Data Engineering Weekly

MARCH 5, 2025

While the Iceberg itself simplifies some aspects of data management, the surrounding ecosystem introduces new challenges: Small File Problem (Revisited): Like Hadoop, Iceberg can suffer from small file problems. Data ingestion tools often create numerous small files, which can degrade performance during query execution.

Hadoop 57

Hadoop Metadata Data Ingestion Data Governance 57

Monte Carlo

MAY 28, 2024

A data ingestion architecture is the technical blueprint that ensures that every pulse of your organization’s data ecosystem brings critical information to where it’s needed most. A typical data ingestion flow. Popular Data Ingestion Tools Choosing the right ingestion technology is key to a successful architecture.

Data Ingestion 52

Data Ingestion Architecture Designing Hadoop 52

Snowflake

NOVEMBER 11, 2024

At BUILD 2024, we announced several enhancements and innovations designed to help you build and manage your data architecture on your terms. Here’s a closer look. Simplify bronze and silver pipelines for Apache Iceberg We are making it even easier to use Iceberg tables with Snowflake at every stage.

Data Architecture 105

Data Architecture Architecture Data Lake Kafka 105

Cloudera

AUGUST 4, 2021

Factors to be considered in when implementing a predictive maintenance solution: Complexity: Predictive maintenance platforms must enable real-time analytics on streaming data, ingesting, storing, and processing streaming data to instantly deliver insights.

Unstructured Data 98

Unstructured Data Data Ingestion Government Machine Learning 98

Rockset

APRIL 18, 2023

Organizations have continued to accumulate large quantities of unstructured data, ranging from text documents to multimedia content to machine and sensor data. Comprehending and understanding how to leverage unstructured data has remained challenging and costly, requiring technical depth and domain expertise.

Unstructured Data 105

Unstructured Data Metadata Machine Learning SQL 105

phData: Data Engineering

NOVEMBER 8, 2024

Streaming and Real-Time Data Processing As organizations increasingly demand real-time data insights, Open Table Formats offer strong support for streaming data processing, allowing organizations to seamlessly merge real-time and batch data.

Architecture 52

Architecture Systems Data Lake Google Cloud 52

Cloudera

FEBRUARY 8, 2021

Future connected vehicles will rely upon a complete data lifecycle approach to implement enterprise-level advanced analytics and machine learning enabling these advanced use cases that will ultimately lead to fully autonomous drive.

Manufacturing 108

Manufacturing Machine Learning Data Ingestion Electronics 108

Cloudera

AUGUST 13, 2021

Every enterprise is trying to collect and analyze data to get better insights into their business. Whether it is consuming log files, sensor metrics, and other unstructured data, most enterprises manage and deliver data to the data lake and leverage various applications like ETL tools, search engines, and databases for analysis.

Data Pipeline 111

Data Pipeline Data Lake ETL Tools Unstructured Data 111

Cloudera

APRIL 20, 2021

In today’s demand for more business and customer intelligence, companies collect more varieties of data — clickstream logs, geospatial data, social media messages, telemetry, and other mostly unstructured data. What is modern streaming architecture?

Kafka 95

Kafka Hospitality Retail Data Ingestion 95

Cloudera

FEBRUARY 15, 2024

Data integration and ingestion: With robust data integration capabilities, a modern data architecture makes real-time data ingestion from various sources—including structured, unstructured, and streaming data, as well as external data feeds—a reality.

Insurance 88

Insurance Banking Data Architecture Data Ingestion 88

Snowflake

NOVEMBER 29, 2023

Technological drivers Data storage: Snowflake provides unprecedented flexibility to store a variety of data sources of all modalities (streaming, structured, semi-structured and unstructured) at a low cost, including omics data such as variant (VCF) data and unstructured data such as pathology images.

Metadata 117

Metadata Healthcare Medical Data Storage 117

Data Engineering Weekly

SEPTEMBER 18, 2024

Decoupling of Storage and Compute : Data lakes allow observability tools to run alongside core data pipelines without competing for resources by separating storage from compute resources. This opens up new possibilities for monitoring and diagnosing data issues across various sources.

Data Lake 98

Data Lake Data Pipeline Unstructured Data Data 98

Striim

SEPTEMBER 11, 2024

Data Collection/Ingestion The next component in the data pipeline is the ingestion layer, which is responsible for collecting and bringing data into the pipeline. By efficiently handling data ingestion, this component sets the stage for effective data processing and analysis.

Data Pipeline 98

Data Pipeline Designing Data Lake Data Warehouse 98

Cloudera

AUGUST 8, 2024

This facilitates improved collaboration across departments via data virtualization, which allows users to view and analyze data without needing to move or replicate it. Cloudera’s open data lakehouse unlocks the power of enterprise data across private and public cloud environments.

Pharmaceutical 72

Pharmaceutical Unstructured Data Government Data Ingestion 72

Cloudera

SEPTEMBER 9, 2022

Imagine quickly answering burning business questions nearly instantly, without waiting for data to be found, shared, and ingested. Imagine independently discovering rich new business insights from both structured and unstructured data working together, without having to beg for data sets to be made available.

Architecture 102

Architecture Metadata Machine Learning Unstructured Data 102

Snowflake

JUNE 5, 2024

Comparison of Snowflake Copilot and Cortex Analyst Cortex Search: Deliver efficient and accurate enterprise-grade document search and chatbots Cortex Search is a fully managed search solution that offers a rich set of capabilities to index and query unstructured data and documents.

Coding 115

Coding Building Management Government 115

Knowledge Hut

APRIL 23, 2024

Big Data In contrast, big data encompasses the vast amounts of both structured and unstructured data that organizations generate on a daily basis. It encompasses data from diverse sources such as social media, sensors, logs, and multimedia content.

Data Warehouse 52

Data Warehouse Big Data Unstructured Data Hadoop 52

Towards Data Science

MAY 3, 2023

One such tool is the Versatile Data Kit (VDK), which offers a comprehensive solution for controlling your data versioning needs. VDK helps you easily perform complex operations, such as data ingestion and processing from different sources, using SQL or Python.

Data Lake 98

Data Lake SQL Data Data Warehouse 98

DareData

JANUARY 30, 2023

Our goal is to help data scientists better manage their models deployments or work more effectively with their data engineering counterparts, ensuring their models are deployed and maintained in a robust and reliable way. Examples of technologies able to aggregate data in data lake format include Amazon S3 or Azure Data Lake.

Data Engineering 52

Data Engineering Data Engineer NoSQL Engineering 52

ProjectPro

OCTOBER 28, 2015

Apache Hadoop is synonymous with big data for its cost-effectiveness and its attribute of scalability for processing petabytes of data. Data analysis using hadoop is just half the battle won. Getting data into the Hadoop cluster plays a critical role in any big data deployment. then you are on the right page.

ETL Tools 52

ETL Tools Hadoop Relational Database Unstructured Data 52

Cloudera

JUNE 4, 2018

That’s the equivalent of 1 petabyte ( ComputerWeekly ) – the amount of unstructured data available within our large pharmaceutical client’s business. Then imagine the insights that are locked in that massive amount of data. Nguyen, Accenture & Mitch Gomulinski, Cloudera.

Pharmaceutical 46

Pharmaceutical Unstructured Data Electronics Metadata 46

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. Key differences between structured, semi-structured, and unstructured data.

Data Collection 52

Data Collection Machine Learning Unstructured Data Non-relational Database 52

Rockset

AUGUST 28, 2023

Spin a Virtual Instance for streaming data ingestion. Never again worry about performance lags due to ingest spikes or query bursts. As AI models become more advanced, LLMs and generative AI apps are liberating information that is typically locked up in unstructured data. We obsess about efficiency in the cloud.

Metadata 78

Metadata Unstructured Data SQL Database 78

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. Data lakehouse architecture is an increasingly popular choice for many businesses because it supports interoperability between data lake formats.

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. Data lakehouse architecture is an increasingly popular choice for many businesses because it supports interoperability between data lake formats.

Architecture 52

Architecture Data Lake Metadata Unstructured Data 52

Sync Computing

NOVEMBER 7, 2024

Despite these limitations, data warehouses, introduced in the late 1980s based on ideas developed even earlier, remain in widespread use today for certain business intelligence and data analysis applications. While data warehouses are still in use, they are limited in use-cases as they only support structured data.

Data Lake 52

Data Lake Data Warehouse Business Intelligence Unstructured Data 52

Cloudera

AUGUST 31, 2020

On Cloudera’s platform, SMG Data Scientists have fast and easy access to the data they need to be able to unleash a host of functions, particularly Predictive Analytics, as the data ingested can now be simultaneously used for ad-hoc analytics as well as for running AI/ML tools.

Management 66

Management Hadoop Data Warehouse Data Science 66

Zalando Engineering

JUNE 26, 2017

The immense explosion of unstructured data drives modern search applications to go beyond just fuzzy string matching, to invest in deep understanding of user queries through interpretation of user intention in order to respond with a relevant result set.

Architecture 40

Architecture Unstructured Data Machine Learning Data Ingestion 40

Cloudera

AUGUST 21, 2020

Perhaps one of the most significant contributions in data technology advancement has been the advent of “Big Data” platforms. Historically these highly specialized platforms were deployed on-prem in private data centers to ensure greater control , security, and compliance. Streaming data analytics. .

Hadoop 76

Hadoop Big Data Cloud Kafka 76

Monte Carlo

JUNE 14, 2023

Why is data pipeline architecture important? Amazon S3 – An object storage service for structured and unstructured data, S3 gives you the compute resources to build a data lake from scratch. Singer – An open source tool for moving data from a source to a destination.

Data Pipeline 52

Data Pipeline Architecture Data Lake Data Warehouse 52

The Modern Data Company

MAY 8, 2023

Due to conventions like schema-on-write, they can also face scalability limitations when handling huge volumes of data, particularly when compared to distributed storage solutions like data lakes. Data Lakehouse: Bridging Data Worlds A data lakehouse combines the best features of data lakes and data warehouses.

Data Management 52

Data Management Management Data Lake Data Governance 52

The Modern Data Company

MAY 8, 2023

Due to conventions like schema-on-write, they can also face scalability limitations when handling huge volumes of data, particularly when compared to distributed storage solutions like data lakes. Data Lakehouse: Bridging Data Worlds A data lakehouse combines the best features of data lakes and data warehouses.

Data Management 52

Data Management Management Data Lake Data Governance 52

The Modern Data Company

MAY 8, 2023

Due to conventions like schema-on-write, they can also face scalability limitations when handling huge volumes of data, particularly when compared to distributed storage solutions like data lakes. Data Lakehouse: Bridging Data Worlds A data lakehouse combines the best features of data lakes and data warehouses.

Data Management 52

Data Management Management Data Lake Data Governance 52

AltexSoft

AUGUST 29, 2023

Unstructured data sources. This category includes a diverse range of data types that do not have a predefined structure. Examples of unstructured data can range from sensor data in the industrial Internet of Things (IoT) applications, videos and audio streams, images, and social media content like tweets or Facebook posts.

Data Lake 52

Data Lake Architecture IT Amazon Web Services 52

RandomTrees

SEPTEMBER 27, 2024

This eliminates the need to make multiple copies of data assets. Unified data platform: One Lake provides a unified platform for all data types, including structured, semi-structured, and unstructured data.

Database-centric 52

Database-centric Pipeline-centric IT BI 52

ProjectPro

FEBRUARY 8, 2023

Create The Connector for Source Database The first step is having the source database, which can be any S3, Aurora, and RDS that can hold structured and unstructured data. Glue works absolutely fine with structured as well as unstructured data.

AWS 98

AWS Scala Metadata Data Lake 98

Monte Carlo

AUGUST 19, 2023

We’ll cover: What is a data platform? Amazon S3 – An object storage service for structured and unstructured data, S3 gives you the compute resources to build a data lake from scratch. Data ingestion tools, like Fivetran, make it easy for data engineering teams to port data to their warehouse or lake.

Building 52

Building BI Data Lake Data Governance 52