IBM Journey to AI blog

APRIL 2, 2024

IBM MQ boasts the ability to seamlessly integrate with other processing tools with its connectors (including Kafka connectors), APIs and standard messaging protocols. However, IBM MQ and Apache Kafka can sometimes be viewed as competitors, taking each other on in terms of speed, availability, cost and skills.

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IBM Journey to AI blog

JANUARY 8, 2024

They often use Apache Kafka as an open technology and the de facto standard for accessing events from a various core systems and applications. IBM provides an Event Streams capability build on Apache Kafka that makes events manageable across an entire enterprise. This approach then enables them to build new responsive applications.

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Precisely

JULY 21, 2023

Used by more than 75% of the Fortune 500, Apache Kafka has emerged as a powerful open source data streaming platform to meet these challenges. But harnessing and integrating Kafka’s full potential into enterprise environments can be complex. This is where Confluent steps in.

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Precisely

DECEMBER 28, 2023

One very popular platform is Apache Kafka , a powerful open-source tool used by thousands of companies. But in all likelihood, Kafka doesn’t natively connect with the applications that contain your data. In a nutshell, CDC software mines the information stored in database logs and sends it to a streaming event handler like Kafka.

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Data Science 101

MARCH 7, 2020

The Cloud Data Science world is keeping busy. Azure HDInsight now supports Apache analytics projects This announcement includes Spark, Hadoop, and Kafka. The post Cloud Data Science 10 appeared first on Data Science 101. Lots of happenings this week. The service is awesome but used to be a bit spendy to try out.

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The MLOps Blog

FEBRUARY 5, 2023

There are a number of tools that can help with streaming data collection and processing, some popular ones include: Apache Kafka : An open-source, distributed event streaming platform that can handle millions of events per second. Azure Stream Analytics : A cloud-based service that can be used to process streaming data in real-time.

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ODSC - Open Data Science

FEBRUARY 6, 2024

Apache Kafka For data engineers dealing with real-time data, Apache Kafka is a game-changer. Snowflake vs. Amazon Redshift vs. Google BigQuery When it comes to cloud data warehouses, Snowflake, Amazon Redshift, and Google BigQuery are often at the forefront of discussions.

Data Engineering 52

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phData

APRIL 29, 2024

These EMR, EHR, and other healthcare source systems can be hosted either on-premises, in the cloud, or in a hybrid setup and typically leverage database technologies such as ODBMS or RDBMS to store and organize large amounts of data. Some even provide a relational layer specifically designed for analytics, while others expose APIs.

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phData

MARCH 7, 2023

While building a whole new application might sound like a lot of work, if you’re already using Kafka to connect to Snowflake, you can upgrade your connection to version 1.8 and have your Kafka connector use the Streaming Ingest SDK instead of writing messages or streams to an internal stage.

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ODSC - Open Data Science

JUNE 1, 2023

We’re going to assume that the pizza service already captures orders in Apache Kafka and is also keeping a record of its customers and the products that they sell in MySQL. It can ingest from batch data sources (such as Hadoop HDFS, Amazon S3, and Google Cloud Storage) as well as stream data sources (such as Apache Kafka and Redpanda).

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Precisely

OCTOBER 26, 2023

Cloud computing has been transformational for many organizations. For companies running IBM i systems, the move to the cloud can open up new possibilities for running HA. Yet virtualization and cloud computing are built around new paradigms. As a platform, IBM i is starting to come into its own as a cloud computing environment.

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Precisely

SEPTEMBER 12, 2023

Precisely data integrity solutions fuel your Confluent and Apache Kafka streaming data pipelines with trusted data that has maximum accuracy, consistency, and context and we’re ready to share more with you at the upcoming Current 2023. Let’s cover some additional information to know before attending.

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Data Silos Apache Kafka Data Pipeline Data Quality 52

Precisely

JUNE 2, 2023

According to McKinsey, “businesses that follow the lead of cloud migration outperformers stand to unlock some $1 trillion in value.” Gartner estimates that 85% percent of organizations plan to fully embrace a cloud-first strategy by 2025. Those statements echo what most insurance executives already know. To learn more, read our ebook.

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Data Silos ETL Data Quality Data Pipeline 52

Console DevTools podcast

JANUARY 19, 2022

Other things mentioned: MongoDB Postgres Scuba High cardinality Druid Kafka AWS Lambda Zookeeper Appropriate observability Akita Software Sourcegraph Charity.wft Honeycomb blog Let us know what you think on Twitter: [link] [link] [link] Or by email: hello@console.dev About Console Console is the place developers go to find the best tools.

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Precisely

MAY 31, 2023

Teams are building complex, hybrid, multi-cloud environments, moving critical data workloads to the cloud, and addressing data quality challenges. The act of bringing data into hybrid cloud and VPC environments doesn’t solve data integrity challenges by itself.

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Data Quality Data Governance Data Observability ETL 52

Flipboard

NOVEMBER 21, 2023

In recent years, MathWorks has brought many product offerings into the cloud, especially on Amazon Web Services (AWS). For more details about MathWorks cloud products, see MATLAB and Simulink in the Cloud or email Mathworks. Docker set up in an Amazon Elastic Compute Cloud (Amazon EC2) instance where MATLAB is running. Either

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ODSC - Open Data Science

FEBRUARY 2, 2023

Cloud Engineering Most data science is done on the cloud now, as teams will be working together to analyze large datasets consistently across the team. Cloud Services The only two to make multiple lists were Amazon Web Services (AWS) and Microsoft Azure. You’ll see specific tools in the next section.

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Smart Data Collective

OCTOBER 27, 2021

Snowflake provides the right balance between the cloud and data warehousing, especially when data warehouses like Teradata and Oracle are becoming too expensive for their users. Google BigQuery is a serverless and cost-effective multi-cloud data warehouse. hour (Engine:1 x c5d.4xlarge). Google BigQuery. Druid has no initial price.

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ODSC - Open Data Science

JUNE 8, 2023

Microsoft Azure Comprising more than 200 products and cloud services, Microsoft Azure aims to meet organizations where they are (in the cloud, in-person, or a hybrid of the two) to help develop new business solutions. Check them out below. Delta Lake Delta Lake is an open-source data lakehouse architecture service.

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Machine Learning Machine Learning Azure Data Science 52

O'Reilly Media

SEPTEMBER 15, 2021

Cloud certifications, specifically in AWS and Microsoft Azure, were most strongly associated with salary increases. As we’ll see later, cloud certifications (specifically in AWS and Microsoft Azure) were the most popular and appeared to have the largest effect on salaries. What about Kafka? Is Spark a tool or a platform?

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AWS Machine Learning Blog

MARCH 30, 2023

To ensure real-time updates of ball recovery times, we have implemented Amazon Managed Streaming for Apache Kafka (Amazon MSK) as a central solution for data streaming and messaging. A Lambda function retrieves all recovery times from the relevant Kafka topic and stores them in an Amazon Aurora Serverless database.

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ODSC - Open Data Science

JULY 22, 2023

On Wednesday, Henk Boelman, Senior Cloud Advocate at Microsoft, spoke about the current landscape of Microsoft Azure, as well as some interesting use cases and recent developments. Keynotes Our main keynote sessions were held on the virtual side of the conference. You can read the recap here and watch the full keynote here.

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Data Science Dojo

MARCH 9, 2023

It is a cloud-based messaging system with a comprehensive set of tools that makes it easy and affordable to develop queue-based applications. Challenges for individuals Traditional messaging brokers, such as Apache Kafka, RabbitMQ, and ActiveMQ, have been widely used to enable communication between applications and services.

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AWS Machine Learning Blog

NOVEMBER 3, 2023

m How it’s implemented In our quest to accurately determine shot speed during live matches, we’ve implemented a cutting-edge solution using Amazon Managed Streaming for Apache Kafka (Amazon MSK). We’ve implemented an AWS Lambda function with the specific task of retrieving the calculated shot speed from the relevant Kafka topic.

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phData

MARCH 1, 2024

Fortunately, the client has opted for Snowflake Data Cloud as their target data warehouse. In the next blog, we will see how to use Schema evolution with Kafka to automate the creation of fields as the data is ingested. For the older records, the value will be set to NULL. Validate the data by querying the table.

Data Engineering 52

Data Engineering Data Engineer Data Engineering Data Engineering 52

Pickl AI

JULY 24, 2023

Utilising data streaming platforms such as Apache Kafka, Apache Flink, or Apache Spark Streaming, data is gathered from many sources and processed in real-time or close to real-time. Cloud-Based Data Ingestion: Cloud-based data ingestion is the process of gathering, analysing, and storing data via cloud services.

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Internet of Things Apache Kafka ETL Azure 52

ODSC - Open Data Science

JUNE 29, 2023

Video of the Week: Leveraging Data in Motion in a Cloud-first World In this talk, Jun Rao will take you on a journey through the story behind Kafka. ODSC West Call for Speakers Interested in sharing your thought leadership, expertise, or use cases with the data science community?

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ODSC - Open Data Science

JULY 14, 2023

The session participants will learn the theory behind compound sparsity, state-of-the-art techniques, and how to apply it in practice using the Neural Magic platform.

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Machine Learning Machine Learning Apache Kafka Data Science 52

AWS Machine Learning Blog

MARCH 30, 2023

For every xSaves prediction, it produces a message with the prediction as a payload, which then gets distributed by a central message broker running on Amazon Managed Streaming for Apache Kafka (Amazon MSK). He supports customers in developing data-driven applications within the cloud.

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phData

APRIL 18, 2024

We will ingest data using Confluent Kafka and enable Schema detection in the Kafka connector. In the current process, Snowflake supports detection and evolution for CSV, Parquet, and JSON in files and JSON within streaming data from Kafka. This is very helpful during batch loading using the COPY command or while using Snowpipe.

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Clustering Data Engineering Data Engineer Data Engineering 52

ODSC - Open Data Science

MAY 31, 2023

Be sure to check out his talk, “ Apache Kafka for Real-Time Machine Learning Without a Data Lake ,” there! The combination of data streaming and machine learning (ML) enables you to build one scalable, reliable, but also simple infrastructure for all machine learning tasks using the Apache Kafka ecosystem.

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The MLOps Blog

MARCH 15, 2023

Most organizations are using multiple cloud-based vendors which makes it important for them to prefer a tool that works seamlessly across all the vendors and meets varying data processing needs. Further, they are interested to know how data quality checks are applied throughout the data pipelines. Easy-to-use User Interface.

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Data Pipeline ETL SQL Data Quality 59

AWS Machine Learning Blog

JANUARY 6, 2023

Then the events are ingested into TR’s centralized streaming platform, which is built on top of Amazon Managed Streaming for Kafka (Amazon MSK). Amazon MSK makes it easy to ingest and process streaming data in real time with fully managed Apache Kafka. He helps Enterprise customers to accelerate their journey to the cloud.

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IBM Journey to AI blog

NOVEMBER 9, 2023

Apache Kafka is a high-performance, highly scalable event streaming platform. To unlock Kafka’s full potential, you need to carefully consider the design of your application. It’s all too easy to write Kafka applications that perform poorly or eventually hit a scalability brick wall.

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Pickl AI

JULY 20, 2023

Real-time Data Stream Analysis: Use Python with libraries like Apache Kafka and Apache Spark to process and analyze real-time data streams from sources like Twitter, sensors, or website logs. They should also consider leveraging cloud platforms like AWS or Google Cloud for handling large-scale datasets and computing resources if needed.

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IBM Journey to AI blog

JUNE 26, 2023

Scenario 2: Realize high-speed transmission of massive data between branch production workshops and headquarters with Aspera Module of IBM Cloud Pak for Integration, establishing data foundation for intelligent inventory platform with predictability. In auto parts manufacturing, injection molding is one of the important processes.

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AI AI Clustering Artificial Intelligence 65

Precisely

JANUARY 25, 2024

But today’s cloud platforms offer similar capabilities, with the added benefits of flexibility, elasticity, and virtually unlimited scalability. The cloud helps companies lower their capital expenditures, enhance operational efficiency, and innovate faster. They’re also valued for their rock-solid reliability, boasting 99.999% uptime.

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