Snowflake

JUNE 13, 2024

But at Snowflake, we’re committed to making the first step the easiest — with seamless, cost-effective data ingestion to help bring your workloads into the AI Data Cloud with ease. Like any first step, data ingestion is a critical foundational block. Ingestion with Snowflake should feel like a breeze.

Data Ingestion 91

Data Ingestion MySQL PostgreSQL Data Pipeline 91

Rockset

MAY 3, 2023

lower latency than Elasticsearch for streaming data ingestion. In this blog, we’ll walk through the benchmark framework, configuration and results. We’ll also delve under the hood of the two databases to better understand why their performance differs when it comes to search and analytics on high-velocity data streams.

Data Ingestion 59

Data Ingestion Kafka Database Architecture 59

Data Engineering Weekly

JULY 7, 2024

Experience Enterprise-Grade Apache Airflow Astro augments Airflow with enterprise-grade features to enhance productivity, meet scalability and availability demands across your data pipelines, and more. Hudi seems to be a de facto choice for CDC data lake features. Notion migrated the insert heavy workload from Snowflake to Hudi.

Data Engineering 98

Data Engineering Data Engineer Engineering Data Lake 98

Data Engineering Podcast

JUNE 19, 2022

Summary Metadata is the lifeblood of your data platform, providing information about what is happening in your systems. A variety of platforms have been developed to capture and analyze that information to great effect, but they are inherently limited in their utility due to their nature as storage systems.

Metadata 130

Metadata MongoDB MySQL Scala 130

Rockset

OCTOBER 11, 2022

Introduction Managing streaming data from a source system, like PostgreSQL, MongoDB or DynamoDB, into a downstream system for real-time analytics is a challenge for many teams. For a system like Elasticsearch , engineers need to have in-depth knowledge of the underlying architecture in order to efficiently ingest streaming data.

Data Ingestion 52

Data Ingestion Kafka Relational Database PostgreSQL 52

Cloudera

JANUARY 20, 2021

The missing chapter is not about point solutions or the maturity journey of use cases, the missing chapter is about the data, it’s always been about the data, and most importantly the journey data weaves from edge to artificial intelligence insight. . Conclusion.

Manufacturing 111

Manufacturing Data Warehouse Kafka Retail 111

Cloudera

FEBRUARY 8, 2021

As advanced use cases, like advanced driver assistance systems featuring lane change departure detection, advanced vehicle diagnostics, or predictive maintenance move forward, the existing infrastructure of the connected car is being stressed. billion in 2019, and is projected to reach $225.16 billion by 2027, registering a CAGR of 17.1%

Manufacturing 109

Manufacturing Machine Learning Data Ingestion Electronics 109

Cloudera

DECEMBER 14, 2021

But with growing demands, there’s a more nuanced need for enterprise-scale machine learning solutions and better data management systems. The 2021 Data Impact Awards aim to honor organizations who have shown exemplary work in this area. . For this, the RTA transformed its data ingestion and management processes. .

Transportation 112

Transportation Telecommunication Banking Data Lake 112

phData: Data Engineering

NOVEMBER 8, 2024

The world we live in today presents larger datasets, more complex data, and diverse needs, all of which call for efficient, scalable data systems. Open Table Format (OTF) architecture now provides a solution for efficient data storage, management, and processing while ensuring compatibility across different platforms.

Architecture 52

Architecture Systems Data Lake Google Cloud 52

Confluent

FEBRUARY 6, 2019

The blog posts How to Build and Deploy Scalable Machine Learning in Production with Apache Kafka and Using Apache Kafka to Drive Cutting-Edge Machine Learning describe the benefits of leveraging the Apache Kafka ® ecosystem as a central, scalable and mission-critical nervous system. You need to think about the whole model lifecycle.

Machine Learning 107

Machine Learning Python Kafka Java 107

Cloudera

FEBRUARY 9, 2021

Cloudera Operational Database is now available in three different form-factors in Cloudera Data Platform (CDP). . If you are new to Cloudera Operational Database, see this blog post. In this blog post, we’ll look at both Apache HBase and Apache Phoenix concepts relevant to developing applications for Cloudera Operational Database.

Database 104

Database Java SQL Data Ingestion 104

Cloudera

NOVEMBER 1, 2023

The connector makes it easy to update the LLM context by loading, chunking, generating embeddings, and inserting them into the Pinecone database as soon as new data is available. High-level overview of real-time data ingest with Cloudera DataFlow to Pinecone vector database.

Machine Learning 111

Machine Learning Data Ingestion Database Architecture 111

Cloudera

FEBRUARY 8, 2021

This is part 2 in this blog series. You can read part 1, here: Digital Transformation is a Data Journey From Edge to Insight. The first blog introduced a mock connected vehicle manufacturing company, The Electric Car Company (ECC), to illustrate the manufacturing data path through the data lifecycle.

Data Pipeline 119

Data Pipeline Building Manufacturing Data Warehouse 119

Cloudera

NOVEMBER 19, 2020

Furthermore, the same tools that empower cybercrime can drive fraudulent use of public-sector data as well as fraudulent access to government systems. In financial services, another highly regulated, data-intensive industry, some 80 percent of industry experts say artificial intelligence is helping to reduce fraud.

Government 120

Government Machine Learning Algorithm Raw Data 120

Cloudera

NOVEMBER 17, 2020

Knowing that a transaction is fraudulent is a critical requirement for financial services companies, but knowing that a transaction that was flagged by a rules-based system as fraudulent is a valid transaction, can be equally important. Data analysis – create a plan to build the model.

Deep Learning 116

Deep Learning Machine Learning Raw Data Data Ingestion 116

Snowflake

OCTOBER 16, 2024

For organizations who are considering moving from a legacy data warehouse to Snowflake, are looking to learn more about how the AI Data Cloud can support legacy Hadoop use cases, or are struggling with a cloud data warehouse that just isn’t scaling anymore, it often helps to see how others have done it.

Digital Media 82

Digital Media Media Data Lake Data Warehouse 82

Lyft Engineering

NOVEMBER 29, 2023

Introduction At Lyft, we have used systems like Apache ClickHouse and Apache Druid for near real-time and sub-second analytics. Sub-second query systems allow for near real-time data explorations and low latency, high throughput queries, which are particularly well-suited for handling time-series data.

Kafka 105

Kafka Data Ingestion Datasets Architecture 105

Cloudera

APRIL 20, 2021

Yet, the information will always delay if they leverage an analytics system built for the past. It can access data from inside the business, like ERP and asset management, outside sources, like edge devices and external assets, and correlate them for real-time predictive maintenance. appeared first on Cloudera Blog.

Kafka 96

Kafka Hospitality Retail Data Ingestion 96

Data Engineering Weekly

SEPTEMBER 18, 2024

In the pre-data-lake era, traditional data warehouses were limited by disk space and processing power. Storage and computing were tightly coupled within a single, large system, making running additional processes, such as observability tools, difficult without straining the system’s resources.

Data Lake 98

Data Lake Data Pipeline Unstructured Data Datasets 98

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

Cloudera

AUGUST 13, 2021

By controlling the processing of the data flows, the cybersecurity team can now run Splunk searches 55% faster and get faster insight into potential fraud. Here is another example: the scoring system takes 70 minutes to identify a perpetrator getting access to the computer system and the time to detect the intrusion.

Data Pipeline 111

Data Pipeline Data Lake ETL Tools Unstructured Data 111

Netflix Tech

MARCH 25, 2019

Finally, imagine yourself in the role of a data platform reliability engineer tasked with providing advanced lead time to data pipeline (ETL) owners by proactively identifying issues upstream to their ETL jobs. Let’s review a few of these principles: Ensure data integrity ?—?Accurately Enable seamless integration?—?

Building 90

Building Metadata Transportation Data Ingestion 90

Cloudera

FEBRUARY 10, 2022

Figure 2: Moving application log data from Azure Event Hub to ADLS Gen2 and SIEM systems. A common use case on Azure is SIEM Optimization (SIEM=security information and event management) for analyzing application log data. Processing Streaming Data. Figure 3: Moving data from Azure Event Hub to ADLS Gen2.

Cloud 116

Cloud Kafka AWS Data Ingestion 116

DataKitchen

MAY 10, 2024

Harnessing Data Observability Across Five Key Use Cases The ability to monitor, validate, and ensure data accuracy across its lifecycle is not just a luxury—it’s a necessity. Data Evaluation Before new data sets are introduced into production environments, they must be thoroughly evaluated and cleaned.

Data Ingestion 60

Data Ingestion Datasets Data Coding 60

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 89

Insurance Banking Data Architecture Data Ingestion 89

Cloudera

AUGUST 11, 2022

Universal Data Distribution Solves DoD Data Transport Challenges. These requirements could be addressed by a Universal Data Distribution (UDD) architecture. UDD provides the capability to connect to any data source anywhere, with any structure, process it, and reliably deliver prioritized sensor data to any destination.

Transportation 95

Transportation Data Ingestion Architecture Data 95

Cloudera

APRIL 22, 2021

This CVD is built using Cloudera Data Platform Private Cloud Base 7.1.5 on Cisco UCS S3260 M5 Rack Server with Apache Ozone as the distributed file system for CDP. Data Generation at Scale. A data generator tool was written to create fake data for Ozone. APACHE OZONE DENSE DEPLOYMENT CONFIGURATION.

Pipeline-centric 102

Pipeline-centric Data Lake Hadoop Metadata 102

Cloudera

OCTOBER 13, 2021

Production ML systems automate business operations and are capable of handling enormous amounts of real-time data. The book details how to implement such a system, enabling and supporting your business’ growth. . Read the book to find out what they mean, and why NiFi is an essential tool for data ingestion and movement.

Machine Learning 76

Machine Learning Data Ingestion Algorithm Technology 76

Striim

SEPTEMBER 11, 2024

Here are six key components that are fundamental to building and maintaining an effective data pipeline. Data sources The first component of a modern data pipeline is the data source, which is the origin of the data your business leverages. Data Processing That brings us to our next step: Data processing.

Data Pipeline 98

Data Pipeline Designing Data Lake Data Warehouse 98

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

Snowflake

APRIL 18, 2024

This blog post explores how Snowflake can help with this challenge. Legacy SIEM cost factors to keep in mind Data ingestion: Traditional SIEMs often impose limits to data ingestion and data retention. With Snowflake, security teams don’t have to work around these data retention windows.

Data Lake 83

Data Lake Data Ingestion Bytes Cloud Computing 83

Christophe Blefari

JANUARY 20, 2024

What is data engineering As I said it before data engineering is still a young discipline with many different definitions. Still, we can have a common ground when mixing software engineering, DevOps principles, Cloud — or on-prem — systems understanding and data literacy.

Data Engineering 130

Data Engineering Data Engineer Engineering Hadoop 130

Cloudera

DECEMBER 20, 2021

Understanding that the future of banking is data-driven and cloud-based, Bank of the West embraced cloud computing and its benefits, like remote capabilities, integrated processes, and flexible systems. The post Recognizing Organizations Leading the Way in Data Security & Governance appeared first on Cloudera Blog.

Government 92

Government Data Security Banking Metadata 92

DataKitchen

MAY 10, 2024

The Five Use Cases in Data Observability: Effective Data Anomaly Monitoring (#2) Introduction Ensuring the accuracy and timeliness of data ingestion is a cornerstone for maintaining the integrity of data systems. This process is critical as it ensures data quality from the onset.

Data Ingestion 56

Data Ingestion Transportation High Quality Data Data Schemas 56

Data Engineering Podcast

JULY 10, 2022

In this episode Chris Riccomini shares his experiences building and scaling data operations at WePay and LinkedIn, as well as the lessons he has learned working with other teams as they automated their own systems. report having current investments in automation, 85% of data teams plan on investing in automation in the next 12 months.

Data Engineering 100

Data Engineering Data Engineer Engineering MongoDB 100

DataKitchen

NOVEMBER 5, 2024

The Bronze layer is the initial landing zone for all incoming raw data, capturing it in its unprocessed, original form. This foundational layer is a repository for various data types, from transaction logs and sensor data to social media feeds and system logs.

Architecture 81

Architecture Raw Data Pipeline-centric Data Ingestion 81

Cloudera

AUGUST 26, 2020

With the way systems are set up, if an exchange let it go even for a few minutes it can go completely unchecked with huge financial implications. All of these happen continuously and repetitively on a daily basis, amounting to petabytes worth of information and data. From a data ingestion standpoint, NiFi is designed for this purpose.

Banking 85

Banking Data Ingestion Kafka Data Lake 85