Knowledge Hut

JANUARY 31, 2024

To know more about ITIL standards, CMBD, and ITIL learning paths, read the blog. The service value chain is a system of six interacting components: Plan Improve Engage Design and Transition Obtain/Build Deliver and Support. It sees a business as a system of multiple sets of related components and activities that enable value creation.

Process 52

Process Certification Telecommunication Database 52

DareData

JULY 5, 2023

Learn how we build data lake infrastructures and help organizations all around the world achieving their data goals. In today's data-driven world, organizations are faced with the challenge of managing and processing large volumes of data efficiently.

Data Lake 52

Data Lake Building Raw Data ETL Tools 52

Cloudera

JULY 18, 2022

In part 1 of this blog we discussed how Cloudera DataFlow for the Public Cloud (CDF-PC), the universal data distribution service powered by Apache NiFi, can make it easy to acquire data from wherever it originates and move it efficiently to make it available to other applications in a streaming fashion. Data decays! Use case recap.

Process 86

Process Kafka Scala SQL 86

Databand.ai

AUGUST 30, 2023

Building a Winning Data Quality Strategy: Step by Step Eitan Chazbani August 30, 2023 What Is a Data Quality Strategy? A data quality strategy details the processes, tools, and techniques employed to ensure your company’s data is accurate, consistent, complete, and up-to-date.

Building 52

Building Data Cleanse Data Governance Datasets 52

Knowledge Hut

JANUARY 30, 2024

This blog is an account of the conversation which will serve ITIL aspirants well. So, this framework provides uniform and consistent guidelines to all IT industries to define their IT Service Management processes. This version was focused on making ITIL more accessible and arranged the 30-volume framework into nine related categories.

Process 52

Process Certification Telecommunication Government 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. Building real-time streaming analytics data pipelines requires the ability to process data in the stream.

Process 81

Process Kafka SQL Machine Learning 81

FreshBI

MAY 25, 2021

Business Processing Dashboards Explained A Business Workflow is visual representation of steps through a business activity used to support and validate your Business Intelligence Objectives. Overall Business Efficiency: Business Processing Dashboards are the epitome of heightened business efficiency.

Process 52

Process Business Intelligence BI Professional Services 52

Data Engineering Podcast

DECEMBER 7, 2020

Summary Building data products are complicated by the fact that there are so many different stakeholders with competing goals and priorities. When you’re ready to build your next pipeline, or want to test out the projects you hear about on the show, you’ll need somewhere to deploy it, so check out our friends at Linode.

Building 100

Building Big Data Consulting Data Engineering 100

Cloudera

JULY 9, 2021

While certainly not a new concept, Government missions are wholly dependent on real time access/analysis of data (wherever it may be (legacy data centers or public cloud) to render insight to support operational decisions. Will it support role-based access? Have a clear understanding of data attributes: How often do you use your data?

Government 110

Government Building Cloud Data Ingestion 110

Knowledge Hut

JULY 28, 2023

Data Labeling is the process of assigning meaningful tags or annotations to raw data, typically in the form of text, images, audio, or video. If some terminologies in the blog around Machine Learning seems unfamiliar to you, don’t worry we have the Best Data Science courses to help you out. How Does Data Labeling Work?

Machine Learning 52

Machine Learning Process Datasets Raw Data 52

Monte Carlo

JUNE 22, 2023

They combined these principles with FAIR , a popular framework in the world of pharma that stands for findability, accessibility, interoperability, and reusability. Building the platform as composable architecture Their next step was to build the product…that would be used to build data products.

Building 52

Building Data Ingestion Data Business Analyst 52

Data Engineering Podcast

APRIL 19, 2020

Summary Modern applications frequently require access to real-time data, but building and maintaining the systems that make that possible is a complex and time consuming endeavor. This was an interesting inside look at building a business on top of open source stream processing frameworks and how to reduce the burden on end users.

Building 100

Building PostgreSQL MongoDB SQL 100

Cloudera

MAY 10, 2024

Building an open data lakehouse with Iceberg delivers significant benefits increasing self-service access, ease of use, flexibility, and delivering unified security and governance for all data. It accelerates the entire data lifecycle from streaming and ingestion to processing, analytics, and AI.

Government 99

Government Data Governance Data Pipeline Big Data 99

Zalando Engineering

JUNE 30, 2020

Our Engineering Blog was launched in June 2020 after a long break of the previous tech blog. What customizations we applied to design the blog and the publishing process. Static Site Generator Our previous tech blog used a CMS which only a limited number of people had access to. It's actively developed.

Engineering 40

Engineering Bytes AWS Python 40

Striim

NOVEMBER 17, 2023

Real-time data processing in the world of machine learning allows data scientists and engineers to focus on model development and monitoring. Striim Instance: To get started, you need to have a Striim instance created and have access to it. In this blog, we will focus on a PostgreSQL database.

Machine Learning 52

Machine Learning Data Process PostgreSQL Process 52

Data Engineering Weekly

APRIL 21, 2023

Ananth and Aswin discussed a blog from BuzzFeed that shares lessons learned from building products powered by generative AI. The blog highlights how generative AI can be integrated into a company's work culture and workflow to enhance creativity rather than replace jobs.

Building 52

Building Data Architect Education Data Engineering 52

AltexSoft

AUGUST 25, 2021

And this technology of Natural Language Processing is available to all businesses. Available methods for text processing and which one to choose. Tools you can use to build NLP models. What is Natural Language Processing? Here are some big text processing types and how they can be applied in real life.

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Process Deep Learning Datasets Machine Learning 139

Knowledge Hut

JUNE 20, 2023

However, to succeed in e-commerce, businesses require certain skills and tools to build and run an effective online storefront. Hence, it is recommended that you build your career with professional courses that help you acquire the necessary skills to thrive in the world of e-commerce.

Building 52

Building Media Data Analysis Certification 52

Tweag

JUNE 7, 2023

The availability of deep learning frameworks like PyTorch or JAX has revolutionized array processing, regardless of whether one is working on machine learning tasks or other numerical algorithms. However, writing high-performance array processing code in Haskell is still a non-trivial endeavor. We use the operator !

Process 89

Process Coding Python Deep Learning 89

Cloudera

JANUARY 20, 2021

For more context, this demo is based on concepts discussed in this blog post How to deploy ML models to production. With this example as inspiration, I decided to build off of sensor data and serve results from a model in real-time. As a result, I decided to use an open-source Occupancy Detection Data Set to build this application.

Machine Learning 112

Machine Learning Database Data Science Building 112

Snowflake

APRIL 29, 2024

DORA: Building a More Secure Financial System DORA, enacted in January 2023, moves beyond reactive measures, requiring FEs and their service providers to proactively identify vulnerabilities, prevent disruptions and plan for swift recovery from incidents. Five Core Pillars of DORA 1.

Transportation 83

Transportation Data Governance Government Consulting 83

Snowflake

MAY 2, 2024

We have more than 540 providers, offering over 2,400 live, ready-to-use data products (as of Jan 31, 2024), so there are many options to help you enrich your own data resources, build new data apps and leverage the power of AI on Snowflake. Q: What’s the process for listing a data product on Snowflake Marketplace?

Electronics 86

Electronics Media Accessible Accessibility 86

Cloudera

SEPTEMBER 11, 2018

The open data processing pipeline. To take advantage of all the disparate types of data, Red Hat, Eurotech and Cloudera have built an open and scalable data processing pipeline as part of an end-to-end IoT architecture. The IoT integration hub. The Enterprise Data Hub. Pushing actionable predictions to the edge.

Data Process 40

Data Process Process Building Machine Learning 40

Monte Carlo

AUGUST 15, 2022

No matter how you cut it, you don’t have an instruction manual, and given how fast the data landscape is evolving, it’s hard to find (let alone follow) best practices for building a data team from scratch. At the end of the day, our job is to make data as accessible and easy-to-understand as possible. And much more.

Building 52

Building Business Intelligence Finance Database 52

Cloudera

APRIL 23, 2024

The Hackathon was intended to provide data science experts with access to Cloudera machine learning to develop their own Accelerated Machine Learning Project (AMP) focused on solving one of the many environmental challenges facing the world today. The judging process took place over two phases from October 2023 to March 2024.

Machine Learning 86

Machine Learning Data Science Retail Consulting 86

Pinterest Engineering

FEBRUARY 22, 2024

In this blog post, we share our journey of unlocking AI-assisted development, from the initial idea to the General Availability (GA) stage. The first decision we had to make was build versus buy. To learn more about engineering at Pinterest, check out the rest of our Engineering Blog and visit our Pinterest Labs site.

Scala 78

Scala Engineering Software Engineer Software Engineering 78

Knowledge Hut

FEBRUARY 29, 2024

Learning Data Analysis in Excel Data analysis is a process of inspecting, cleaning, transforming and modelling data with an objective of uncover the useful knowledge, results and supporting decision. This process of inferring the information from sample data is known as ‘inferential statistics.’

Data Science 98

Data Science Datasets Database Design Machine Learning 98

Snowflake

FEBRUARY 21, 2024

Customers are simplifying their architectures by using Hybrid Tables for a variety of use cases, including storing app and workflow state, serving data and building lightweight transactional applications. Indexes provide fast lookups for common access paths. Row locking facilitates high-concurrency random writes. What’s next?

Government 99

Government AWS Data Architect Architecture 99

Data Engineering Weekly

DECEMBER 3, 2023

Github writes an excellent blog to capture the current state of the LLM integration architecture. link] Netflix: Incremental Processing using Netflix Maestro and Apache Iceberg Netflix writes about its incremental processing design with its orchestration engine Maestro on top of Iceberg.

Data Engineering 70

Data Engineering Data Engineer Engineering Bytes 70

Cloudera

MARCH 22, 2024

On top of that, this solid base is crucial for effectively harnessing the power of enterprise AI and generative AI, enabling your organization to build and scale advanced AI apps with confidence. This process will be managed by our teams, ensuring that our customers continue operating smoothly without the need to rebuild their infrastructure.

Cloud 111

Cloud Certification Systems Architecture 111

Data Engineering Weekly

APRIL 14, 2024

With the 1-bit LLM model, the researchers are suggesting instead of FP16 (Full Precision floating-point number with 5-bits) or FP32 (Full Precision floating-point number with 6-bits), you can build an equally efficient model using ternary digit set ∈ {-1, 0, 1}. It's a good read that familiarizes you with the LakeHouse formats.

Data Engineering 62

Data Engineering Data Engineer Engineering Business Intelligence 62

Knowledge Hut

APRIL 26, 2024

Many datasets are available online for learners who are starting off on building machine learning models. Data science and its associated fields use algorithms, processes, and other modern tools and techniques to draw insights from vast amounts of structured and unstructured data. Alternatively, we also can make our own datasets.

Datasets 98

Datasets Machine Learning Deep Learning Finance 98

Snowflake

APRIL 9, 2024

However, that data must be ingested into our Snowflake instance before it can be used to measure engagement or help SDR managers coach their reps — and the existing ingestion process had some pain points when it came to data transformation and API calls. Now, the Snowflake teams have a direct view into their Outreach data.

BI 74

BI Data Ingestion Data Aggregated Data 74

Scott Logic

APRIL 22, 2024

Large-model AI is becoming more and more influential in the market, and with the well-known tech giants starting to introduce easy-access AI stacks, a lot of businesses are left feeling that although there may be a use for AI in their business, they’re unable to see what use cases it might help them with. Generative BI?

BI 97

BI Software Engineer Software Engineering Algorithm 97

Snowflake

MAY 9, 2024

From its start with efficient batch processing with data warehouses for descriptive analytics, and the inclusion of streaming data in real time to build recommendations, we find ourselves at the forefront of a new stage of evolution: generative AI (gen AI). This blog highlights three key gen AI trends the two AI leaders see emerging.

Unstructured Data 92

Unstructured Data Manufacturing Retail Data Warehouse 92

Workfall

JULY 25, 2023

In this blog, we’ll demonstrate step-by-step the process of reading and writing data in Google Sheets, empowering you to effortlessly manage your data with the power of Python. In this blog, we will cover: What Is Sheety API? Under your Google Account Security settings, you should see that Sheety has access.

Python 76

Python Programming Language Coding Accessible 76

Workfall

MARCH 7, 2023

Form handling is the validation of data, collected from a user using an online form, that is intended to be sent to the server for the purpose of accessing a resource, deleting a resource, modifying an existing resource, or creating a new resource on the server. For this blog, we shall focus on form handling.

PostgreSQL 79

PostgreSQL Database AWS Data Collection 79