Snowflake

AUGUST 16, 2023

Read our Summit recap blog for highlights across industries or watch Summit sessions now on-demand. Applications Snowflake Native App Framework now available in AWS – public preview Snowflake Native Apps are an entirely new way to put data to work. Custom Event Billing capabilities enable you to build your own pricing strategy.

Scala 52

Scala Transportation Kafka Data Lake 52

Knowledge Hut

MARCH 19, 2024

I will explore the top 10 AWS applications and their use cases in this blog. AWS Lambda AWS Lambda is a serverless computing service that enables developers to run code in response to events without needing to work with servers. That shows how much AWS has to offer, and you must know about it if you’re a cloud computing enthusiast.

AWS 52

AWS Cloud Computing Amazon Web Services Relational Database 52

Cloudera

AUGUST 4, 2021

I will talk more about Predictive Maintenance in the Public Sector and how government agencies are optimizing equipment maintenance with data insight during Cloudera’s Industry Event on August 5. images, video, text, spectral data) or other input such as thermographic or acoustic signals. .

Unstructured Data 98

Unstructured Data Data Ingestion Government Machine Learning 98

Snowflake

MARCH 21, 2023

In February, Snowflake launched new features around streaming data ingestion and data governance and improved SQL experience and performance, with enhancements to Search Optimization Service and more. Check out Felipe Hoffa’s video on how to use Snowsight to get from data to decision faster. © 2023 Snowflake Inc.

Retail 70

Retail Healthcare Data Ingestion Consulting 70

Cloudera

APRIL 20, 2021

Streaming Analytics is a type of data analysis that processes data streams for real-time analytics. It continuously processes data from multiple streams and performs simple calculations to complex event processing for delivering sophisticated use cases. appeared first on Cloudera Blog. Watch a video.

Hospitality 93

Hospitality Kafka Retail Data Ingestion 93

Cloudera

AUGUST 26, 2020

But if an exchange is able to process data in real-time and detect an unnatural pattern on this stock being traded at extremely high volumes which is affecting the value or price, it can trigger a stop immediately, preventing further disruption or manipulation. From a data ingestion standpoint, NiFi is designed for this purpose.

Banking 82

Banking Data Ingestion Kafka Data Lake 82

Databand.ai

AUGUST 30, 2023

Automation plays a critical role in the DataOps framework, as it enables organizations to streamline their data management and analytics processes and reduce the potential for human error. This can be achieved through the use of automated data ingestion, transformation, and analysis tools.

Data Governance 52

Data Governance Data Pipeline Government Data Cleanse 52

Data Engineering Podcast

JULY 10, 2022

Instead of trapping data in a black box, they enable you to easily collect customer data from the entire stack and build an identity graph on your warehouse, giving you full visibility and control. 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

FreshBI

SEPTEMBER 11, 2023

. ” In the continuously evolving field of data-driven insights, maintaining competitiveness relies not only on in-depth analysis but also on the rapid and precise development of reports. Personalized Notifications Receive automated notifications when critical thresholds are reached, or new data becomes available for analysis.

BI 59

BI Consulting Datasets Data Ingestion 59

DataKitchen

OCTOBER 20, 2023

’ It assigns unique identifiers to each data item—referred to as ‘payloads’—related to each event. By offering real-time tracking mechanisms and sending targeted alerts to specific consumers, a Payload DJ can immediately notify them of any changes, delays, or issues affecting their data.

Insurance 70

Insurance Pharmaceutical Data Data Ingestion 70

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 106

Manufacturing Data Warehouse Kafka Retail 106

Pinterest Engineering

AUGUST 18, 2022

It involves data migration from HBase to TiDB, design and implementation of Unified Storage Service, API migration from Ixia/Zen/UMS to Unified Storage Service, and Offline Jobs migration from HBase/Hadoop ecosystem to TiSpark ecosystem while maintaining our availability and latency SLA. This strategy is the simplest and easiest to implement.

Data Ingestion 52

Data Ingestion Hadoop Database Kafka 52

Snowflake

SEPTEMBER 13, 2023

Business Continuity Data pipelines replication – public preview You can now easily replicate and failover your entire data ingestion and transformations pipelines in Snowflake. Learn more about the GEOMETRY data type and ST_TRANSFORM on our blog. Learn more here. © 2023 Snowflake Inc. All rights reserved.

Python 75

Python SQL Data Pipeline Data Ingestion 75

Cloudera

JULY 21, 2022

Cloudera users can securely connect Rill to a source of event stream data, such as Cloudera DataFlow , model data into Rill’s cloud-based Druid service, and share live operational dashboards within minutes via Rill’s interactive metrics dashboard or any connected BI solution. Low latency (real-time) data ingestion and querying.

BI 84

BI Digital Media Data Warehouse Kafka 84

DataKitchen

OCTOBER 2, 2023

Data Teams and Their Types of Data Journeys In the rapidly evolving landscape of data management and analytics, data teams face various challenges ranging from data ingestion to end-to-end observability. It explores why DataKitchen’s ‘Data Journeys’ capability can solve these challenges.

Data Ingestion 40

Data Ingestion Data Government Datasets 40

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. For now, we’ll focus on Kafka.

Machine Learning 106

Machine Learning Python Kafka Java 106

Rockset

JULY 28, 2022

CDC enables true real-time analytics on your application data, assuming the platform you send the data to can consume the events in real time. Options For Change Data Capture on MongoDB Apache Kafka The native CDC architecture for capturing change events in MongoDB uses Apache Kafka.

MongoDB 52

MongoDB Kafka NoSQL Data Lake 52

Snowflake

APRIL 19, 2023

Welcome to the third blog post in our series highlighting Snowflake’s data ingestion capabilities, covering the latest on Snowpipe Streaming (currently in public preview) and how streaming ingestion can accelerate data engineering on Snowflake. What is Snowpipe Streaming?

Data Ingestion 56

Data Ingestion Kafka Java Data Pipeline 56

Rockset

SEPTEMBER 8, 2021

At Rockset, we work hard to build developer tools (as well as APIs and SDKs) that allow you to easily consume semi-structured data using SQL and run sub-second queries on real-time data. In the community, we’ll be sharing topics related to product releases, blogs, events, memes, and more.

SQL 52

SQL Data Ingestion Consulting Data Pipeline 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. NiFi can handle all types of data across any type of data source.

Management 72

Management Data Ingestion Machine Learning Java 72

Cloudera

FEBRUARY 9, 2021

Today’s customers have a growing need for a faster end to end data ingestion to meet the expected speed of insights and overall business demand. This ‘need for speed’ drives a rethink on building a more modern data warehouse solution, one that balances speed with platform cost management, performance, and reliability.

Data Warehouse 69

Data Warehouse Cloud Kafka Cloud Storage 69

LinkedIn Engineering

DECEMBER 12, 2023

Less stringent privacy baselines have been proposed in the literature, such as event-level privacy which would consider the privacy of each new view in our setting. Pinot is a columnar OLAP store that serves analytics queries on data ingested from realtime streams. For data retrieval, we expose multiple Rest.li

Algorithm 77

Algorithm Metadata SQL Datasets 77

Knowledge Hut

MARCH 22, 2024

It includes the service and capability portfolio that makes the device connectivity, data ingestion, analytics, and integration with other cloud services. In this blog, I will explain all the fundamentals of Azure IoT and how it offers various solutions to cater to businesses worldwide. trillion by 2026.

Cloud Computing 52

Cloud Computing Utilities Cloud Transportation 52

Cloudera

JUNE 28, 2022

In a previous blog of this series, Turning Streams Into Data Products , we talked about the increased need for reducing the latency between data generation/ingestion and producing analytical results and insights from this data. This blog will be published in two parts.

Process 82

Process Kafka SQL Machine Learning 82

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

Rockset

MAY 12, 2022

This is the third post in a series by Rockset's CTO Dhruba Borthakur on Designing the Next Generation of Data Systems for Real-Time Analytics. We'll be publishing more posts in the series in the near future, so subscribe to our blog so you don't miss them! Major news events can set the markets afire with electronic trades.

Analytics Application 52

Analytics Application Lambda Architecture Hadoop Electronics 52

DareData

JULY 5, 2023

In this blog post, we aim to share practical insights and techniques based on our real-world experience in developing data lake infrastructures for our clients - let's start! Typically, it is advisable to retain the data in its original, unaltered format when transferring it from any source to the data lake layer.

Data Lake 52

Data Lake Building Raw Data ETL Tools 52

Rockset

JULY 6, 2022

This is the fifth post in a series by Rockset's CTO and Co-founder Dhruba Borthakur on Designing the Next Generation of Data Systems for Real-Time Analytics. We'll be publishing more posts in the series in the near future, so subscribe to our blog so you don't miss them! Most notable are real-time event streams.

NoSQL 52

NoSQL SQL Systems PostgreSQL 52

Rockset

MAY 17, 2022

This is the fourth post in a series by Rockset's CTO Dhruba Borthakur on Designing the Next Generation of Data Systems for Real-Time Analytics. We'll be publishing more posts in the series in the near future, so subscribe to our blog so you don't miss them! Instant scaleup of data writes or queries to handle bursts of data.

SQL 52

SQL NoSQL Hadoop MongoDB 52

ProjectPro

FEBRUARY 16, 2023

From monitoring and searching through big data to generating alerts, reports, and visualizations, Splunk offers several such features to help businesses achieve their goals. This clearly shows how crucial it is for data engineers to be familiar with the Splunk platform if they want to succeed in the big data industry.

Big Data 52

Big Data Big Data Tools Cloud Data 52

Maxime Beauchemin

JANUARY 20, 2017

The fact that ETL tools evolved to expose graphical interfaces seems like a detour in the history of data processing, and would certainly make for an interesting blog post of its own. Sure, there’s a need to abstract the complexity of data processing, computation and storage.

Data Engineering 130

Data Engineering Data Engineer Engineering ETL Tools 130

Rockset

AUGUST 30, 2021

The latest Rockset release, SQL-based rollups, has made real-time analytics on streaming data a lot more affordable and accessible. Anyone who knows SQL, the lingua franca of analytics, can now rollup, transform, enrich and aggregate real-time data at massive scale.

SQL 52

SQL Kafka MongoDB MySQL 52

Cloudera

NOVEMBER 27, 2017

In an earlier VISION post, The Five Markers on Your Big Data Journey , Amy O’Connor shared some common traits of many of the most successful data-driven companies. In this blog, I’d like to explore what I believe is the most important of those traits, building and fostering a culture of data. .

Big Data 41

Big Data Building Telecommunication Data Ingestion 41

Cloudera

AUGUST 31, 2021

Smart DwH Mover helps in accelerating data warehouse migration. Smart Data Validator helps in extensive data reconciliation and testing. Here is the flow of events during migration by leveraging tools from Smart Data Transition Toolkit. Smart Query Convertor converts queries and views to be made compatible on CDW.

Data Warehouse 82

Data Warehouse Database-centric Metadata Cloud 82

Rockset

DECEMBER 17, 2020

Together, they empower developers to build performant internal tools, such as customer 360 and logistics monitoring apps, by solely using data APIs and pre-built UI components. In this blog, we’ll be building a customer 360 app using Rockset and Retool. For this blog, we’ll be using the customer support tool template.

Building 40

Building Aggregated Data SQL Data Ingestion 40

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

ProjectPro

DECEMBER 7, 2021

Data pipelines are a significant part of the big data domain, and every professional working or willing to work in this field must have extensive knowledge of them. Data pipelines must be scalable due to the volume of big data, which might fluctuate over time.

Data Pipeline 52

Data Pipeline Architecture Kafka AWS 52