop 52

Hadoop Python Datasets Metadata 52

Rockset

JANUARY 28, 2020

Aside from video data from each camera-equipped store, Standard deals with other data sets such as transactional data, store inventory data that arrive in different formats from different retailers, and metadata derived from the extensive video captured by their cameras.

Retail 40

Retail Google Cloud Raw Data Data Lake 40

ProjectPro

APRIL 26, 2016

Pig vs Hive Criteria Pig Hive Type of Data Apache Pig is usually used for semi structured data. Used for Structured Data Schema Schema is optional. Language It is a procedural data flow language. Hive Metastore is a central repository that stores metadata in external database.

Hadoop 40

Hadoop Metadata SQL Database 40

Monte Carlo

JUNE 28, 2023

These are the world of data and the data warehouse that is focused on using structured data to answer questions about the past and the world of AI that needs more unstructured data to train models to predict the future. From his perspective, this can only be done efficiently with platforms. With Delta Lake 3.0

Data Warehouse 52

Data Warehouse Scala Unstructured Data Government 52

Monte Carlo

JANUARY 25, 2023

So, the decision to build vs buy data warehouse solutions—or any other storage and compute architecture—is one that requires a a deep understanding of your organization and what you hope to achieve. Data lake On the other side of the storage and compute coin, a data lake is all about flexibility.

Data Warehouse 40

Data Warehouse Building Data Lake Data Storage 40

AltexSoft

JULY 19, 2022

In the last few decades, we’ve seen a lot of architectural approaches to building data pipelines , changing one another and promising better and easier ways of deriving insights from information. There have been relational databases, data warehouses, data lakes, and even a combination of the latter two. What data mesh IS.

Architecture 52

Architecture Data Lake Medical Datasets 52

ProjectPro

OCTOBER 15, 2014

Hive- Performance Benchmarking Hive vs Pig Pig vs Hive - Differences Pig Hive Procedural Data Flow Language Declarative SQLish Language For Programming For creating reports Mainly used by Researchers and Programmers Mainly used by Data Analysts Operates on the client side of a cluster. Does not have a dedicated metadata database.

Hadoop 52

Hadoop Unstructured Data Java SQL 52

ProjectPro

AUGUST 24, 2021

If you are a newbie in data engineering and are interested in exploring real-world data engineering projects, check out the list of best data engineering project examples below. With the trending advance of IoT in every facet of life, technology has enabled us to handle a large amount of data ingested with high velocity.

Data Engineering 52

Data Engineering Data Engineer Coding Project 52

ProjectPro

OCTOBER 20, 2021

AutoKeras focuses on making machine learning and deep learning more accessible with the help of Neural Architecture Search. Auto-Weka : Weka is a top-rated java-based machine learning software for data exploration. It is a function to find the best model with minimal knowledge or effort from the Data Scientist.

Machine Learning 52

Machine Learning Algorithm Government Data Science 52