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. See below. .

Data Lake 81

Data Lake Analytics Application Cloud Storage Architecture 81

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

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

Monte Carlo

NOVEMBER 6, 2023

Also known as data catalogs, data discovery tools are specialized software solutions designed to navigate, identify, and visualize data sources within an organization. Here’s an overview of ten popular data discovery tools (in no particular order) that are available today.

Metadata 40

Metadata Unstructured Data Government Data Governance 40

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

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

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

NOVEMBER 10, 2021

In a nutshell, the lakehouse system leverages low-cost storage to keep large volumes of data in its raw formats just like data lakes. 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.

Architecture 52

Architecture Data Lake Data Warehouse Metadata 52

AltexSoft

SEPTEMBER 23, 2021

Data warehouse vs data lake vs data hub comparison table. Data warehouse vs data hub. A data warehouse (DW) is a unified storage for all corporate data. Data lake vs data hub. A data lake is quite opposite of a DW, as it stores large amounts of both structured and unstructured data.

Architecture 52

Architecture Data Lake Unstructured Data Data Warehouse 52

AltexSoft

NOVEMBER 23, 2021

All enterprise data is available through a single virtual layer for different users and a variety of use cases. They can design and perform whatever reports and analysis they need without worrying about a data format or where it resides. It’s not all rosy in the kingdom of data virtualization though. Connection layer.

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Process Data Lake Metadata Data Warehouse 69

AltexSoft

JULY 29, 2022

No matter the actual size, each cluster accommodates three functional layers — Hadoop distributed file systems for data storage, Hadoop MapReduce for processing, and Hadoop Yarn for resource management. Hadoop distributed file system or HDFS is a data storage technology designed to handle gigabytes to terabytes or even petabytes of data.

Hadoop 59

Hadoop Big Data Google Cloud NoSQL 59

Snowflake

MARCH 30, 2023

External table registration and consumption as: Parquet : A popular column-oriented data file format for analytics AVRO : A serialization format for data under streaming pipelines ORC : An optimized row-columnar file format designed for Hive Iceberg : An open table format specifically designed for analytical queries.

Engineering 83

Engineering Raw Data Data Science Scala 83

AltexSoft

MAY 12, 2023

In today’s data-driven world, organizations amass vast amounts of information that can unlock significant insights and inform decision-making. A staggering 80 percent of this digital treasure trove is unstructured data, which lacks a pre-defined format or organization. What is unstructured data?

Unstructured Data 59

Unstructured Data NoSQL Hadoop Data Lake 59

ProjectPro

AUGUST 24, 2021

Thus, as a learner, your goal should be to work on projects that help you explore structured and unstructured data in different formats. Data Warehousing: Data warehousing utilizes and builds a warehouse for storing data. A data engineer interacts with this warehouse almost on an everyday basis.

Data Engineering 52

Data Engineering Data Engineer Coding Project 52

ProjectPro

NOVEMBER 30, 2021

For instance, specify the list of country codes allowed in a country data field. Connectors to Extract data from sources and standardize data: For extracting structured or unstructured data from various sources, we will need to define tools or establish connectors that can connect to these sources.

Process 52

Process Data Pipeline Data Warehouse AWS 52

Cloudera

OCTOBER 7, 2021

Introduction to the Data Mesh Architecture. The concept of the data mesh architecture is not entirely new; Its conceptual origins are rooted in the microservices architecture, its design principles (i.e., In the Enterprise Data Management realm, such a data domain is called an Authoritative Data Domain (ADD).

Architecture 123

Architecture Metadata Government Kafka 123

Precisely

FEBRUARY 9, 2024

Trusted AI Outcomes Require a Focus on Data Integrity Everyone’s talking about artificial intelligence (AI) for its unique ability to automate or accelerate user tasks, resulting in greater efficiency and productivity and a reduced dependence on manual labor.

Data Integration 69

Data Integration Government Metadata Data 69

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.

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Data Integration Metadata Government Unstructured Data 98

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

Monte Carlo

JANUARY 24, 2023

To address these challenges, new frameworks are regularly emerging that promise to simplify and optimize how data is ingested, stored, transformed, and analyzed. One of the latest is the concept of a data fabric. A data fabric isn’t just a buzzword, but it is a somewhat abstract design concept. What is a data fabric?

Metadata 40

Metadata Unstructured Data Data Architecture 40

AltexSoft

MARCH 30, 2023

Databricks architecture Databricks provides an ecosystem of tools and services covering the entire analytics process — from data ingestion to training and deploying machine learning models. This way, Delta Lake brings warehouse features to cloud object storage — an architecture for handling large amounts of unstructured data in the cloud.

Scala 64

Scala Data Lake BI Google Cloud 64

Monte Carlo

JANUARY 23, 2023

Before we can look at the data mesh and how this new architectural paradigm stacks up, let’s first take a deeper look at the data lake, what it is, and how it serves modern data teams. A data mesh requires stricter data standards, including alignment on formatting, metadata fields, discoverability, and governance.

Data Lake 52

Data Lake Unstructured Data Business Intelligence Architecture 52