Ascend.io

DECEMBER 19, 2022

Improved Support for Databricks To highlight our improved Databricks capabilities, our re:Invent booth was next to theirs, and we chose to power our demos with their Lakehouse. More and more customers are dramatically accelerating their time to value with Databricks data pipelines by leveraging Ascend automation.

Data Ingestion 52

Data Ingestion Data Pipeline Metadata AWS 52

Snowflake

NOVEMBER 1, 2023

Let’s take a look at a few examples of Snowflake Native Apps that utilize Snowpark Container Services: Carto: Carto, a geospatial platform, can be deployed entirely inside Snowflake to tackle problems like vehicle routing without requiring data movement. Check out the demo. Check out the demo and sign up for the waitlist.

AWS 124

AWS Database Programming Language Data Science 124

Data Engineering Podcast

NOVEMBER 6, 2022

Datafold integrates with all major data warehouses as well as frameworks such as Airflow & dbt and seamlessly plugs into CI workflows. Visit dataengineeringpodcast.com/datafold today to book a demo with Datafold. Data teams are increasingly under pressure to deliver. Data teams are increasingly under pressure to deliver.

MongoDB 130

MongoDB MySQL Scala Machine Learning 130

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 109

Data Lake Data Ingestion Bytes Cloud Computing 109

Confluent

FEBRUARY 6, 2019

It allows real-time data ingestion, processing, model deployment and monitoring in a reliable and scalable way. This blog post focuses on how the Kafka ecosystem can help solve the impedance mismatch between data scientists, data engineers and production engineers.

Machine Learning 107

Machine Learning Python Kafka Java 107

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. In addition, join us for industry 4.0- challenges.

Manufacturing 108

Manufacturing Machine Learning Data Ingestion Electronics 108

Data Engineering Podcast

OCTOBER 30, 2022

Datafold integrates with all major data warehouses as well as frameworks such as Airflow & dbt and seamlessly plugs into CI workflows. Visit dataengineeringpodcast.com/datafold today to book a demo with Datafold. RudderStack helps you build a customer data platform on your warehouse or data lake.

Engineering 100

Engineering MongoDB MySQL Scala 100

Towards Data Science

FEBRUARY 16, 2024

As we are pulling data with discrepancies together from different operational systems, the data ingestion process can be more time-consuming than originally thought! Your program might get confused too when records come in with different names even though it means the same thing.

Food 94

Food Data Ingestion Python Data Science 94

Confluent

MAY 22, 2019

We’ll also provide demo code so you can try it out for yourself. Since MQTT is designed for low-power and coin-cell-operated devices, it cannot handle the ingestion of massive datasets. On the other hand, Apache Kafka may deal with high-velocity data ingestion but not M2M. Demo of Scylla and Confluent integration.

Kafka 98

Kafka Google Cloud NoSQL Entertainment 98

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

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

Cloudera

APRIL 15, 2019

While Cloudera Flow Management has been eagerly awaited by our Cloudera customers for use on their existing Cloudera platform clusters, Cloudera Edge Management has generated equal buzz across the industry for the possibilities that it brings to enterprises in their IoT initiatives around edge management and edge data collection.

Management 17

Management Data Ingestion Data Collection Government 17

Data Engineering Podcast

JUNE 5, 2022

Datafold integrates with all major data warehouses as well as frameworks such as Airflow & dbt and seamlessly plugs into CI workflows. Visit dataengineeringpodcast.com/datafold today to book a demo with Datafold. Data teams are increasingly under pressure to deliver. Data teams are increasingly under pressure to deliver.

Data Security 100

Data Security Metadata MongoDB MySQL 100

Data Engineering Podcast

NOVEMBER 13, 2022

Datafold integrates with all major data warehouses as well as frameworks such as Airflow & dbt and seamlessly plugs into CI workflows. Visit dataengineeringpodcast.com/datafold today to book a demo with Datafold. RudderStack helps you build a customer data platform on your warehouse or data lake.

MongoDB 100

MongoDB MySQL Google Cloud Scala 100

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. NiFi can handle all types of data across any type of data source.

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

Rockset

APRIL 18, 2023

To highlight these new capabilities, we built a search demo using OpenAI to create embeddings for Amazon product descriptions and Rockset to generate relevant search results. In the demo, you’ll see how Rockset delivers search results in 15 milliseconds over thousands of documents.

Unstructured Data 105

Unstructured Data Metadata Machine Learning SQL 105

Databand.ai

JUNE 28, 2023

Data observability works with your data pipeline by providing insights into how your data flows and is processed from start to end. Here is a more detailed explanation of how data observability works within the data pipeline: Data ingestion : Observability begins from the point where data is ingested into the pipeline.

Data Pipeline 98

Data Pipeline Data Engineering Data Engineer Engineering 98

Cloudera

APRIL 9, 2021

Second, CML seamlessly integrates with the rest of the Cloudera Data Platform to provide end-to-end ML workflows. CML can leverage experiences in the earlier stages, such as data ingestion and data engineering, to fully automate data collection, cleansing and transformation before the prediction (ML) stage begins. .

Machine Learning 98

Machine Learning Manufacturing Data Collection Data Science 98

Cloudera

MAY 3, 2024

The workflow—from data ingestion and model training to model deployment—is meticulously defined within a YAML configuration file. Like AMPs, Spaces are ML demo applications that are self-contained and instantly ready to deliver value upon deployment.

Data Security 71

Data Security Machine Learning Professional Services Data Ingestion 71

Towards Data Science

JULY 8, 2024

I have used Colab for this demo, as it is much easier (and faster) to configure the environment. ML Pipeline operations begins with data ingestion and validation, followed by transformation. The transformed data is trained and deployed. . Have a look at this article to gain better understanding of this article.

Data Preparation 70

Data Preparation Datasets Metadata Data Ingestion 70

Cloudera

JANUARY 11, 2021

Over the last few weeks, I delivered four live NiFi demo sessions, showing how to use NiFi connectors and processors to connect to various systems, with 1000 attendees in different geographic regions. Interactive demo sessions and live Q&A are what we all need these days when working remotely from home is now a norm.

Kafka 62

Kafka Java Data Cleanse Datasets 62

Ascend.io

DECEMBER 21, 2022

21, 2022 – Ascend.io , The Data Automation Cloud, today announced they have partnered with Snowflake , the Data Cloud company, to launch Free Ingest , a new feature that will reduce an enterprise’s data ingest cost and deliver data products up to 7x faster by ingesting data from all sources into the Snowflake Data Cloud quickly and easily.

Data Ingestion 52

Data Ingestion Google Cloud Data Lake Cloud 52

Confluent

SEPTEMBER 26, 2019

In the early days, many companies simply used Apache Kafka ® for data ingestion into Hadoop or another data lake. Because Rockset continuously syncs data from Kafka, new tweets can show up in the real-time dashboard in a matter of seconds, giving users an up-to-date view of what’s going on in Twitter.

Kafka 21

Kafka SQL BI Hadoop 21

Rockset

DECEMBER 20, 2018

In this blog, I will show how Rockset can serve a live dashboard, which surfaces analytics on real-time Twitter data ingested into Rockset from a Kinesis stream. We obtain data points for the number of incoming tweets every 2 seconds and plot them in a chart. This can also be achieved through the AWS Console or the AWS CLI.

AWS 52

AWS Kafka Data Ingestion Data 52

Monte Carlo

MAY 26, 2023

Data freshness best practices Once you have talked with your key data consumers and determined your data freshness goals or SLAs, there are a few best practices you can leverage to provide the best service or data product possible. Fill out the form below to schedule a demo!

Data Pipeline 98

Data Pipeline Data Data Warehouse Machine Learning 98

Snowflake

SEPTEMBER 11, 2023

Set up the demo environment. The intention of Dynamic Tables is to apply incremental transformations on near real-time data ingestion that Snowflake now supports with Snowpipe Streaming. Dynamic Tables support the same SQL join behavior, and we will illustrate this join behavior with the following sample code: 1.

SQL 102

SQL Data Raw Data Architecture 102

Monte Carlo

JUNE 14, 2022

Iceberg brings the reliability and simplicity of SQL tables to big data, while making it possible for engines like Apache Spark, Trino, Flink, Presto, and Hive to safely work with the same tables, at the same time. Snowflake is going to be your unified platform for developing data applications from code to monetization. That story?

Cloud 52

Cloud Python Data Ingestion Government 52

Striim

JULY 11, 2024

Real-Time Data Ingestion Striim seamlessly ingests data from various sources and streams it directly into Snowflake in real time. This continuous data flow guarantees that the most up-to-date, accurate information is always available for immediate analysis. Here’s how.

Data Ingestion 52

Data Ingestion Datasets PostgreSQL Data Integration 52

Snowflake

APRIL 24, 2023

Data management becomes increasingly manual, creating elongated data pipelines, delayed analytics, and greater potential for error. Snowflake is helping transform the asset servicing workflow with its modernizing technology and data management capabilities, streamlining data ingestion and data sharing.

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

Due to the high storage cost in the legacy EDW solution, 100% source data capture proved cost-prohibitive – this led to continuing and costly change cycles to load incremental source updates as business requirements changed. To learn more about CDP & the Smart Data Transition Toolkit: . Demo Video. Solution brief.

Data Warehouse 82

Data Warehouse Database-centric Metadata Cloud 82

Cloudera

MAY 3, 2024

The workflow—from data ingestion and model training to model deployment—is meticulously defined within a YAML configuration file. Like AMPs, Spaces are ML demo applications that are self-contained and instantly ready to deliver value upon deployment.

Project 52

Project Machine Learning Professional Services Data Ingestion 52

Cloudera

MAY 28, 2019

CDSW gives data scientists the freedom to use their favorite open source and other vendor tools and libraries for the end-to-end ML workflow in addition to secure, self-service access to corporate data and distributed computing power, all managed efficiently and securely by IT. Stay tuned. Register today!

Data Science 50

Data Science Transportation Machine Learning Algorithm 50

The Modern Data Company

MAY 8, 2023

Data Operating System: Orchestrating a Unified Data Ecosystem A data operating system is an advanced data management platform that unifies data storage, integration, processing, and analytics. It provides a flexible, scalable, and secure data infrastructure that can adapt to evolving business needs.

Data Management 52

Data Management Management Data Lake Data Governance 52

The Modern Data Company

MAY 8, 2023

Data Operating System: Orchestrating a Unified Data Ecosystem A data operating system is an advanced data management platform that unifies data storage, integration, processing, and analytics. It provides a flexible, scalable, and secure data infrastructure that can adapt to evolving business needs.

Data Management 52

Data Management Management Data Lake Data Governance 52

The Modern Data Company

MAY 8, 2023

Data Operating System: Orchestrating a Unified Data Ecosystem A data operating system is an advanced data management platform that unifies data storage, integration, processing, and analytics. It provides a flexible, scalable, and secure data infrastructure that can adapt to evolving business needs.

Data Management 52

Data Management Management Data Lake Data Governance 52