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

Databand.ai

JULY 19, 2023

By visually mapping the data flow, businesses can quickly identify issues, assess the impact of changes, and ensure data quality and accuracy. This allows businesses to trace the lineage of data across multiple systems, providing a comprehensive view of their data landscape.

Pipeline-centric 52

Pipeline-centric Data Governance Metadata Government 52

Snowflake

APRIL 5, 2023

With Snowflake’s support for multiple data models such as dimensional data modeling and Data Vault, as well as support for a variety of data types including semi-structured and unstructured data, organizations can accommodate a variety of sources to support their different business use cases.

Data Warehouse 52

Data Warehouse Healthcare Unstructured Data Metadata 52

AltexSoft

FEBRUARY 11, 2023

In the article, we explore the role of a data architect, discuss the responsibilities and required skills, and share what kind of companies may need such a specialist. What is a data architect? To get a better understanding of a data architect’s role, let’s clear up what data architecture is.

Data Architect 87

Data Architect Certification Generalist Big Data 87

Knowledge Hut

SEPTEMBER 29, 2023

The Azure Data Engineer Certification test evaluates one's capacity for organizing and putting into practice data processing, security, and storage, as well as their capacity for keeping track of and maximizing data processing and storage. Then, you can create analytical layer serving designs.

Certification 52

Certification Data Engineering Data Engineer Engineering 52

Monte Carlo

FEBRUARY 7, 2024

Teams can also use GenAI to anonymize data, improving privacy and security. AI lacks business understanding Understanding the business problems and use cases of data is at the heart of data engineering. Now, it’s going to be about leveling up to building the actual implementation of the unstructured data.”

Data Engineering 59

Data Engineering Data Engineer Engineering Unstructured Data 59

Monte Carlo

JUNE 28, 2022

Traditionally, data lakes held raw data in its native format and were known for their flexibility, speed, and open source ecosystem. By design, data was less structured with limited metadata and no ACID properties. Unity Catalog The Unity Catalog unifies metastores, catalogs, and metadata within Databricks.

Data Lake 52

Data Lake Metadata AWS Data Warehouse 52

Data Engineering Weekly

OCTOBER 23, 2022

I'm one of the early advocates for Data Catalogs and am excited about the possibility of Data Catalogs. The Data Engineering Weekly even published a special Metadata Edition focusing on the historical development of the Data Catalog. Does Data Catalogs live up to the promise?

Data Engineering 52

Data Engineering Data Engineer Engineering Deep Learning 52

ProjectPro

JANUARY 24, 2023

Azure Data Factory is a cloud-based data integration tool that lets you build data-driven processes in the cloud to orchestrate and automate data transfer and transformation. ADF itself does not save any data. Both services support structured and unstructured data.

AWS 52

AWS Cloud Amazon Web Services ETL Tools 52

Knowledge Hut

NOVEMBER 28, 2023

With a plethora of new technology tools on the market, data engineers should update their skill set with continuous learning and data engineer certification programs. What do Data Engineers Do? Java can be used to build APIs and move them to destinations in the appropriate logistics of data landscapes.

Data Engineering 52

Data Engineering Data Engineer Engineering Generalist 52

Cloudera

SEPTEMBER 1, 2020

DDE is a new template flavor within CDP Data Hub in Cloudera’s public cloud deployment option (CDP PC). It is designed to simplify deployment, configuration, and serviceability of Solr-based analytics applications. data best served through Apache Solr). Includes a drag-n-drop style, GUI-based Search Dashboard Designer.

Cloud Storage 66

Cloud Storage Unstructured Data AWS Analytics Application 66

Silectis

JANUARY 3, 2021

BI (Business Intelligence) Strategies and systems used by enterprises to conduct data analysis and make pertinent business decisions. Big Data Large volumes of structured or unstructured data. Data Catalog An organized inventory of data assets relying on metadata to help with data management.

Data Engineering 40

Data Engineering Data Engineer Engineering Hadoop 40

Cloudera

SEPTEMBER 17, 2020

They were not able to quickly and easily query and analyze huge amounts of data as required. They also needed to combine text or other unstructured data with structured data and visualize the results in the same dashboards. A pharmaceutical and life science company struggled in their research department.

Unstructured Data 80

Unstructured Data Pharmaceutical Data Warehouse MySQL 80

Data Engineering Podcast

JUNE 17, 2021

Summary Working with unstructured data has typically been a motivation for a data lake. Kirk Marple has spent years working with data systems and the media industry, which inspired him to build a platform for automatically organizing your unstructured assets to make them more valuable.

Unstructured Data 100

Unstructured Data Data Warehouse Metadata Media 100

Ascend.io

AUGUST 31, 2023

Modern Cloud Data Platforms The native capabilities of the cloud providers have been joined by third-party services to offload that data into separate less costly systems that are optimized for analysis of that data. Let’s investigate these two traditionally contrasting modes of operation.

Data Lake 52

Data Lake ETL Tools Data Warehouse Data Pipeline 52

Knowledge Hut

JULY 26, 2023

Database applications are software programs or systems that are designed to organize and efficiently store, handle, and retrieve vast amounts of data. A database application program is created to communicate with databases, which are structured repositories where data is stored in an organized fashion. Time Series Database (e.g.-

Database 52

Database NoSQL Telecommunication MongoDB 52

Cloudera

SEPTEMBER 15, 2022

The gathering in 2022 marked the sixteenth year for top data and analytics professionals to come to the MIT campus to explore current and future trends. A key area of focus for the symposium this year was the design and deployment of modern data platforms.

Data Lake 78

Data Lake Analytics Application Cloud Storage Architecture 78

Cloudera

AUGUST 30, 2018

Cloud service architecture – storing and accessing data and services over the Internet instead of your data center or local computer’s hard drive. Machine learning driven business – A focus on the design of systems that can learn from and make decisions and predictions based on data.

Unstructured Data 40

Unstructured Data Machine Learning Data Warehouse BI 40

Data Engineering Podcast

JUNE 26, 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. Modern data teams are dealing with a lot of complexity in their data pipelines and analytical code.

Datasets 130

Datasets Unstructured Data Metadata MongoDB 130

Data Engineering Podcast

FEBRUARY 27, 2022

Prophecy provides an easy-to-use visual interface to design & deploy data pipelines on Apache Spark & Apache Airflow. Now all the data users can use software engineering best practices – git, tests and continuous deployment with a simple to use visual designer. How does it work? How does it work?

Unstructured Data 100

Unstructured Data Cloud Management Metadata 100

AltexSoft

MAY 27, 2021

The documents often come in semi-structured and unstructured data formats, which makes them difficult to process quickly and accurately. Robotic Process Automation or RPA is designed to perform repetitive business tasks through the use of software bots (robots). The metadata is then extracted automatically.

Technology 64

Technology Process Insurance Medical 64

Monte Carlo

AUGUST 25, 2023

This same structure aids in maintaining data quality and simplifies how users interact with and understand the data. One advantage of data warehouses is their integrated nature. As fully managed solutions, data warehouses are designed to offer ease of construction and operation.

Data Lake 52

Data Lake Data Warehouse Unstructured Data Raw Data 52

Data Engineering Podcast

NOVEMBER 27, 2022

Summary The data ecosystem has been growing rapidly, with new communities joining and bringing their preferred programming languages to the mix. This has led to inefficiencies in how data is stored, accessed, and shared across process and system boundaries. Atlan is the metadata hub for your data ecosystem. Missing data?

Data Process 100

Data Process Process Metadata Business Intelligence 100

Snowflake

NOVEMBER 2, 2023

Over the years, the technology landscape for data management has given rise to various architecture patterns, each thoughtfully designed to cater to specific use cases and requirements. Rather than defining schema upfront, a user can decide which data and schema they need for their use case.

Data Lake 84

Data Lake Data Warehouse Cloud Unstructured Data 84

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. This metadata is then utilized to manage, monitor, and foster the growth of the platform.

Building 86

Building Transportation Data Lake Metadata 86

Monte Carlo

NOVEMBER 6, 2023

Odds are you’re not starved for data; you’re buried in it. Also known as data catalogs, data discovery tools are specialized software solutions designed to navigate, identify, and visualize data sources within an organization.

Metadata 40

Metadata Unstructured Data Government Data Governance 40

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

Cloudera

NOVEMBER 17, 2022

HBL started their data journey in 2019 when data lake initiative was started to consolidate complex data sources and enable the bank to use single version of truth for decision making. CDP Private Cloud’s new approach to data management and analytics would allow HBL to access powerful self-service analytics.

Banking 81

Banking Management Data Lake Professional Services 81

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

Cloudera

SEPTEMBER 9, 2022

Imagine quickly answering burning business questions nearly instantly, without waiting for data to be found, shared, and ingested. Imagine independently discovering rich new business insights from both structured and unstructured data working together, without having to beg for data sets to be made available.

Architecture 96

Architecture Metadata Unstructured Data Machine Learning 96

Netflix Tech

MARCH 10, 2023

We built an asset management platform (AMP), codenamed Amsterdam , in order to easily organize and manage the metadata, schema, relations and permissions of these assets. One of the first decisions when integrating with Elasticsearch is designing the indices, their settings and mappings. are stored in secure storage layers.

Management 103

Management Metadata Digital Media Kafka 103

Cloudera

SEPTEMBER 15, 2022

Apache Ozone is a distributed, scalable, and high-performance object store , available with Cloudera Data Platform (CDP), that can scale to billions of objects of varying sizes. Structured data (such as name, date, ID, and so on) will be stored in regular SQL databases like Hive or Impala databases. OBJECT_STORE Bucket (“OBS”).

Systems 86

Systems Hadoop Metadata Telecommunication 86

Monte Carlo

JUNE 14, 2023

In this post, we will help you quickly level up your overall knowledge of data pipeline architecture by reviewing: Table of Contents What is data pipeline architecture? Why is data pipeline architecture important? What is data pipeline architecture?

Data Pipeline 52

Data Pipeline Architecture Data Lake Data Warehouse 52

AltexSoft

AUGUST 22, 2022

In this post, we’ll attempt to explain the idea behind a data fabric, its architectural building blocks, the benefits it brings, and ways to approach its implementation. What is data fabric? to provide a unified view of all enterprise data. Data fabric architecture example. Data fabric architecture building blocks.

Architecture 52

Architecture Metadata Data Lake Machine Learning 52

AltexSoft

JUNE 26, 2023

From the perspective of data science, all miscellaneous forms of data fall into three large groups: structured, semi-structured, and unstructured. Key differences between structured, semi-structured, and unstructured data. Unstructured data represents up to 80-90 percent of the entire datasphere.

Data Collection 52

Data Collection Machine Learning Unstructured Data Non-relational Database 52

AltexSoft

DECEMBER 23, 2022

Whether your goal is data analytics or machine learning , success relies on what data pipelines you build and how you do it. But even for experienced data engineers, designing a new data pipeline is a unique journey each time. Data engineering in 14 minutes. Enrichment.

Process 52

Process Building Raw Data Data Lake 52

Netflix Tech

APRIL 26, 2022

We will share how its design has evolved over the years and the lessons learned while building it. To understand Axion’s design, we need to know the various components that interact with it. Figure 1: Netflix ML Architecture Fact: A fact is data about our members or videos. Time is a critical component of Axion?

Metadata 75

Metadata Datasets Machine Learning Designing 75