Data Engineering Podcast

OCTOBER 30, 2022

In this episode he shares his experiences working with organizations to adopt analytics engineering patterns and the ways that Optimus and dbt were combined to let data analysts deliver insights without the roadblocks of complex pipeline management. Visit dataengineeringpodcast.com/datafold today to book a demo with Datafold.

Engineering 100

Engineering MongoDB MySQL Scala 100

Snowflake

APRIL 18, 2024

Legacy SIEM cost factors to keep in mind Data ingestion: Traditional SIEMs often impose limits to data ingestion and data retention. Snowflake allows security teams to store all their data in a single platform and maintain it all in a readily accessible state, with virtually unlimited cloud data storage capacity.

Data Lake 104

Data Lake Data Ingestion Bytes Cloud Computing 104

Cloudera

APRIL 15, 2019

Cloudera Flow Management (CFM) is a no-code data ingestion and management solution powered by Apache NiFi. With a slick user interface, 300+ processors and the NiFi Registry, CFM delivers highly scalable data management and DevOps capabilities to the enterprise.

Management 17

Management Data Ingestion Data Collection Government 17

Cloudera

JANUARY 20, 2021

The data journey is not linear, but it is an infinite loop data lifecycle – initiating at the edge, weaving through a data platform, and resulting in business imperative insights applied to real business-critical problems that result in new data-led initiatives. More Data Collection Resources. Conclusion.

Manufacturing 110

Manufacturing Data Warehouse Kafka Retail 110

Data Engineering Podcast

JUNE 5, 2022

In this episode Sean Falconer explains the idea of a data privacy vault and how this new architectural element can drastically reduce the potential for making a mistake with how you manage regulated or personally identifiable information. Visit dataengineeringpodcast.com/datafold today to book a demo with Datafold.

Data Security 100

Data Security Metadata MongoDB MySQL 100

Data Engineering Podcast

NOVEMBER 13, 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. In fact, while only 3.5%

MongoDB 100

MongoDB MySQL Google Cloud Scala 100

Ascend.io

OCTOBER 28, 2024

Tools like Python’s requests library or ETL/ELT tools can facilitate data enrichment by automating the retrieval and merging of external data. Read More: Discover how to build a data pipeline in 6 steps Data Integration Data integration involves combining data from different sources into a single, unified view.

Raw Data 52

Raw Data Datasets Aggregated Data Data Pipeline 52

The Modern Data Company

MAY 8, 2023

Data lakes, data warehouses, data hubs, data lakehouses, and data operating systems are data management and storage solutions designed to meet different needs in data analytics, integration, and processing. See it in action and schedule a demo with one of our data experts today.

Data Management 52

Data Management Management Data Lake Data Governance 52

The Modern Data Company

MAY 8, 2023

Data lakes, data warehouses, data hubs, data lakehouses, and data operating systems are data management and storage solutions designed to meet different needs in data analytics, integration, and processing. See it in action and schedule a demo with one of our data experts today.

Data Management 52

Data Management Management Data Lake Data Governance 52

Confluent

MAY 22, 2019

We’ll also provide demo code so you can try it out for yourself. The explosive number of devices generating, tracking and sharing data across a variety of networks is overwhelming to most data management solutions. On the other hand, Apache Kafka may deal with high-velocity data ingestion but not M2M.

Kafka 98

Kafka Google Cloud NoSQL Entertainment 98

The Modern Data Company

MAY 8, 2023

Data lakes, data warehouses, data hubs, data lakehouses, and data operating systems are data management and storage solutions designed to meet different needs in data analytics, integration, and processing. See it in action and schedule a demo with one of our data experts today.

Data Management 52

Data Management Management Data Lake Data Governance 52

Cloudera

MARCH 27, 2019

Cloudera Flow Management (CFM) is a no-code data ingestion and management solution powered by Apache NiFi. With a slick user interface, 300+ processors and the NiFi Registry, CFM delivers highly scalable data management and DevOps capabilities to the enterprise.

Management 72

Management Data Ingestion Machine Learning Java 72

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

Snowflake

APRIL 24, 2023

However, this has resulted in dated systems that cause workflow inefficiencies, and data and technology silos that add to cost and complexity. Data management becomes increasingly manual, creating elongated data pipelines, delayed analytics, and greater potential for error.

Management 52

Management Portfolio Data Ingestion Data Warehouse 52

Cloudera

MAY 9, 2019

Data readiness – These set of metrics help you measure if your organization is geared up to handle the sheer volume, variety and velocity of IoT data. It is meant for you to assess if you have thought through processes such as continuous data ingestion, enterprise data integration and data governance.

Manufacturing 56

Manufacturing Data Ingestion Architecture Data Governance 56

Cloudera

AUGUST 31, 2021

The Accenture Smart Data Transition Toolkit is also tightly integrated with Cloudera Data Platform for cloud data management and Cloudera Shared Data Experiences for secure, self-service analytics. To learn more about CDP & the Smart Data Transition Toolkit: . Demo Video. All rights reserved.

Data Warehouse 82

Data Warehouse Database-centric Metadata Cloud 82

Cloudera

MAY 28, 2019

But rather as businesses look to operationalize machine learning capabilities at scale, they’ll turn increasingly to commercial platforms, with connectors to open source , where investments in enterprise features like collaboration, reuse, transparency, model management and data platform integration have been focused. Stay tuned.

Data Science 50

Data Science Transportation Machine Learning Algorithm 50

Monte Carlo

JUNE 14, 2022

This fanfare turned out to be justified as Slootman, co-founder Benoit Dageville, and Christian Kleinerman took the stage to reveal a series of announcements that promise to disrupt the data management landscape – and beyond. We’ve written previously about how building an external data product is hard. That story?

Cloud 52

Cloud Python Data Ingestion Government 52

Sync Computing

NOVEMBER 7, 2024

Read on for a detailed comparison of the pros and cons of data warehouses, data lakes, and data lakehouses. Book a Demo! Data warehouses A data warehouse is a repository and platform for storing, querying, and manipulating data. Book a customized demo now! Save up to 50% on compute!

Data Lake 52

Data Lake Data Warehouse Business Intelligence Unstructured Data 52

Striim

JULY 10, 2024

The surge in package theft due to more online shopping overwhelmed traditional security measures and data management systems, which showcased significant operational vulnerabilities. Book a demo with us today to see for yourself the difference Striim can make for your team. Take UPS, for instance.

Management 52

Management Transportation Machine Learning High Quality Data 52

AltexSoft

MARCH 30, 2023

What is Databricks Databricks is an analytics platform with a unified set of tools for data engineering, data management , data science, and machine learning. It combines the best elements of a data warehouse, a centralized repository for structured data, and a data lake used to host large amounts of raw data.

Scala 64

Scala Data Lake Machine Learning BI 64

Monte Carlo

APRIL 24, 2023

We continuously hear data professionals describe the advantage of the Snowflake platform as “it just works.” Snowpipe and other features makes Snowflake’s inclusion in this top data lake vendors list a no-brainer. AWS is one of the most popular data lake vendors. A picture of their Lake Formation architecture.

Data Lake 52

Data Lake Google Cloud Data Warehouse AWS 52

Striim

OCTOBER 11, 2024

In contrast, traditional data pipelines often require significant manual effort to integrate various external tools for data ingestion , transfer, and analysis. Additionally, legacy systems frequently struggle with diverse data types, such as structured, semi-structured, and unstructured data.

Data Pipeline 52

Data Pipeline MongoDB Unstructured Data Data Lake 52

Cloudera

DECEMBER 28, 2017

With this in mind, Nordea implemented a modern data architecture based on Cloudera that allowed them to improve data quality, cut data ingest times by 87%, shorten DevOps cycle times, and simplify data management processes.

Banking 40

Banking Data Ingestion Big Data Machine Learning 40