Snowflake

JANUARY 23, 2024

Behind the scenes, Snowpark ML parallelizes data processing operations by taking advantage of Snowflake’s scalable computing platform. This is a first-class, schema-level Snowflake object that provides a versioned container of ML model artifacts with full role-based access control (RBAC) support, and APIs for Python and SQL.

Machine Learning 120

Machine Learning Metadata Python Telecommunication 120

Knowledge Hut

MARCH 7, 2024

The year 2024 saw some enthralling changes in volume and variety of data across businesses worldwide. The surge in data generation is only going to continue. Foresighted enterprises are the ones who will be able to leverage this data for maximum profitability through data processing and handling techniques.

Big Data 98

Big Data Bytes Data Governance Raw Data 98

Cloudera

APRIL 1, 2024

We scored the highest in hybrid, intercloud, and multi-cloud capabilities because we are the only vendor in the market with a true hybrid data platform that can run on any cloud including private cloud to deliver a seamless, unified experience for all data, wherever it lies.

Cloud 104

Cloud Unstructured Data Metadata Datasets 104

Rockset

MARCH 18, 2024

That’s because successfully deploying an AI application requires retrieval augmented generation or “RAG” pipelines, processing real-time data streams, chunking data, generating embeddings, storing embeddings and running vector search. LLMs like ChatGPT are trained on vast amounts of text data available up to a cutoff date.

Cloud 64

Cloud Building Metadata Kafka 64

Striim

FEBRUARY 5, 2024

Data Fabric is a comprehensive data management approach that goes beyond traditional methods , offering a framework for seamless integration across diverse sources. By upholding data quality, organizations can trust the information they rely on for decision-making, fostering a data-driven culture built on dependable insights.

Pharmaceutical 52

Pharmaceutical Data Cleanse Metadata Medical 52

Data Engineering Podcast

AUGUST 28, 2022

Atlan is the metadata hub for your data ecosystem. Instead of locking your metadata into a new silo, unleash its transformative potential with Atlan’s active metadata capabilities. RudderStack helps you build a customer data platform on your warehouse or data lake.

Data Engineering 100

Data Engineering Data Engineer MongoDB Metadata 100

Towards Data Science

NOVEMBER 4, 2023

The data engineering landscape is constantly changing but major trends seem to remain the same. How to Become a Data Engineer As a data engineer, I am tasked to design efficient data processes almost every day. It was created by Spotify to manage massive data processing workloads.

Data Engineering 82

Data Engineering Data Engineer Engineering BI 82

Cloudera

DECEMBER 15, 2022

With CDP, customers can deploy storage, compute, and access, all with the freedom offered by the cloud, avoiding vendor lock-in and taking advantage of best-of-breed solutions. With in-place table migration, you can rapidly convert to Iceberg tables since there is no need to regenerate data files. Only metadata will be regenerated.

Cloud 78

Cloud Metadata Google Cloud Data Warehouse 78

RandomTrees

FEBRUARY 6, 2024

Serving: Delivering Data with Precision: The seamless process significantly enhances the user experience, allowing for intuitive data exploration and decision-making without requiring technical query language knowledge. The significance of GenAI 1.

Data Engineering 52

Data Engineering Data Engineer Engineering Data Lake 52

The Modern Data Company

APRIL 15, 2024

The Role of a Data Model Explained Think of a data model as the ultimate organizer in the vast library of your company’s data. Its job, from its position near the end of the data processing line, is similar to that of a librarian who: Answers queries from various departments looking for specific insights.

Government 52

Government Metadata Data Data Lake 52

Snowflake

NOVEMBER 1, 2023

And because the Notebook is natively integrated into Snowflake’s role-based access controls (RBAC), it’s easy to securely share and collaborate on your code and results without compromising on any enterprise data. Snowpark ML enables intuitive model development using these frameworks through familiar Python APIs.

Building 105

Building Python SQL Programming Language 105

Netflix Tech

DECEMBER 3, 2022

Obviously not all tools are made with the same use case in mind, so we are planning to add more code samples for other (than classical batch ETL) data processing purposes, e.g. Machine Learning model building and scoring. The main workflow definition file holds the logic of a single run, in this case one day-worth of data.

Data Pipeline 143

Data Pipeline Scala Metadata Food 143

LinkedIn Engineering

JULY 19, 2023

Open source data lakehouse deployments are built on the foundations of compute engines (like Apache Spark, Trino, Apache Flink), distributed storage (HDFS, cloud blob stores), and metadata catalogs / table formats (like Apache Iceberg, Delta, Hudi, Apache Hive Metastore). Tables are governed as per agreed upon company standards.

Big Data 78

Big Data Data Management Management Metadata 78

ProjectPro

FEBRUARY 8, 2023

AWS Glue is a widely-used serverless data integration service that uses automated extract, transform, and load ( ETL ) methods to prepare data for analysis. It offers a simple and efficient solution for data processing in organizations. Then, Glue writes the job's metadata into the embedded AWS Glue Data Catalog.

AWS 98

AWS Scala Metadata Data Lake 98

Databand.ai

AUGUST 30, 2023

Data Performance Testing Data performance testing is the process of evaluating the efficiency, effectiveness, and scalability of your data processing systems and infrastructure. To perform data performance testing, you should first establish performance benchmarks and targets for your data processing systems.

Data Cleanse 52

Data Cleanse Metadata High Quality Data Datasets 52

Cloudera

OCTOBER 7, 2021

Application Logic: Application logic refers to the type of data processing, and can be anything from analytical or operational systems to data pipelines that ingest data inputs, apply transformations based on some business logic and produce data outputs.

Architecture 124

Architecture Metadata Government Kafka 124

Cloudera

JULY 19, 2023

It is a replicated, highly-available service that is responsible for managing the metadata for all objects stored in Ozone. As Ozone scales to exabytes of data, it is important to ensure that Ozone Manager can perform at scale. The tool reads only the metadata for objects in a cluster with around 100 million keys.

Management 70

Management Metadata Datasets Architecture 70

Ascend.io

FEBRUARY 28, 2024

Engineers ensure the availability of clean, structured data, a necessity for AI systems to learn from patterns, make accurate predictions, and automate decision-making processes. Through the design and maintenance of efficient data pipelines , data engineers facilitate the seamless flow and accessibility of data for AI processing.

Data Engineering 52

Data Engineering Data Engineer Engineering Metadata 52

Data Engineering Podcast

JANUARY 30, 2022

Matt Harrison is a Python expert with a long history of working with data who now spends his time on consulting and training. You can observe your pipelines with built in metadata search and column level lineage. Bigeye let’s data teams measure, improve, and communicate the quality of your data to company stakeholders.

Data Engineering 100

Data Engineering Data Engineer Engineering Data Pipeline 100

Cloudera

MARCH 3, 2022

Data analytics and machine learning can become a business and a compliance risk if data security, governance, lineage, metadata management, and automation are not holistically applied across the entire data lifecycle and all environments.

Data Governance 98

Data Governance Government Metadata Medical 98

Cloudyard

APRIL 4, 2024

However, the volume of daily transaction data poses challenges in effectively segmenting customers and optimizing engagement. This blog post explores how Snowpark, a powerful tool for data processing within Snowflake, can be used to perform RFM segmentation and unlock actionable customer insights.

Retail 40

Retail Data Ingestion Metadata Datasets 40

Ascend.io

APRIL 19, 2023

The “modern data stack” has become increasingly prominent in recent years, promising a streamlined approach to data processing. This broader, “upstack-oriented” audience demanded more accessible, consumer-grade data products, which in turn led to the development of the modern data stack as we know it.

Metadata 52

Metadata Business Analyst Hadoop Software Engineer 52

AltexSoft

AUGUST 22, 2022

So, instead of replacing or rebuilding the existing infrastructure, you add a new, ML-powered abstraction layer on top of the underlying data sources, enabling various users to access and manage the information they need without duplication. Data fabric architecture example. Unified data access. Data and metadata.

Architecture 52

Architecture Metadata Data Lake Machine Learning 52

Monte Carlo

FEBRUARY 12, 2024

Monte Carlo has been the leader in data observability to improve the data reliability of structured and unstructured data processed by modern data platforms built around warehouses, lakes, and lakehouses. The category was introduced with five original pillars: Freshness : Did the data arrive when expected?

Database 72

Database Unstructured Data Data Pipeline Metadata 72

Cloudera

MARCH 23, 2022

Apache Iceberg is a high-performance, open table format, born-in-the cloud that scales to petabytes independent of the underlying storage layer and the access engine layer. By being a truly open table format, Apache Iceberg fits well within the vision of the Cloudera Data Platform (CDP). What is Apache Iceberg? 2: Open formats.

Metadata 90

Metadata Data Architecture BI Machine Learning 90

Cloudera

MARCH 2, 2023

Recently, we announced enhanced multi-function analytics support in Cloudera Data Platform (CDP) with Apache Iceberg. Iceberg is a high-performance open table format for huge analytic data sets.

Process 113

Process SQL Kafka Database 113

Databand.ai

JULY 19, 2023

This capability is particularly useful in complex data landscapes, where data may pass through multiple systems and transformations before reaching its final destination Impact analysis: When changes are made to data sources or data processing systems, it’s critical to understand the potential impact on downstream processes and reports.

Pipeline-centric 52

Pipeline-centric Data Governance Metadata Government 52

Monte Carlo

MAY 30, 2023

What makes Iceberg tables so appealing is they can store raw data at scale to support typical data lake use cases, but they also have data lakehouse-like properties as well such as well-organized metadata, ACID transactions, and critical features like time travel.

Metadata 52

Metadata Raw Data Data Lake Data 52

AltexSoft

JUNE 7, 2021

Hadoop and Spark are the two most popular platforms for Big Data processing. They both enable you to deal with huge collections of data no matter its format — from Excel tables to user feedback on websites to images and video files. Obviously, Big Data processing involves hundreds of computing units. scalability.

Big Data Tools 98

Big Data Tools Hadoop Big Data Database-centric 98

Monte Carlo

FEBRUARY 21, 2023

In this post, we’ll discuss what, exactly, a data fabric is, how other companies have used it, and how you can build one at your company. Table of Contents What is a data fabric? Reduced reliance on IT Integral to a data fabric is a set of pre-built models and algorithms that expedite data processing.

Data Architecture 52

Data Architecture Architecture Metadata Unstructured Data 52

Monte Carlo

FEBRUARY 21, 2023

In this post, we’ll discuss what, exactly, a data fabric is, how other companies have used it, and how you can build one at your company. Table of Contents What is a data fabric? Reduced reliance on IT Integral to a data fabric is a set of pre-built models and algorithms that expedite data processing.

Data Architecture 52

Data Architecture Architecture Metadata Unstructured Data 52

Monte Carlo

APRIL 24, 2023

Traditionally, after being stored in a data lake, raw data was then often moved to various destinations like a data warehouse for further processing, analysis, and consumption. Databricks Data Catalog and AWS Lake Formation are examples in this vein. AWS is one of the most popular data lake vendors.

Data Lake 52

Data Lake Google Cloud Data Warehouse AWS 52

Cloudera

AUGUST 26, 2021

Learn more about the impacts of global data sharing in this blog, The Ethics of Data Exchange. Before we jump into the data ingestion step, here is a quick overview of how Ozone manages its metadata namespace through volumes, buckets and keys. . Data ingestion through ‘s3’. Spark SQL to access Hive table.

Data Science 111

Data Science Cloud Hadoop Metadata 111

AltexSoft

NOVEMBER 10, 2021

At the same time, it brings structure to data and empowers data management features similar to those in data warehouses by implementing the metadata layer on top of the store. Key data warehouse limitations: Inefficiency and high costs of traditional data warehouses in terms of continuously growing data volumes.

Architecture 52

Architecture Data Lake Data Warehouse Metadata 52

AltexSoft

FEBRUARY 11, 2023

What’s more, investing in data products, as well as in AI and machine learning was clearly indicated as a priority. This suggests that today, there are many companies that face the need to make their data easily accessible, cleaned up, and regularly updated.

Data Architect 87

Data Architect Certification Generalist Big Data 87

Engineering at Meta

FEBRUARY 20, 2024

The purpose was to accelerate the data processing operations commonly found in our workloads in ways that were not possible using Arrow. The benefits of this layout are: Small strings of up to 12 bytes are fully inlined within the views buffer and can be read without dereferencing the data buffer.

Data Management 98

Data Management Bytes Management Datasets 98

Cloudera

JULY 17, 2023

Incidentally, this measure is in the opposite seat of the see-saw as the others: ungoverned data democratization is the single greatest cause of all the problems we’re trying to impact. Data Process Health Although we did not devote a blog to this health measure, we provided numerous instructions to repair problems you find.

Metadata 69

Metadata Government Data Governance Datasets 69