Cloudera

MARCH 14, 2023

We just announced the general availability of Cloudera DataFlow Designer , bringing self-service data flow development to all CDP Public Cloud customers. In this blog post we will put these capabilities in context and dive deeper into how the built-in, end-to-end data flow life cycle enables self-service data pipeline development.

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Data Pipeline Designing Kafka Metadata 85

Monte Carlo

FEBRUARY 8, 2024

Just as a watchmaker meticulously adjusts every tiny gear and spring in harmonious synchrony for flawless performance, modern data pipeline optimization requires a similar level of finesse and attention to detail. Learn how cost, processing speed, resilience, and data quality all contribute to effective data pipeline optimization.

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Data Pipeline AWS Datasets Data 52

RandomTrees

FEBRUARY 22, 2024

How to Migrate Your Business to the Cloud Moving to the google cloud workload is one of the most impressive things your business can utilize to build your adaptability, flexibility, and productivity. It can incorporate applications, data sets, virtual machines, compartments, and different parts important to help business tasks.

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Knowledge Hut

JANUARY 18, 2024

Most organizations are still in the initial stages of learning how to apply data science to gain business benefits and healthy returns. To maximize the benefits of data science, people need to have good technical knowledge of managing the data in a production environment, without which the awareness of full stack data science is insufficient.

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Data Science Computer Science Programming Language Machine Learning 96

Pinterest Engineering

OCTOBER 31, 2023

In this article, we discuss the PinCompute primitives, architecture, control plane and data plane capabilities, and showcase the value that PinCompute has delivered for innovation and efficiency at Pinterest. PinScaler is an abstraction that supports application auto scaling at Pinterest.

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DoorDash Engineering

FEBRUARY 15, 2023

When this process works well, it can be an amazing experience to work on a product development team, ship ML models to production, and make them 1% better every day. The process usually starts with first identifying a product that we could improve by using Machine Learning.

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Food Machine Learning Architecture Building 72

Data Engineering Weekly

JULY 2, 2023

Data Engineering Weekly Is Brought to You by RudderStack RudderStack Profiles takes the SaaS guesswork, and SQL grunt work out of building complete customer profiles, so you can quickly ship actionable, enriched data to every downstream team. So, let's shape the future of Data Engineering together. See how it works today.

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Data Engineering Data Engineer Engineering Pipeline-centric 52

Cloudera

OCTOBER 30, 2023

The legacy IT infrastructure to run the business operations — mainly data centers — has a deadline to shift to cloud-based services. The public cloud is increasingly becoming the preferred platform to host data analytics – related projects, such as business intelligence, machine learning (ML), and AI applications.

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Cloud Finance Cloud Computing Government 79

Edureka

APRIL 17, 2024

This process comprises the deployment of a fully automated pipeline where the codes flow through from source control to production without any manual input. You’ll also get a chance to include load balancing , scaling mechanisms and monitoring solutions that promise optimal performance and availability of the application.

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Picnic Engineering

JULY 10, 2023

My name is Ilonka Cornelissen , and I’m the Product Owner of the Customer Success tech team. As a Product Owner, I’m responsible for developing a product vision, drafting a roadmap, and aligning with all our stakeholders to make sure we are working on the right things that deliver value to our customers and internal users.

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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. containing data that may have to be used to enrich the streaming data.

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DataKitchen

NOVEMBER 18, 2022

Part 3: Considering the Elements of Data Journeys. Observability is a methodology for providing visibility of every journey that data takes from source to customer value across every tool, environment, data store, team, and customer so that problems are detected and addressed immediately. Data and tool tests.

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Knowledge Hut

MARCH 5, 2024

Therefore, Salesforce CRM comes with several integrated data security measures. Salesforce executives invest money in product updates that integrate cutting-edge technologies like AI, Big Data, and ML to improve the overall efficiency of the product. The AWS Security Center has more information.

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Cloudera

OCTOBER 4, 2022

This blog post will provide guidance to administrators currently using or interested in using Kafka nodes to maintain cluster changes as they scale up or down to balance performance and cloud costs in production deployments. This creates flexibility to handle real-time data feed volumes as they fluctuate. or higher.

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Knowledge Hut

NOVEMBER 16, 2023

Modern businesses no longer have to worry as much about creating and maintaining data centers, thanks to cloud computing. AWS services list and products cheat sheet provides information on these fundamental concepts. AWS does not require the establishment of an in-house data center or the use of general-purpose leasing servers.

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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.

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AltexSoft

JUNE 14, 2021

For example, these companies use customer data from wearable and smart devices to monitor the user’s lifestyle. If the user’s data indicate the emergence of a serious medical condition, they can send the customer content designed to change their detrimental lifestyle or recommend immediate treatment. Personalized communications.

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Insurance Medical Machine Learning Algorithm 88

Cloudera

DECEMBER 10, 2020

Why worry about costs with cloud-native data warehousing? Have you been burned by the unexpected costs of a cloud data warehouse? If not, before adopting a cloud data warehouse, consider the true costs of a cloud-native data warehouse. These costs impede the adoption of cloud-native data warehouses.

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Data Warehouse Cloud Storage Metadata Data 98

Zalando Engineering

NOVEMBER 29, 2017

In this blog post, we share our experiences and lessons learned to run our real-time applications built with Kafka’s Streams API in production on Amazon Web Services (AWS). in mid-2016, so we hope you find this hands-on information helpful for running your own use cases in production. What is Apache Kafka’s Streams API?

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Pinterest Engineering

SEPTEMBER 26, 2023

Training foundations cover a lot of aspects, from training preparation (training data logging, feature freshness, sampling strategies, hyperparameter tuning, etc), to training efficiency optimization (distributed training, model refreshes, GPU training, etc), to post training validation (offline replay, etc).

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Software Engineer Software Engineering Machine Learning Datasets 90

Knowledge Hut

JANUARY 3, 2024

Amazon S3 Amazon S3 is an object storage service which allows users to store and retrieve data from anywhere using the internet. In S3, data consists of the following components – key (name), value (data), version ID, metadata and access control lists. AWS has several auto-scaling services which take care of this function.

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Data Engineering Podcast

OCTOBER 23, 2022

Applying those same practices to data can prove challenging due to the number of systems that need to be included to implement a complete feature. Atlan is the metadata hub for your data ecosystem. Data engineers don’t enjoy writing, maintaining, and modifying ETL pipelines all day, every day.

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Cloudera

MARCH 11, 2021

Data flows are an integral part of every modern enterprise. At Cloudera, we’re helping our customers implement data flows on-premises and in the public cloud using Apache NiFi , a core component of Cloudera DataFlow. In this blog post, I want to share the top three requirements for data flows in 2021 that we hear from our customers.

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Cloud Data Data Warehouse Data Integration 117

DoorDash Engineering

MARCH 27, 2024

But setting up a different data traffic pipeline in a staging environment to mimic billions of real-time events is difficult and inefficient, while requiring ongoing maintenance to keep data up-to-date. But this also brings forth interesting challenges around isolating production and test traffic flowing through the same stack.

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ProjectPro

JANUARY 31, 2023

With the introduction of advanced machine learning algorithms , underwriters are bringing in more data for better risk management and providing premium pricing targeted to the customer. This explains why the insurance sector is acquiring an increasing amount of data.

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Insurance Machine Learning Project Algorithm 75

DataKitchen

MAY 10, 2021

Data errors impact decision-making. Data errors infringe on work-life balance. Data errors also affect careers. If you have been in the data profession for any length of time, you probably know what it means to face a mob of stakeholders who are angry about inaccurate or late analytics.

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Data Engineering Weekly

NOVEMBER 20, 2022

Data Engineering Weekly Is Brought to You by RudderStack RudderStack provides data pipelines that make it easy to collect data from every application, website, and SaaS platform, then activate it in your warehouse and business tools. link] The short YouTube video gives a nice overview of the Data Cards.

Data Engineering 52

Data Engineering Data Engineer Engineering Datasets 52

Cloudera

JUNE 17, 2022

In the second blog of the Universal Data Distribution blog series , we explored how Cloudera DataFlow for the Public Cloud (CDF-PC) can help you implement use cases like data lakehouse and data warehouse ingest, cybersecurity, and log optimization, as well as IoT and streaming data collection.

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Data Pipeline Building Kafka Java 94

Knowledge Hut

NOVEMBER 17, 2023

You can also set up uncomplicated load balancing and auto-scaling to handle demand increases. Data Analysis and Machine Learning One of the perks of using an Azure VM is its ability to carry a powerful GPU capable of high-performance computer processing. VMs you create may have different settings, such as OSes/software stacks.

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Machine Learning Cloud Computing NoSQL Cloud 52

Knowledge Hut

NOVEMBER 22, 2023

Data written to the container’s file system is lost when it shuts down. This may change how you approach application development if you want to use Docker on production servers. Dockerized web applications should avoid retaining state data in variables and local files. Kubernetes does that at the data center level.

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MongoDB Architecture AWS MySQL 52

Cloudera

APRIL 26, 2023

Data is core to decision making today and organizations often turn to the cloud to build modern data apps for faster access to valuable insights. Can you achieve similar outcomes with your on-premises data platform? These include data recovery service, quota management, node harvesting, optimizing TCO, and more.

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Cloud Building Utilities Architecture 65

Data Engineering Podcast

NOVEMBER 27, 2022

Summary The data ecosystem has been growing rapidly, with new communities joining and bringing their preferred programming languages to the mix. This has led to inefficiencies in how data is stored, accessed, and shared across process and system boundaries. Atlan is the metadata hub for your data ecosystem. Missing data?

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Data Process Process Metadata Business Intelligence 100

Netflix Tech

NOVEMBER 26, 2018

Scaling Push Messaging for Millions of Netflix Devices Susheel Aroskar , Senior Software Engineer Abstract: Netflix built Zuul Push, a massively scalable push messaging service that handles millions of always-on, persistent connections to proactively push time-sensitive data, like personalized movie recommendations, from the AWS Cloud to devices.

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AWS Software Engineer Software Engineering Entertainment 45

Netflix Tech

AUGUST 29, 2023

For Inter-Process Communication (IPC) between services, we needed the rich feature set that a mid-tier load balancer typically provides. These design principles led us to client-side load-balancing, and the 2012 Christmas Eve outage solidified this decision even further. We decided on a number of constraints for the migration.

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Cloud Architecture Java AWS 88

Knowledge Hut

NOVEMBER 2, 2023

There are several availability zones (AZs) present in regions across the world with data centers. An AZ is a location with multiple physical data centers. As an AWS customer, you will be setting up virtual machines and replicating data in different AZs. Here are a few business advantages of using AWS: 1.

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Amazon Web Services AWS IT Transportation 52

Data Engineering Weekly

FEBRUARY 12, 2023

Data Engineering Weekly Is Brought to You by RudderStack RudderStack provides data pipelines that make it easy to collect data from every application, website, and SaaS platform, then activate it in your warehouse and business tools. Time is almost always an axis in a data set. Sign up free to test out the tool today.

Data Engineering 52

Data Engineering Data Engineer Engineering Hadoop 52

AltexSoft

MAY 5, 2023

Machine Learning is a subset of AI involving the design of algorithms that enable computers to learn patterns within historical data and make predictions or decisions based on new information. These networks can assimilate intricate patterns and representations from vast amounts of data. Enhanced guest experience.

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Machine Learning Hospitality Algorithm Deep Learning 59