Christophe Blefari

OCTOBER 14, 2023

He also demo a event-based DAG parsing that instantaneously display DAGs in the UI. That's why we should probably move to event-based DAG parsing — In the presentation Bas explains the 4 steps in the DAG parser and what configuration you can change to have better performance.

Python 130

Python Datasets Data Data Ingestion 130

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 Scala MySQL 100

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 Scala MySQL Data Lake 130

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

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 Scala MySQL Google Cloud 100

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 Scala 100

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

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

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 105

Manufacturing Machine Learning Data Ingestion Electronics 105

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 Data Ingestion Government Python 52

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

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 Data Lake Management 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 Data Lake Management 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 Data Lake Management Data Governance 52

Snowflake

MARCH 27, 2023

Introducing CARTO Workflows Snowflake’s powerful data ingestion and transformation features help many data engineers and analysts who prefer SQL. In this demo video, we perform a geospatial analysis common to the telco industry to determine ideal locations for network infrastructure.

Generalist 52

Generalist Raw Data Business Analyst SQL 52

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 97

Kafka Google Cloud NoSQL Entertainment 97

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 103

Manufacturing Data Warehouse Kafka Retail 103

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

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 71

Management Data Ingestion Machine Learning Java 71

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

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

Rockset

MARCH 1, 2023

The default virtual instance will be dedicated to streaming ingestion in this example. In this example, I used ingest transformations to cast a date as a timestamp, parse a field and extract nested fields. Ingest transformations The default virtual instance is responsible for streaming data ingestion and ingest transformations.

Architecture 59

Architecture AWS SQL Cloud Storage 59

Rockset

JUNE 21, 2022

Rockset, in contrast, is a real-time analytics platform that was built to serve sub-second queries on real-time data. Rockset efficiently organizes data in a Converged Index ™, which is optimized for real-time data ingestion and low-latency analytical queries. We invite you to start using the Snowflake connector today!

Kafka 52

Kafka Data Warehouse BI Analytics Application 52

Ascend.io

FEBRUARY 12, 2023

That means data engineers consider functionality (usability, accessibility, relevance) and format (dashboards, reports, datasets) of the required data products before they start building. They gather requirements, demo early versions of data products, and iterate on them over time — just like a conventional product squad would.

Data Lake 52

Data Lake Business Analyst Data Pipeline Data 52

Ascend.io

FEBRUARY 12, 2023

That means data engineers consider functionality (usability, accessibility, relevance) and format (dashboards, reports, datasets) of the required data products before they start building. They gather requirements, demo early versions of data products, and iterate on them over time — just like a conventional product squad would.

Data Lake 52

Data Lake Business Analyst Data Pipeline Data 52

Ascend.io

FEBRUARY 12, 2023

That means data engineers consider functionality (usability, accessibility, relevance) and format (dashboards, reports, datasets) of the required data products before they start building. They gather requirements, demo early versions of data products, and iterate on them over time — just like a conventional product squad would.

Data Lake 52

Data Lake Business Analyst Data Pipeline Data 52

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 67

SQL Data Raw Data Architecture 67

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 Data Architecture 40

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 47

Data Science Transportation Machine Learning Algorithm 47

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 52

Manufacturing Data Ingestion Architecture Data Governance 52

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 80

Data Warehouse Database-centric Metadata Cloud 80

AltexSoft

MARCH 30, 2023

Databricks architecture Databricks provides an ecosystem of tools and services covering the entire analytics process — from data ingestion to training and deploying machine learning models. Besides that, it’s fully compatible with various data ingestion and ETL tools. Let’s see what exactly Databricks has to offer.

Scala 64

Scala Data Lake BI Google Cloud 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.

Data Lake 52

Data Lake Google Cloud Data Warehouse AWS 52

Monte Carlo

JULY 10, 2023

Data can go missing for nearly endless reasons, but here are a few of the most common challenges around data completeness: Inadequate data collection processes Data collection and data ingestion can cause data completion issues when collection procedures aren’t standardized, requirements aren’t clearly defined, and fields are incomplete or missing.

Data Collection 40

Data Collection Data Governance Government Data Validation 40

Rockset

JANUARY 16, 2019

git clone git@github.com:rockset/recipes.git cd recipes/kafka-rockset-integration/ Create and activate Python virtual environment rockset-kafka-demo and install all the Python dependencies. python3 -m virtualenv rockset-kafka-demo source rockset-kafka-demo/bin/activate pip install -r requirements.txt Open config.py

Kafka 40

Kafka SQL Python Data 40

Rockset

NOVEMBER 19, 2020

In this blog post, we show how Rockset’s Smart Schema feature lets developers use real-time SQL queries to extract meaningful insights from raw semi-structured data ingested without a predefined schema.

Structured Data 40

Structured Data SQL NoSQL Raw Data 40