Marc Lamberti

SEPTEMBER 22, 2023

Let’s imagine you have the following data pipeline: In a nutshell, this data pipeline trains different machine learning models based on a dataset and the last task selects the model with the highest accuracy. To access XComs, go to the user interface, then Admin and XComs. Once we access the task instance object, we can call xcom_push.

MySQL 246

MySQL Data Pipeline Database Python 246

Knowledge Hut

MAY 29, 2024

The choice of datasets is crucial for creating impactful visualizations. The dataset selection depends on goals, context, and domain, with considerations for data quality, relevance, and ethics. In this article, we will discuss the best datasets for data visualization. Census Bureau The U.S.

Datasets 52

Datasets Transportation Entertainment Media 52

The Pragmatic Engineer

OCTOBER 17, 2024

The startup was able to start operations thanks to getting access to an EU grant called NGI Search grant. The historical dataset is over 20M records at the time of writing! As always, I have not been paid to write about this company and have no affiliation with it – see more in my ethics statement.

Cloud 278

Cloud AWS Metadata Cloud Computing 278

The Pragmatic Engineer

APRIL 6, 2023

Our hope is that making salary ranges more accessible on Comprehensive.io For AI,  we’ve built a system to efficiently use GPT-4 for this purpose, including auto-crafting prompts and performing pre and post-processing. Our system is using purely Serverless to process the data. ” How does Comprehensive.io

Software Engineer 194

Software Engineer Software Engineering Datasets Database 194

Towards Data Science

NOVEMBER 16, 2023

Data Management A tutorial on how to use VDK to perform batch data processing Photo by Mika Baumeister on Unsplash Versatile Data Ki t (VDK) is an open-source data ingestion and processing framework designed to simplify data management complexities. ELT (Extract, Load, Transform) is a typical use case for batch data processing.

Data Process 73

Data Process Process Raw Data Data 73

ProjectPro

FEBRUARY 16, 2023

At the core of such applications lies the science of machine learning, image processing, computer vision, and deep learning. As an example, consider the Facial Image Recognition System, it leverages the OpenCV Python library for implementing image processing techniques. What is OpenCV Python?

Python 98

Python Process Deep Learning Algorithm 98

Netflix Tech

NOVEMBER 12, 2024

However, this category requires near-immediate access to the current count at low latencies, all while keeping infrastructure costs to a minimum. The Counter Abstraction API resembles Java’s AtomicInteger interface: AddCount/AddAndGetCount : Adjusts the count for the specified counter by the given delta value within a dataset.

Datasets 101

Datasets Computer Science Systems Kafka 101

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. Then, based on this information from the sample, defect or abnormality the rate for whole dataset is considered.

Data Science 98

Data Science Datasets Machine Learning Database Design 98

Maxime Beauchemin

AUGUST 28, 2017

In modern large organizations, where hundred of people are involved in the data generation side of the analytical process, consensus seeking is challenging, when not outright impossible in a timely fashion. If you want to build trust in a way that supports decision-making, you need a minimum of consistency and alignment.

Data Engineering 174

Data Engineering Data Engineer Engineering Software Engineer 174

Marc Lamberti

NOVEMBER 23, 2022

DuckDB is an in-process OLAP DBMS written in C++ blah blah blah, too complicated. Local First, DuckDB is an in-process single-file database with no external dependencies. On the other hand, DuckDB is embedded in the host application process and manages a database stored in a single file. Let’s start simple, shall we?

Datasets 130

Datasets Python SQL Database 130

Christophe Blefari

APRIL 14, 2023

But as Robert says "No tool can fix people, behaviors, process, and the semantic layer, however conceptually elegant or impactful, is no exception" ( read here ). Mainly they define measures, dimensions and metrics in YAML that will be materialised and made accessible to Curie (their experimentation platform).

Datasets 130

Datasets Data Deep Learning SQL 130

Cloudera

SEPTEMBER 18, 2024

According to recent survey data from Cloudera, 88% of companies are already utilizing AI for the tasks of enhancing efficiency in IT processes, improving customer support with chatbots, and leveraging analytics for better decision-making.

Datasets 91

Datasets Retail Healthcare Finance 91

Cloudera

FEBRUARY 22, 2022

The data architecture layer is one such area where growing datasets have pushed the limits of scalability and performance. The data explosion has to be met with new solutions, that’s why we are excited to introduce the next generation table format for large scale analytic datasets within Cloudera Data Platform (CDP) – Apache Iceberg.

Metadata 114

Metadata Datasets BI SQL 114

ThoughtSpot

MARCH 5, 2024

These tables provide a centralized location to host both your raw data and transformed datasets optimized for AI-powered analytics with ThoughtSpot. The refresh process automatically computes changes in the source data and merges those updates into the dynamic table. Set refresh schedules as needed.

BI 111

BI Datasets Raw Data SQL 111

Cloudera

NOVEMBER 13, 2024

Several LLMs are publicly available through APIs from OpenAI , Anthropic , AWS , and others, which give developers instant access to industry-leading models that are capable of performing most generalized tasks. Fine Tuning Studio enables users to track the location of all datasets, models, and model adapters for training and evaluation.

Datasets 86

Datasets Machine Learning Coding Data Preparation 86

Data Engineering Podcast

MAY 26, 2024

When that system is responsible for the data layer the process becomes more challenging. Summary Any software system that survives long enough will require some form of migration or evolution. Sriram Panyam has been involved in several projects that required migration of large volumes of data in high traffic environments.

Systems 130

Systems Data Lake High Quality Data Google Cloud 130

Rockset

MARCH 1, 2023

The Challenge of Compute Contention At the heart of every real-time application you have this pattern that the data never stops coming in and requires continuous processing, and the queries never stop – whether they come from anomaly detectors that run 24x7 or end-user-facing analytics. So they are not suitable for real-time analytics.

Data Ingestion 144

Data Ingestion Database Architecture SQL 144

Engineering at Meta

FEBRUARY 20, 2024

Why we need a composable data management system Meta’s data engines support large-scale workloads that include processing large datasets offline (ETL), interactive dashboard generation, ad hoc data exploration, and stream processing. Our focus is to use open standards in these APIs as often as possible.

Data Management 112

Data Management Bytes Management Datasets 112

Cloudera

AUGUST 10, 2021

and later, Ozone is integrated with Atlas out of the box, and entities like Hive, Spark process, and NiFi flows, will result in Atlas creating Ozone path entities. For example, writing a Spark dataset to Ozone or launching a DDL query in Hive that points to a location in Ozone. About Ozone integration with Atlas. With CDP 7.1.4

Hadoop 106

Hadoop Kafka Datasets Government 106

Engineering at Meta

AUGUST 27, 2024

For example, we built Policy Zones that apply across our infrastructure to address restrictions on data, such as using it only for allowed purposes, providing strong guarantees for limiting the purposes of its processing. Commonly, purpose limitation can rely on “point checking” controls at the point of data processing.

Programming Language 122

Programming Language Coding Data Warehouse Systems 122

Cloudera

FEBRUARY 8, 2021

To accomplish this, ECC is leveraging the Cloudera Data Platform (CDP) to predict events and to have a top-down view of the car’s manufacturing process within its factories located across the globe. . Data Enrichment – data pipeline processing, aggregation and management to ready the data for further analysis.

Data Pipeline 122

Data Pipeline Building Manufacturing Data Warehouse 122

Data Engineering Weekly

AUGUST 6, 2024

CDC enables real-time data flows from operational systems to analytics platforms, ensuring decision-makers can access the most current data. A common solution is the outbox pattern, where changes are written to an outbox table and then asynchronously processed. Challenges: Highly resource-intensive and slow for large datasets.

Data Lake 126

Data Lake Data Warehouse Database Data Architecture 126

LinkedIn Engineering

APRIL 4, 2023

Here is a quick summary of our process. Happy - Developers at LinkedIn are happy with the tools, systems, processes, facilities, and activities involved in software development at LinkedIn. The team selected PySpark for the data processing and metrics computation as we were mostly a Python team.

MySQL 122

MySQL Datasets Software Engineer Software Engineering 122

Christophe Blefari

SEPTEMBER 28, 2023

We jumped from HDFS to Cloud Storage (S3, GCS) for storage and from Hadoop, Spark to Cloud warehouses (Redshift, BigQuery, Snowflake) for processing. We need to store, process and visualise data, everything else is just marketing. data is not easily accessible for humans or AI —We build data platforms in order to be used.

Big Data 147

Big Data Cloud Storage Hadoop SQL 147

Knowledge Hut

JULY 28, 2023

Machine learning offers scalability and efficiency, processing large datasets quickly. A dataset's anomalies may provide valuable information about inconsistencies, mistakes, fraud, or unusual events. By taking into account the statistical characteristics of the entire dataset, global outliers are frequently found.

Machine Learning 98

Machine Learning Algorithm Datasets Deep Learning 98

DataKitchen

APRIL 13, 2021

Process Analytics. DataOps needs a directed graph-based workflow that contains all the data access, integration, model and visualization steps in the data analytic production process. Reflow — A system for incremental data processing in the cloud. Process Analytics. Meta-Orchestration. Continuous Deployment.

Consulting 124

Consulting Machine Learning Data Science Data Pipeline 124

Knowledge Hut

MAY 3, 2024

A new breed of ‘Fast Data’ architectures has evolved to be stream-oriented, where data is processed as it arrives, providing businesses with a competitive advantage. The demand for stream processing is increasing every day in today’s era. Kafka streams provide true a-record-at-a-time processing capabilities.

Kafka 98

Kafka Scala Java Amazon Web Services 98

Snowflake

APRIL 24, 2024

Members of the Snowflake AI Research team pioneered systems such as ZeRO and DeepSpeed , PagedAttention / vLLM , and LLM360 which significantly reduced the cost of LLM training and inference, and open sourced them to make LLMs more accessible and cost-effective for the community. license provides ungated access to weights and code.

Amazon Web Services 145

Amazon Web Services SQL AWS Architecture 145

Cloudera

AUGUST 3, 2022

Fine grained access control (FGAC) with Spark. That’s why we are excited to introduce Spark Secure Access , a new security feature for Apache Spark in the Cloudera Data Platform (CDP), that adheres to all security policies without resorting to 3rd party tools. Introducing Spark Secure Access Mode. Starting with CDP 7.1.7

Datasets 95

Datasets BI Machine Learning Accessible 95

Christophe Blefari

NOVEMBER 11, 2022

A data warehouse is a piece of technology that acts on 3 ideas: the data modeling, the data storage and processing engine. When it comes to storage it's mainly a row-based vs. a column-based discussion, which in the end will impact how the engine will process data. The end-game dataset. And he does it well.

BI 130

BI Data Warehouse Data Database 130

Databand.ai

MAY 30, 2023

Data quality can be influenced by various factors, such as data collection methods, data entry processes, data storage, and data integration. With access to accurate and dependable data, business leaders can make informed decisions that promote growth and profitability.

Data Cleanse 85

Data Cleanse Datasets Data Governance Data Validation 85

Cloudera

FEBRUARY 1, 2022

If you are a Cloudera customer and have access to CML or Cloudera Data Science Workbench (CDSW), you can start out by deploying the Deep Learning for Image Analysis AMP from the “AMPs” tab. . If you do not have access to CDSW or CML, the AMP github repo has a README with instructions for getting up and running in any environment.

Deep Learning 116

Deep Learning Datasets Coding Machine Learning 116

Netflix Tech

OCTOBER 8, 2024

Rajiv Shringi Vinay Chella Kaidan Fullerton Oleksii Tkachuk Joey Lynch Introduction As Netflix continues to expand and diversify into various sectors like Video on Demand and Gaming , the ability to ingest and store vast amounts of temporal data — often reaching petabytes — with millisecond access latency has become increasingly vital.

Bytes 96

Bytes Datasets Metadata Data 96

Cloudera

DECEMBER 14, 2021

They created a system to spread data across several servers with GPU-based processing so large datasets could be managed more effectively across the board. . This process cut down fraudulent activity and increased savings, creating a win-win solution for the government and the taxpayers whose resources are now better protected.

Transportation 117

Transportation Telecommunication Banking Data Lake 117

Cloudera

NOVEMBER 13, 2020

Apache Impala is synonymous with high-performance processing of extremely large datasets, but what if our data isn’t huge? So clearly Impala is used extensively with datasets both small and large. This is part of our series of blog posts on recent enhancements to Impala. The entire collection is available here. Metadata Caching.

Metadata 144

Metadata Coding SQL Database 144

Knowledge Hut

JANUARY 24, 2024

While the data volume is small, it operates more quickly and effectively but becomes sluggish when processing mass data. Data Sources Tableau Software can access many data sources and servers. Users can access a range of resources for issue resolution and guidance.

BI 98

BI Business Intelligence Non-relational Database Data Analysis 98

Precisely

JULY 12, 2024

Unique: Unique datasets are free of redundant or extraneous entries. Consistent: Data is consistently represented in a standard way throughout the dataset. Data governance: Manage data policy and processes with greater insight into your data’s meaning, lineage, and impact. Quality data must meet all these criteria.

Data Integration 105

Data Integration Datasets Data Data Governance 105