Precisely

MAY 13, 2024

Whether you’re bringing a new system online or connecting an existing database with your analytics platform, the process should be simple and straightforward. Integrated data catalog for metadata support As you build out your IT ecosystem, it’s important to leverage tools that have the capabilities to support forward-looking use cases.

Data Integration 52

Data Integration Metadata Amazon Web Services Data Governance 52

Rockset

APRIL 18, 2023

We’re excited to introduce vector search on Rockset to power fast and efficient search experiences, personalization engines, fraud detection systems and more. Organizations have continued to accumulate large quantities of unstructured data, ranging from text documents to multimedia content to machine and sensor data.

Unstructured Data 105

Unstructured Data Metadata Machine Learning SQL 105

Data Engineering Podcast

JUNE 12, 2022

Atlan is the metadata hub for your data ecosystem. Instead of locking all of that information into a new silo, unleash its transformative potential with Atlan’s active metadata capabilities. Go to dataengineeringpodcast.com/atlan today to learn more about how you can take advantage of active metadata and escape the chaos.

Metadata 100

Metadata Unstructured Data Business Intelligence MongoDB 100

The Modern Data Company

JANUARY 22, 2024

The Modern Story: Navigating Complexity and Rethinking Data in The Business Landscape Enterprises face a data landscape marked by the proliferation of IoT-generated data, an influx of unstructured data, and a pervasive need for comprehensive data analytics.

Data Integration 98

Data Integration Metadata Government Unstructured Data 98

Data Engineering Podcast

JULY 31, 2022

Summary Data lineage is the roadmap for your data platform, providing visibility into all of the dependencies for any report, machine learning model, or data warehouse table that you are working with. Atlan is the metadata hub for your data ecosystem. Data lineage and metadata systems are a hot topic right now.

IT 100

IT Metadata MongoDB MySQL 100

Monte Carlo

JANUARY 5, 2024

This architecture format consists of several key layers that are essential to helping an organization run fast analytics on structured and unstructured data. Table of Contents What is data lakehouse architecture? The 5 key layers of data lakehouse architecture 1. Metadata layer 4. Ingestion layer 2. API layer 5.

Architecture 52

Architecture Data Lake Metadata Unstructured Data 52

Monte Carlo

JANUARY 5, 2024

This architecture format consists of several key layers that are essential to helping an organization run fast analytics on structured and unstructured data. Table of Contents What is data lakehouse architecture? The 5 key layers of data lakehouse architecture 1. Metadata layer 4. Ingestion layer 2. API layer 5.

Architecture 52

Architecture Data Lake Metadata Unstructured Data 52

Monte Carlo

MAY 14, 2024

Depending on the quantity of data flowing through an organization’s pipeline — or the format the data typically takes — the right modern table format can help to make workflows more efficient, increase access, extend functionality, and even offer new opportunities to activate your unstructured data.

Data Lake 52

Data Lake Metadata Hadoop Data Governance 52

The Modern Data Company

JANUARY 22, 2024

The Modern Story: Navigating Complexity and Rethinking Data in The Business Landscape Enterprises face a data landscape marked by the proliferation of IoT-generated data, an influx of unstructured data, and a pervasive need for comprehensive data analytics.

Data Integration 87

Data Integration Metadata Government Unstructured Data 87

Snowflake

NOVEMBER 29, 2023

For example, the data storage systems and processing pipelines that capture information from genomic sequencing instruments are very different from those that capture the clinical characteristics of a patient from a site. Alation, Collibra) to some niche ones Allows easy ingestion of metadata (such as genomics metadata in Fig.

Metadata 84

Metadata Healthcare Medical Data Storage 84

Data Engineering Podcast

NOVEMBER 27, 2022

This has led to inefficiencies in how data is stored, accessed, and shared across process and system boundaries. The Arrow project is designed to eliminate wasted effort in translating between languages, and Voltron Data was created to help grow and support its technology and community. Missing data? Stale dashboards?

Data Process 100

Data Process Process Metadata Business Intelligence 100

Snowflake

NOVEMBER 2, 2023

To give customers flexibility for how they fit Snowflake into their architecture, Iceberg Tables can be configured to use either Snowflake or an external service like AWS Glue as the tables’s catalog to track metadata, with an easy one-line SQL command to convert to Snowflake in a metadata-only operation.

Data Lake 91

Data Lake Data Warehouse Cloud Unstructured Data 91

Towards Data Science

APRIL 6, 2023

Alternatively, end-to-end tests, which assess a full system, stretching across repos and services, get overwhelmed by the cross-team complexity of dynamic data pipelines. Unit tests and end-to-end testing are necessary but insufficient to ensure high data quality in organizations with complex data needs and complex tables.

Unstructured Data 79

Unstructured Data Metadata Data Coding 79

AltexSoft

JULY 27, 2021

You’ll learn about the types of recommender systems, their differences, strengths, weaknesses, and real-life examples. Personalization and recommender systems in a nutshell. Primarily developed to help users deal with a large range of choices they encounter, recommender systems come into play. Amazon, Booking.com) and.

Machine Learning 76

Machine Learning Systems Algorithm Deep Learning 76

Cloudera

JUNE 7, 2022

In the past decade, the amount of structured data created, captured, copied, and consumed globally has grown from less than 1 ZB in 2011 to nearly 14 ZB in 2020. Impressive, but dwarfed by the amount of unstructured data, cloud data, and machine data – another 50 ZB.

IT 110

IT Unstructured Data Data Architecture Government 110

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? As your team builds your data fabric, make sure you have a designated way to collect the various metadata associated with your data inputs.

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? As your team builds your data fabric, make sure you have a designated way to collect the various metadata associated with your data inputs.

Data Architecture 52

Data Architecture Architecture Metadata Unstructured Data 52

Knowledge Hut

DECEMBER 21, 2023

In the present-day world, almost all industries are generating humongous amounts of data, which are highly crucial for the future decisions that an organization has to make. This massive amount of data is referred to as “big data,” which comprises large amounts of data, including structured and unstructured data that has to be processed.

Hadoop 52

Hadoop Big Data NoSQL Unstructured Data 52

Monte Carlo

JANUARY 23, 2024

Gen AI can whip up serviceable code in moments — making it much faster to build and test data pipelines. Today’s LLMs can already process enormous amounts of unstructured data, automating much of the monotonous work of data science. But what does that mean for the roles of data engineers and data scientists going forward?

Pipeline-centric 52

Pipeline-centric Database-centric Metadata Unstructured Data 52

ProjectPro

FEBRUARY 8, 2023

When Glue receives a trigger, it collects the data, transforms it using code that Glue generates automatically, and then loads it into Amazon S3 or Amazon Redshift. Then, Glue writes the job's metadata into the embedded AWS Glue Data Catalog. being data exactly matches the classifier, and 0.0 Why Use AWS Glue?

AWS 98

AWS Scala Metadata Data Lake 98

Databand.ai

JULY 19, 2023

Data Lineage Tools: Key Capabilities and 5 Notable Solutions Ryan Yackel July 19, 2023 What Are Data Lineage Tools? Data lineage tools provide a visual representation of your data’s journey across multiple systems and transformations. It provides context for data, making it easier to understand and manage.

Pipeline-centric 52

Pipeline-centric Data Governance Metadata Government 52

phData: Data Engineering

SEPTEMBER 19, 2023

With the amount of data companies are using growing to unprecedented levels, organizations are grappling with the challenge of efficiently managing and deriving insights from these vast volumes of structured and unstructured data. What is a Data Lake? Want to learn more about data governance?

Data Lake 52

Data Lake Process Metadata Data Warehouse 52

Towards Data Science

FEBRUARY 9, 2024

Data Store Another significant change from 2021 to 2024 lies in the shift from “Data Warehouse” to “Data Store,” acknowledging the expanding database horizon, including the rise of Data Lakes. Their robust core offering seamlessly integrates data warehouses with data-hungry applications.

Building 79

Building Transportation Data Lake Metadata 79

Precisely

FEBRUARY 9, 2024

Increase in data trust: Data that doesn’t meet rigorous quality metrics, or that isn’t governed with a robust framework, puts AI systems at risk of generating inaccurate predictions, recommendations, and output. These more complete datasets will both reduce bias and increase accuracy.

Data Integration 67

Data Integration Government Metadata Data 67

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

Rockset

AUGUST 28, 2023

Index your JSON data, vector embedding, geospatial data and time-series data in the same database in real-time. Query across your ANN indexes on vector embeddings, and your JSON and geospatial “metadata” fields efficiently. If you know SQL, you already know how to use Rockset. We obsess about efficiency in the cloud.

Metadata 78

Metadata Unstructured Data SQL Database 78

AltexSoft

AUGUST 29, 2023

Instead of relying on traditional hierarchical structures and predefined schemas, as in the case of data warehouses, a data lake utilizes a flat architecture. This structure is made efficient by data engineering practices that include object storage. Watch our video explaining how data engineering works.

Data Lake 52

Data Lake Architecture IT Amazon Web Services 52

Knowledge Hut

MAY 9, 2024

In this blog post, we will look at some of the world's highest paying data science jobs, what they entail, and what skills and experience you need to land them. What is Data Science? Data science also blends expertise from various application domains, such as natural sciences, information technology, and medicine.

Data Science 52

Data Science Data Mining Data Architect Programming Language 52

Data Engineering Podcast

SEPTEMBER 14, 2020

On top of this foundation, the Hazelcast team has also built a streaming platform for reliable high throughput data transmission. In this episode Dale Kim shares how Hazelcast is implemented, the use cases that it enables, and how it complements on-disk data management systems. How is the Jet streaming framework architected?

Process 100

Process Unstructured Data Metadata Data Engineering 100

AltexSoft

AUGUST 22, 2022

A data fabric is an architecture design presented as an integration and orchestration layer built on top of multiple disjointed data sources like relational databases , data warehouses , data lakes, data marts , IoT , legacy systems, etc., to provide a unified view of all enterprise data.

Architecture 52

Architecture Metadata Data Lake Machine Learning 52

Cloudera

NOVEMBER 17, 2022

While Cloudera CDH was already a success story at HBL, in 2022, HBL identified the need to move its customer data centre environment from Cloudera’s CDH to Cloudera Data Platform (CDP) Private Cloud to accommodate growing volumes of data. Smooth, hassle-free deployment in just six weeks.

Banking 84

Banking Management Data Lake Professional Services 84

Monte Carlo

JUNE 26, 2023

Why the Lakehouse Needs Data Observability Data lakes create a ton of unique challenges for data quality. Data lakes often contain larger datasets than what you’d find in a warehouse, including massive amounts of unstructured data that wouldn’t be possible in a warehouse environment.

Data Lake 52

Data Lake Metadata Bytes Google Cloud 52

Monte Carlo

NOVEMBER 6, 2023

Informatica Image credit: Informatica Informatica’s Data Catalog boasts of AI-powered data discovery, ensuring that users can quickly find and understand their data. It offers a 360-degree view of your data, including data lineage, relationships, and rich metadata.

Metadata 40

Metadata Unstructured Data Government Data Governance 40

AltexSoft

SEPTEMBER 23, 2021

The larger the company, the more data it has to generate actionable insights. Because it is scattered across disparate systems, hardly available for analytical apps. Evidently, common storage solutions fail to provide a unified data view and meet the needs of companies for seamless data flow. Data lake vs data hub.

Architecture 52

Architecture Data Lake Unstructured Data Data Warehouse 52

Monte Carlo

FEBRUARY 7, 2024

Teams can also use GenAI to anonymize data, improving privacy and security. What GenAI will do (probably) Few data leaders doubt that GenAI has a big role to play in data engineering — and most agree GenAI has enormous potential to make teams more efficient. How to avoid being replaced by a robot There’s one big caveat here.

Data Engineering 59

Data Engineering Data Engineer Engineering Unstructured Data 59

AltexSoft

JUNE 26, 2023

It includes manual data entries, online surveys, extracting information from documents and databases, capturing signals from sensors, and more. Data integration , on the other hand, happens later in the data management flow. For this task, you need a dedicated specialist — a data engineer or ETL developer.

Data Collection 52

Data Collection Machine Learning Unstructured Data Non-relational Database 52

Snowflake

JANUARY 26, 2023

requires multiple categories of data, from time series and transactional data to structured and unstructured data. It also relies on the integration of information technology (IT) and operational technology (OT) systems to support functions across the organization. By leveraging I4.0 Industry 4.0

Data Ingestion 52

Data Ingestion Manufacturing Unstructured Data Architecture 52