Datavail

JANUARY 5, 2023

Real-time streaming ingestion for Amazon Kinesis Data Streams and Amazon Managed Streaming for Apache Kafka is now generally available for Redshift. Amazon Redshift integration for Apache Spark streamlines the process for using Redshift in your Apache Spark applications. Amazon Athena now has Apache Spark support.

AWS 52

AWS Analytics Disaster Recovery Serverless 52

InnovationM

MAY 14, 2023

Tools like Apache Kafka, Apache NiFi, or AWS Glue facilitate the extraction, transformation, and loading (ETL) processes, bringing data from various sources into the data lake. Tools like Apache Atlas and Collibra provide features to organize, catalog, and document data assets within the data lake.

Data 52

Data Storage Construction Business Intelligence 52

Cloudera

OCTOBER 13, 2020

At the heart of CDP is SDX , a unified context layer for governance and security, that makes it easy to create a secure data lake and run workloads that address all stages of your data lifecycle (collect, enrich, report, serve and predict). Enrich – Data Engineering (Apache Spark and Apache Hive). This is Now.

Cloud 92

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Cloudera

JANUARY 20, 2021

Reporting – delivering business enterprise insight (sales analysis and forecasting, market research, budgeting as examples). These insights will deliver dashboards, reports and predictive analytics that drive high value manufacturing use cases. STEP 4: Capture data from Apache Kafka streams.

Data 105

Data Artificial Inteligence Analytics Machine Learning 105

Cloudera

APRIL 29, 2021

Cloudera released a lot of things around Apache NiFi recently! that provides Apache NiFi on top of Cloudera Data Platform (CDP) 7.1.6. This major release provides the latest and greatest of Apache NiFi as it includes Apache NiFi 1.13.2 We just released Cloudera Flow Management (CFM) 2.1.1 Cloudera also released CDP 7.2.9

Cloud 72

Cloud Azure Metrics Google Cloud 72

Cloudera

APRIL 20, 2021

Transportation: Monitor truck health and performance from smartphones and tablets, prioritize needed reports, and quickly identify the nearest dealer service locations. Streamings Messaging , powered by Apache Kafka, buffers and scales massive volumes of data streams for streaming analytics.

Analytics 93

Analytics Retail Architecture Government 93

Cloudera

JANUARY 19, 2022

Gartner® recognized Cloudera in three recent reports – Magic Quadrant for Cloud Database Management Systems (DBMS), Critical Capabilities for Cloud Database Management Systems for Analytical Use Cases and Critical Capabilities for Cloud Database Management Systems for Operational Use Cases. Download the reports to see the detailed scores .

Report 88

Report Technical Advisors Cloud Analytics 88

Instaclustr

SEPTEMBER 15, 2021

With the release of AWS’s Graviton2 (ARM) instances and gp3 disks, we at Instaclustr saw an opportunity to further improve the quality of our Managed Apache Kafka offering. All of our previous offerings have used Java 11 (OpenJDK) to run the Kafka service on x86 instances. Graviton2/gp3 vs. x86/gp2 Benchmarking. x86 – gp2.

AWS 41

AWS Performance Architecture Network 41

TIBCO - Connected Intelligence

OCTOBER 5, 2020

Yet, developers are building more Apache Kafka-based real-time analytics applications than ever before. In fact, there have been more than 5 million unique lifetime downloads of Kafka since 2011. Kafka has been trusted for almost a decade as a de facto open-source standard for real-time data. Time to Reimagine Kafka.

Analytics 37

Analytics Open Source Virtualization Infrastructure 37

TIBCO - Connected Intelligence

DECEMBER 22, 2020

In light of this, organizations have been turning en masse to Apache Kafka , and with good reason, as it’s just about the perfect tool for integrating these wildly diverse streams of real-time data across multiple, connected applications to improve decision-making. The Problem with Kafka: Accessing Real-Time Information.

Analytics 47

Analytics Artificial Inteligence Sport Artificial Intelligence 47

Confluent

JUNE 27, 2019

Confluent’s clients for Apache Kafka ® recently passed a major milestone—the release of version 1.0. Magnus Edenhill first started developing librdkafka about seven years ago, later joining Confluent in the very early days to help foster the community of Kafka users outside the Java ecosystem. For this reason, in the v1.0

Construction 106

Construction Games Examples Comparison 106

CTOvision

MARCH 1, 2016

This announcement encompassed a new distribution approach for Apache™ Hadoop ® with the latest release of HDP 2.4, which includes the latest generation of Apache Spark 1.6, As part of this distribution strategy, Hortonworks also announced the general availability of Apache Spark 1.6, Apache Ambari 2.2 Related articles.

Analytics 61

Analytics Strategy Big Data Data Engineering 61

O'Reilly Media - Data

AUGUST 16, 2018

Several products offer solutions to process streaming data, both proprietary and open source: Amazon Web Services, Azure, and innumerable tools contributed to the Apache Foundation, including Kafka, Pulsar, Storm, Spark, and Samza. Apache Lucene, and related search engines, are also unique in the extensive capabilities they provide.

Big Data 123

Big Data Data Storage Azure 123

Instaclustr

JUNE 4, 2019

In the past few months, our Technology Evangelist, Paul Brebner has been relentlessly testing the limits of massive-scale deployment of a data pipeline consisting of Apache Kafka and Apache Cassandra on the Instaclustr Managed Platform in conjunction with an example Anomaly detection application running on a Kubernetes cluster deployed on AWS EKS.

Scalability 29

Scalability Open Source AWS Applications 29

O'Reilly Media - Ideas

FEBRUARY 4, 2019

You can find full results from the survey in the free report “Evolving Data Infrastructure”.). For example, the chart below lists popular (batch and streaming) data processing tools used by respondents based in Europe: Many of the systems listed in the previous chart—Apache Spark, Kafka, Hadoop, etc.,—have

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Artificial Inteligence Artificial Intelligence Machine Learning Enterprise 111

Datavail

JULY 14, 2022

‘Streaming’ data refers to a continuous flow of information that has no beginning or end and is constantly reflecting and reporting on current activities. However, data-in-transit is moving from one place to another, usually from a machine, program, or device to a data warehouse where programming integrates it for use in systems.

Data 52

Data AWS Analytics Programming 52

Bernd Rucker

JUNE 23, 2020

This is why we added event-based processes in our monitoring and reporting tool Camunda Optimize. You can build powerful reports, dashboards and alerts. This makes the event ingestion from Kafka simple. You basically have to build a small component that subscribes to Kafka and send all events over to Optimize.

Microservices 52

Microservices Architecture Retail Examples 52

TIBCO - Connected Intelligence

MAY 28, 2021

Being able to provide a platform that offers these capabilities is one thing, but being able to be a leading vendor is another, which is why TIBCO is proud to announce that The Aragon Research Globe Digital Business Platforms 2021 report has named TIBCO a Leader for the third time! Digital Business Platforms: Notes on Criteria.

Research 29

Research Innovation Cloud Leadership 29

Altexsoft

AUGUST 29, 2023

However, they can handle thousands of daily queries for tasks such as reporting and forecasting business conditions. Tools often used for batch ingestion include Apache Nifi, Flume, and traditional ETL tools like Talend and Microsoft SSIS. Apache Kafka and AWS Kinesis are popular tools for handling real-time data ingestion.

Architecture 52

Architecture Data Storage Machine Learning 52

Confluent

SEPTEMBER 26, 2019

In the early days, many companies simply used Apache Kafka ® for data ingestion into Hadoop or another data lake. However, Apache Kafka is more than just messaging. Batch processing and reports after minutes or even hours is not sufficient. Apache Kafka as an event streaming platform for real-time analytics.

Analytics 21

Analytics Serverless Blockchain Microservices 21

Cloudera

DECEMBER 9, 2020

And in so doing, enrich the organization and secure, report, serve and predict on all the data they have access to. . Entrants in this award category are so important to recognize because of how they tie every piece of their data strategy together.

Data 70

Data Telecommunications Analytics Mobile 70

Altexsoft

FEBRUARY 11, 2023

It serves as a foundation for the entire data management strategy and consists of multiple components including data pipelines; , on-premises and cloud storage facilities – data lakes , data warehouses , data hubs ;, data streaming and Big Data analytics solutions ( Hadoop , Spark , Kafka , etc.);

Data 87

Data Data Engineering Big Data Architecture 87

TIBCO - Connected Intelligence

OCTOBER 5, 2021

According to the Forrester report: “TIBCO supports its integration platform with additional products like data virtualization, an internal service mesh, and data governance. Download The Forrester Wave : Enterprise iPaaS, Q4 2021 report with TIBCO’s compliments to learn more about TIBCO’s placement.

Industry 26

Industry B2B Cloud Case Study 26

Altexsoft

FEBRUARY 11, 2020

TheHive is designed as a companion for MISP and can integrate intelligence from email reports, SIEMs and computer telephony providers. Apache Metron. Cons include: Requires working knowledge of Hadoop, Storm, Kafka, Zookeeper, and HBase. It enables multiple analysts to work simultaneously with real-time information. Conclusion.

Tools 109

Tools Linux Analysis Open Source 109

Instaclustr

OCTOBER 13, 2021

In Part 6 and Part 7 of the pipeline series we took a different path in the pipe/tunnel and explored PostgreSQL and Apache Superset, mainly from a functional perspective—how can you get JSON data into PostgreSQL from Kafka Connect , and what does it look like in Superset. But how big is big enough?

Performance 83

Performance Metrics Systems Review Testing 83

Bernd Rucker

NOVEMBER 18, 2019

How and why to bring workflow to Apache Kafka In the last year I had a lot of contact with the community around Kafka and Confluent (the company behind Apache Kafka)?—?a Some have Kafka in production already, at the heart of their company. You can find a good intro in the Kafka docs.

Microservices 8

Microservices Architecture Scalability Course 8

Confluent

MARCH 4, 2019

A trend often seen in organizations around the world is the adoption of Apache Kafka ® as the backbone for data storage and delivery. Whether customers are using their mobile phone to check their savings or getting a hard copy report directly from a branch, the data needs to be the same. Journey from mainframe to cloud.

Cloud 88

Cloud Fractional CTO Software Review Banking 88

Linux Academy

FEBRUARY 26, 2019

Whether it is using CoreOS for container implementations, clustering, or understanding how to update and view reports, this course will allow you to gain hands-on experience with CoreOS. You will walk through a local installation as well as how to use our Cloud Servers in order to follow along with our demos.

Linux 80

Linux AWS Big Data Course 80

Linux Academy

JUNE 25, 2019

Principal Systems Engineer from Symantec Corporation and Ell Marquez for a Threat Report Rundown. Linux Academy Study Group July 2019: Symantec Threat Report Rundown. This month, join Scott Parker, Sr. Stay tuned to the Linux Academy blog for details! Linux Academy Free Courses in July. AWS Essentials.

Linux 60

Linux Course Cloud Google Cloud 60

Confluent

MAY 21, 2019

The profile service will publish the changes in profiles, including address changes to an Apache Kafka ® topic, and the quote service will subscribe to the updates from the profile changes topic, calculate a new quote if needed and publish the new quota to a Kafka topic so other services can subscribe to the updated quote event.

Microservices 110

Microservices Architecture Software Review Insurance 110

Cloudera

AUGUST 2, 2021

Recently, I worked with a large fortune 500 customer on their migration from Apache Storm to Apache NiFi. A few customers chose a complex event engine like Apache Storm for their simple event processing, even when Apache NiFi is the more practical choice, cutting drastically down on SDLC (software development lifecycle) time.

SDLC 114

SDLC Hardware Performance Applications 114

Cloudera

DECEMBER 14, 2020

That is why we are outlining four reasons that you should consider for upgrading from Hortonworks DataFlow (HDF), Hortonworks Data Platform (HDP) or Cloudera’s Distribution including Apache Hadoop (CDH) to CDP today. . This eliminates overhead that previously resulted from running dedicated Apache Ambari instances for each cluster.

Analytics 69

Analytics Big Data Government Cloud 69

Confluent

JUNE 7, 2019

How we use Apache Kafka and the Confluent Platform. Apache Kafka ® is the central data hub of our company. At TokenAnalyst, we’re using Kafka for ingestion of blockchain data—which is directly pushed from our cluster of Bitcoin and Ethereum nodes—to different streams of transformation and loading processes.

Blockchain 92

Blockchain Data Technical Review Software Review 92

Confluent

MARCH 12, 2019

On the heels of part one in this blog series, Spring for Apache Kafka – Part 1: Error Handling, Message Conversion and Transaction Support , here in part two we’ll focus on another project that enhances the developer experience when building streaming applications on Kafka: Spring Cloud Stream. What is Spring Cloud Stream?

Cloud 111

Cloud Applications Groups Examples 111

CIO

NOVEMBER 28, 2023

We’ve addressed this by leveraging stream processing frameworks like Apache Kafka,” he says. It culminates in the reporting and communication of findings. Reports typically involve a structured presentation of key findings, methodologies, and the implications of the analysis,” Minarik says.

Artificial Inteligence 302

Artificial Inteligence Data Games Analysis 302

Confluent

MAY 15, 2019

He describes the traditional way of segmenting systems as either analytic or transactional, with transactional systems being the ones that generate useful data, and analytic systems being the ones that use that data for decision-making and reporting. Oracle GoldenGate is only a source for Kafka, not a sink.

Analytics 91

Analytics Cloud Data System 91

Altexsoft

NOVEMBER 7, 2022

But apparently, things were much more difficult before Apache Airflow appeared. What is Apache Airflow? Apache Airflow is an open-source Python -based workflow orchestrator that enables you to design, schedule, and monitor data pipelines. Source: Apache Airflow. Source: Apache Airflow. How data engineering works.

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Weak Development Team Technical Review Software Review Systems Review 52