Databand.ai

AUGUST 30, 2023

Data testing tools are software applications designed to assist data engineers and other professionals in validating, analyzing, and maintaining data quality. Data profiling tools: Profiling plays a crucial role in understanding your dataset’s structure and content. In this article: Why Are Data Testing Tools Important?

Data Cleanse 52

Data Cleanse Data Validation Data Pipeline Datasets 52

FreshBI

SEPTEMBER 11, 2023

In this blog post, we will dig deeper into the transformative influence of automation in Power BI and explore a couple of Power Automate examples capable of reshaping your entire developmental journey. This proves particularly valuable when producing multiple reports with differing datasets but a standardized structure.

BI 59

BI Consulting Datasets Data Ingestion 59

Data Engineering Weekly

APRIL 7, 2024

We index only top-tier tables, promoting the use of these higher-quality datasets. The model is trained using a dataset of code-diagnostic pairs and fine-tuned to predict line diffs that correct LSP-identified errors, showing promising results against larger models and existing benchmarks.

Data Engineering 70

Data Engineering Data Engineer Engineering Unstructured Data 70

Databand.ai

AUGUST 30, 2023

Data testing tools: Key capabilities you should know Helen Soloveichik August 30, 2023 Data testing tools are software applications designed to assist data engineers and other professionals in validating, analyzing and maintaining data quality. In this article: Why are data testing tools important?

Data Cleanse 52

Data Cleanse Data Pipeline Datasets Data Validation 52

Databand.ai

AUGUST 30, 2023

This includes defining roles and responsibilities related to managing datasets and setting guidelines for metadata management. Data profiling: Regularly analyze dataset content to identify inconsistencies or errors. Automated profiling tools can quickly detect anomalies or patterns indicating potential dataset integrity issues.

Building 52

Building Data Cleanse Data Governance Datasets 52

Christophe Blefari

JANUARY 7, 2024

What 2023 brought: Followers — I doubled in followers on my 3 main platforms: I reached 4000 people on the blog, 8000 on LinkedIn and almost 600 on Twitter (even if I don't post that much there). The blog — 46 articles published in 2023, this is way less than in 2022 but it's ok. It's time.

Data 130

Data SQL Python Data Engineering 130

RandomTrees

JANUARY 22, 2024

Accelerating Drug Discovery Gen AI is changing the drug development process by using advanced algorithms to quickly and accurately identify potential drugs from large datasets. Large genomic datasets can be analyzed by GenAI algorithms, which can then be used to find genetic variations, correlations, and possible disease markers.

Medical 52

Medical Healthcare Datasets Electronics 52

Data Engineering Weekly

MARCH 3, 2024

This approach enables deeper insights into complex datasets that LLMs have not been trained on, demonstrating substantial improvements in data understanding and thematic discovery. link] Nvidia: What Is Sovereign AI? The article concludes with a look at data contracts as a concrete example of these principles in practice.

Data Engineering 67

Data Engineering Data Engineer Pipeline-centric Engineering 67

Pinterest Engineering

SEPTEMBER 20, 2023

These teams work together to ensure algorithmic fairness, inclusive design, and representation are an integral part of our platform and product experience. In this case, thousands of fashion Pins¹ publicly available on Pinterest are gathered to serve as the raw dataset. To explore and apply to open roles, visit our Careers page.

Building 84

Building Pipeline-centric Machine Learning Datasets 84

DoorDash Engineering

NOVEMBER 28, 2023

It is amusing for a human being to write an article about artificial intelligence in a time when AI systems, powered by machine learning (ML), are generating their own blog posts. Setting an initial ambitious goal to drive model development velocity, we soon assembled a team that included both design and engineering.

Machine Learning 90

Machine Learning Pipeline-centric Data Science Designing 90

Knowledge Hut

DECEMBER 28, 2023

Hadoop is a popular open-source framework that stores and processes large datasets in a distributed manner. It is designed to handle errors and issues efficiently, making it suitable for local computing and storage. Hadoop is widely used because it can store and analyze large datasets in a decentralized manner.

Hadoop 52

Hadoop Project Datasets Big Data 52

Christophe Blefari

DECEMBER 31, 2023

To finish the year Airflow team have released improvements to Datasets and a major step forward with the new Object Storage API that provides a generic abstraction over Cloud Storage to transfer data from one to another. Other reads The state of SQL-based observability , on ClickHouse blog. Fast News ⚡️ Airflow 2.8

Data 100

Data Cloud Storage Datasets Python 100

RandomTrees

FEBRUARY 2, 2024

It creates summaries of large datasets and identifies anomalies in data. It supports keyword search in any type of document, such as a web page, PDF, email, or any other format. Generate: Cohere creates product descriptions, blog entries, and marketing materials. Its technology is based on transformer architecture.

Data Engineering 52

Data Engineering Data Engineer Engineering Data Pipeline 52

Edureka

APRIL 24, 2024

Getting Trained on Data: To perform any task, first, the generative AI models need to be trained on massive datasets of existing content. This data can be retrieved from anything – books, blogs, pictures or images. Gen AI models can give biased results as they are trained on massive datasets.

Pharmaceutical 52

Pharmaceutical Manufacturing Datasets Algorithm 52

Workfall

SEPTEMBER 18, 2023

In this blog, we’re diving into the world of data integration with Airbyte, unraveling the mystery behind its simplicity, and uncovering how it seamlessly connects with Snowflake to transform your data into actionable insights. In this blog, we will cover: What is Airbyte?

Data Pipeline 93

Data Pipeline Raw Data Data Schemas Healthcare 93

Knowledge Hut

MARCH 26, 2024

In this blog post, I have shared 30 carefully curated prompts catering to various industries. By offering a diverse array of prompts, this blog post aims to provide valuable resources for professionals seeking to enhance their writing skills or generate fresh ideas within their respective industries. What is ChatGPT Prompt?

Media 52

Media Finance Medical Healthcare 52

Cloudera

AUGUST 26, 2021

Ozone natively provides Amazon S3 and Hadoop Filesystem compatible endpoints in addition to its own native object store API endpoint and is designed to work seamlessly with enterprise scale data warehousing, machine learning and streaming workloads. Learn more about the impacts of global data sharing in this blog, The Ethics of Data Exchange.

Data Science 107

Data Science Cloud Hadoop Metadata 107

Rockset

MARCH 9, 2023

In this blog post, we will explore three different ways to query the Ethereum blockchain. js is a JavaScript library that is specifically designed to make it easy to interact with Ethereum blockchain nodes. Anyone can ingest these datasets into a datastore for efficient querying via SQL.

Amazon Web Services 52

Amazon Web Services Datasets AWS Google Cloud 52

RandomTrees

DECEMBER 12, 2023

On the other hand, computer vision systems get designed to train machines to perform these tasks. It is possible for systems designed to inspect products or watch production assets to detect imperceptible defects or issues in thousands of products per minute. Afterward, the decoder produces an output representing a real dataset.

Datasets 52

Datasets Deep Learning Healthcare Algorithm 52

Databand.ai

JULY 5, 2023

Improved Collaboration Among Teams Data engineering teams frequently collaborate with other departments, such as analysts or scientists, who depend on accurate datasets for their tasks. Anomaly detection: Lets you automatically detect anomalies within datasets or pipelines based on historical patterns or predefined rules.

Data Pipeline 52

Data Pipeline Data Lake Data Warehouse Datasets 52

FreshBI

MAY 19, 2023

One of these is the fact that GPT-4 is trained on a large dataset that does not include your company's data. This presents a problem because we can't feasibly retrain or fine tune the model every time new data is added to a dataset. The solution lies in a design pattern called Retrieval-Augmented Generation (RAG).

BI 52

BI Datasets Consulting SQL 52

Databand.ai

MAY 30, 2023

Scope: Data quality primarily deals with dataset content, while data integrity is more concerned with the overall system architecture and processes that ensure consistency across different platforms or applications. Ensuring accuracy involves identifying and correcting errors in your dataset, such as incorrect entries or misrepresentations.

Data Cleanse 85

Data Cleanse Datasets Data Governance Data Validation 85

Knowledge Hut

NOVEMBER 28, 2023

Whether you are working on a personal project, learning the concepts, or working with datasets for your company, the primary focus is a data acquisition and data understanding. In this article, we will look at 31 different places to find free datasets for data science projects. What is a Data Science Dataset?

Datasets 96

Datasets Data Science Project Banking 96

FreshBI

JANUARY 16, 2024

As of the date of writing this blog, there’s no direct way to link the two. Stuffed: at $9022.50” Here the prompt directs ChatGPT to derive insights from the dataset provided. By adjusting the code, you can design the prompt for your needs. The changes in the Observations section change as you change the dataset instantly.

BI 52

BI Business Intelligence Datasets Coding 52

Cloudera

JUNE 26, 2023

Impala works best for analytical performance with properly designed datasets (well-partitioned, compacted). Le Service à Trois HBase + Phoenix + SOLr is a great combination for any analytical use case that goes against operational/transactional datasets. Monitoring: should I use WXM or Cloudera Manager?

ETL Tools 75

ETL Tools Programming Language Datasets Data Pipeline 75

Knowledge Hut

NOVEMBER 27, 2023

In fact, you reading this blog is also being recorded as an instance of data in some digital storage. Learn Data Analysis with Python Now that you know how to code in Python start picking toy datasets to perform analysis using Python. You can find a lot of useful blogs and other stuff to help you understand the various topics.

Data Science 97

Data Science Healthcare Machine Learning Telecommunication 97

Snowflake

APRIL 20, 2023

This gap between LLMs and the people that can use them, including non-technical colleagues, is one that Streamlit is designed to bridge. In as few as 25 lines of code, anyone can build an application that provides an interface for better guided prompting and interaction with LLMs, such as the GPT3 dataset generator.

Building 115

Building Unstructured Data Government Coding 115

Cloudera

MARCH 9, 2021

In this blog, we’ll highlight the key CDP aspects that provide data governance and lineage and show how they can be extended to incorporate metadata for non-CDP systems from across the enterprise. From a design viewpoint, a typedef is analogous to a class definition. Processes: File transfer process. ETL/DB Load process. ip_address.

Data Governance 93

Data Governance Government Metadata Datasets 93

Knowledge Hut

MARCH 19, 2024

In this blog, I will describe the role of a Machine Learning Software Engineer, their responsibilities, required skills, and the path to becoming one. Model Development: They are responsible for designing, building, implementing, and optimizing machine learning algorithms using regression, classification, clustering, and neural networks.

Software Engineer 52

Software Engineer Software Engineering Machine Learning Engineering 52

Lyft Engineering

NOVEMBER 29, 2023

In this particular blog post, we explain how Druid has been used at Lyft and what led us to adopt ClickHouse for our sub-second analytic system. Druid at Lyft Apache Druid is an in-memory, columnar, distributed, open-source data store designed for sub-second queries on real-time and historical data.

Kafka 104

Kafka Data Ingestion Datasets Architecture 104

Knowledge Hut

MARCH 26, 2024

On the other hand, AI, compared to human intelligence, is a product of human-designed algorithms, computational power, and data processing capabilities. In this blog post, I will give you a detailed comparative analysis of AI vs HI. What is AI? Pattern Recognition: Both can identify patterns in information.

Algorithm 52

Algorithm Deep Learning Education Datasets 52

Workfall

FEBRUARY 28, 2023

In this blog, we will cover: What Is ChatGPT? The model is trained on a massive text dataset before being fine-tuned for specific tasks such as: Translation of a language Summarization of text Debugging code Answering questions, and so on. It is designed to predict the next word in a sentence based on the preceding words.

Datasets 62

Datasets Coding Algorithm Technology 62

Edureka

APRIL 17, 2024

The algorithm is then designed as an easy-to-use generative AI tool to cater to our creative needs. They learn patterns and relationships from the dataset. These datasets are usually human-created content, so programmers can train generative tools to perform all the repetitive creative tasks. What Is Generative AI?

Healthcare 40

Healthcare Retail Media Entertainment 40

Knowledge Hut

JANUARY 24, 2024

This blog offers an exclusive glimpse into the daily rituals, challenges, and moments of triumph that punctuate the professional journey of a data scientist. The primary objective of a data scientist is to analyze complex datasets to uncover patterns, trends, and valuable information that can aid in informed decision-making.

Database-centric 52

Database-centric Data Science Machine Learning Datasets 52

Knowledge Hut

DECEMBER 26, 2023

A product manager links company strategy, design knowledge, and clients' needs to build an applicable, viable, and profitable product. Microsoft Excel Expertise Product managers must be able to examine large datasets. It entails more than just designing an app in the most effective way possible. Who is a Product Manager?

Management 52

Management Programming Datasets SQL 52

RandomTrees

JANUARY 29, 2024

Machine learning models rely heavily on large and diverse datasets to train and improve their ability to understand and interpret visual information. Variational Autoencoders (VAEs) Variational Autoencoders (VAEs) belong to the category of generative models designed to acquire the skills of encoding and decoding data.

Medical 52

Medical Retail Entertainment Datasets 52

RandomTrees

MARCH 27, 2024

This extraordinary innovation goes about as an imaginative force to be reckoned with, equipped for creating unique content like fine art, designs, and virtual environments. It functions as an inventive mind, drawing motivation from immense datasets to create imaginative results that push the limits of the human imagination.

IT 52

IT Medical Entertainment Healthcare 52