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 107

Manufacturing Data Warehouse Kafka Retail 107

Cloudera

APRIL 9, 2021

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. . Completed models can be deployed and easily accessed via an API. Final Words. Additional Resources.

Machine Learning 98

Machine Learning Manufacturing Data Collection Data Science 98

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. The truth is data freshness checks don’t work well at scale (more than 50 tables or so).

Data Pipeline 98

Data Pipeline Data Data Warehouse Machine Learning 98

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. It’s frustrating…[Lake Formation] is a step-level change for how easy it is to set up data lakes,” he said.

Data Lake 52

Data Lake Google Cloud Data Warehouse AWS 52

Cloudera

MAY 9, 2019

It is meant for you to assess if you have thought through processes such as continuous data ingestion, enterprise data integration and data governance. Data infrastructure readiness – IoT architectures can be insanely complex and sophisticated. Get to see some exciting demos of our IoT data management platform.

Manufacturing 54

Manufacturing Data Ingestion Architecture Data Governance 54

Cloudera

MAY 28, 2019

Cloudera customers can start building enterprise AI on their data management competencies today with the Cloudera Data Science Workbench (CDSW). Learn more about the Cloudera Data Science Workbench for the end-to-end ML workflow at our bi-weekly webinar series featuring live expert demos and Q&A. Stay tuned.

Data Science 49

Data Science Transportation Machine Learning Algorithm 49

ProjectPro

JANUARY 19, 2022

ProjectPro has precisely that in this section, but before presenting it, we would like to answer a few common questions to strengthen your inclination towards data engineering further. What is Data Engineering? Data Engineering refers to creating practical designs for systems that can extract, keep, and inspect data at a large scale.

Data Engineering 52

Data Engineering Data Engineer Engineering Amazon Web Services 52

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. Ingesting semi-structured data into SQL data systems is not an easy task, especially early on when the data model is still evolving.

Structured Data 40

Structured Data SQL NoSQL Raw Data 40

Snowflake

NOVEMBER 1, 2023

Snowflake is announcing new product capabilities that are changing how developers build, deliver, distribute and operate their applications. These features collectively help developers build more quickly within a unified platform, distribute products globally, deliver them securely, and scale without operational burden. Let’s dive in!

AWS 100

AWS Programming Language Database Data Science 100

Data Engineering Podcast

NOVEMBER 20, 2022

In this episode CEO and founder Salma Bakouk shares her views on the causes and impacts of "data entropy" and how you can tame it before it leads to failures. Datafold integrates with all major data warehouses as well as frameworks such as Airflow & dbt and seamlessly plugs into CI workflows. In fact, while only 3.5%

Data Lake 130

Data Lake Data Ingestion MongoDB Scala 130

Snowflake

MARCH 2, 2023

This solution is both scalable and reliable, as we have been able to effortlessly ingest upwards of 1GB/s throughput.” Rather than streaming data from source into cloud object stores then copying it to Snowflake, data is ingested directly into a Snowflake table to reduce architectural complexity and reduce end-to-end latency.

Kafka 125

Kafka Data Ingestion Data Pipeline Cloud Storage 125

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

Cloudera

MAY 3, 2024

AMPs are fully built, end-to-end solutions that provide data scientists with a ready-to-go MVP for various AI use cases, significantly reducing development time. With a single click, AMPs build, deploy, and set up continuous monitoring of enterprise-ready machine learning (ML) applications.

Data Security 69

Data Security Machine Learning Data Ingestion Professional Services 69

Cloudera

OCTOBER 15, 2020

Build a dataflow in NiFi. Check if everything went well NiFi logs and see the indexed data on Hue. Provide a collection Name under Destination (in this example, we named it ‘solr-nifi-demo’). Build a flow in NiFi. Once you are done with collection creation, move over to Flow management Data Hub cluster. Object Key.

AWS 115

AWS Data Cloud Cloud Storage 115

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

Cloudera

MAY 3, 2024

AMPs are fully built, end-to-end solutions that provide data scientists with a ready-to-go MVP for various AI use cases, significantly reducing development time. With a single click, AMPs build, deploy, and set up continuous monitoring of enterprise-ready machine learning (ML) applications.

Project 52

Project Machine Learning Data Ingestion Professional Services 52

Confluent

SEPTEMBER 26, 2019

In the early days, many companies simply used Apache Kafka ® for data ingestion into Hadoop or another data lake. The significant difference today is that companies use Apache Kafka as an event streaming platform for building mission-critical infrastructures and core operations platforms. Connecting Kafka to Rockset.

Kafka 21

Kafka BI SQL Datasets 21

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 61

Kafka Data Cleanse Java Datasets 61

Monte Carlo

JUNE 14, 2022

I think we will look back at this conference as a major milestone for Snowflake, who today made claim to not just being the place organizations can store their data, but the place organizations build and monetize data applications. We’ve written previously about how building an external data product is hard.

Cloud 52

Cloud Data Ingestion Government Python 52

Snowflake

SEPTEMBER 11, 2023

Set up the demo environment. Table 1: Information Mart Build as Dynamic Tables and Refresh Mode execution Can we achieve incremental refreshes when deploying a snapshot PIT table as Dynamic Table? Dynamic Tables support the same SQL join behavior, and we will illustrate this join behavior with the following sample code: 1. Yes, we can!

SQL 71

SQL Data Raw Data Architecture 71

Snowflake

APRIL 24, 2023

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

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

Ascend.io

FEBRUARY 12, 2023

Stakeholders have grown frustrated with how long it takes to build data pipelines. Business users are questioning the accuracy and data reliability of the data pipelines and often have shifted back to operating on hunches rather than facts. Data products. The antidote to this harmful situation?

Data Lake 52

Data Lake Business Analyst Data Pipeline Data 52

Ascend.io

FEBRUARY 12, 2023

Stakeholders have grown frustrated with how long it takes to build data pipelines. Business users are questioning the accuracy and data reliability of the data pipelines and often have shifted back to operating on hunches rather than facts. Data products. The antidote to this harmful situation?

Data Lake 52

Data Lake Business Analyst Data Pipeline Data 52

Ascend.io

FEBRUARY 12, 2023

Stakeholders have grown frustrated with how long it takes to build data pipelines. Business users are questioning the accuracy and data reliability of the data pipelines and often have shifted back to operating on hunches rather than facts. Data products. The antidote to this harmful situation?

Data Lake 52

Data Lake Business Analyst Data Pipeline Data 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

Rockset

JUNE 21, 2022

We’re excited to announce that Rockset’s new connector with Snowflake is now available and can increase cost efficiencies for customers building real-time analytics applications. Rockset, in contrast, is a real-time analytics platform that was built to serve sub-second queries on real-time data.

Kafka 52

Kafka Data Warehouse BI Analytics Application 52

Rockset

JANUARY 16, 2019

Kafka is commonly used by many organizations to handle their real-time data streams. We will show how Rockset integrates with Kafka to ingest and index our fast-moving event data, enabling us to build operational apps and live dashboards on top of Rockset. Open the file. rockset.RocksetClientWrapper:37).

Kafka 40

Kafka SQL Python Data 40

Cloudera

SEPTEMBER 6, 2018

Given what we know about current anti-money laundering systems, if we wanted to build one from scratch today, we might come up with the following requirements. The system must: Ingest, process, analyze, store, and serve all types of AML data, be it structured (database tables), unstructured (contracts, e-mails, etc.),

Banking 40

Banking Machine Learning Big Data Scala 40

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