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. A conceptual architecture illustrating this is shown in Figure 3.

Metadata 117

Metadata Healthcare Medical Data Storage 117

AltexSoft

SEPTEMBER 23, 2021

One of the innovative ways to address this problem is to build a data hub — a platform that unites all your information sources under a single umbrella. This article explains the main concepts of a data hub, its architecture, and how it differs from data warehouses and data lakes. What is Data Hub?

Architecture 52

Architecture Data Lake Unstructured Data Data Warehouse 52

ProjectPro

JUNE 4, 2015

The holistic view of Hadoop architecture gives prominence to Hadoop common, Hadoop YARN, Hadoop Distributed File Systems (HDFS ) and Hadoop MapReduce of the Hadoop Ecosystem. HDFS in Hadoop architecture provides high throughput access to application data and Hadoop MapReduce provides YARN based parallel processing of large data sets.

Hadoop 52

Hadoop Architecture IT Java 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? Why is data pipeline architecture important?

Data Pipeline 52

Data Pipeline Architecture Data Lake Data Warehouse 52

AltexSoft

AUGUST 29, 2023

In 2010, a transformative concept took root in the realm of data storage and analytics — a data lake. The term was coined by James Dixon , Back-End Java, Data, and Business Intelligence Engineer, and it started a new era in how organizations could store, manage, and analyze their data. What is a data lake?

Data Lake 52

Data Lake Architecture IT Amazon Web Services 52

Cloudera

FEBRUARY 8, 2021

A successful next-generation architecture must embody key characteristics including embedded intelligent edge computing, a secure and reliable embedded edge operating system, the ability to provide dynamic over-the-air updates, and an enterprise level advanced analytics and machine learning platform.

Manufacturing 108

Manufacturing Machine Learning Data Ingestion Electronics 108

Striim

SEPTEMBER 11, 2024

Data pipelines are the backbone of your business’s data architecture. Implementing a robust and scalable pipeline ensures you can effectively manage, analyze, and organize your growing data. Benjamin Kennedy, Cloud Solutions Architect at Striim, emphasizes the outcome-driven nature of data pipelines.

Data Pipeline 98

Data Pipeline Designing Data Lake Data Warehouse 98

Data Engineering Weekly

DECEMBER 16, 2024

The Battle for Catalog Supremacy 2024 witnessed intense competition in the catalog space, highlighting the strategic importance of metadata management in modern data architectures. This architecture incorporates real-time query processing and semantic search capabilities, enabling faster and more accurate content discovery.

Data Engineering 62

Data Engineering Data Engineer Engineering Unstructured Data 62

Knowledge Hut

JANUARY 18, 2024

Roles and Responsibilities Finding data sources and automating the data collection process Discovering patterns and trends by analyzing information Performing data pre-processing on both structured and unstructured data Creating predictive models and machine-learning algorithms Average Salary: USD 81,361 (1-3 years) / INR 10,00,000 per annum 3.

Data Science 98

Data Science Business Analyst Data Architect ETL Method 98

Cloudera

AUGUST 21, 2024

The Awards showcase IT vendor offerings that provide significant technology advances – and partner growth opportunities – across technology categories including AI and AI infrastructure, cloud management tools, IT infrastructure and monitoring, networking, data storage, and cybersecurity.

Unstructured Data 66

Unstructured Data Business Intelligence Data Architecture Data Warehouse 66

AltexSoft

NOVEMBER 10, 2021

The pun being obvious, there’s more to that than just a new term: Data lakehouses combine the best features of both data lakes and data warehouses and this post will explain this all. What is a data lakehouse? Traditional data warehouse platform architecture. Data lake. Data lake architecture example.

Architecture 52

Architecture Data Lake Data Warehouse Metadata 52

Cloudera

SEPTEMBER 15, 2022

Structured data (such as name, date, ID, and so on) will be stored in regular SQL databases like Hive or Impala databases. There are also newer AI/ML applications that need data storage, optimized for unstructured data using developer friendly paradigms like Python Boto API. Ranger policies. Further Reading.

Systems 87

Systems Hadoop Metadata Telecommunication 87

Snowflake

JUNE 5, 2024

Comparison of Snowflake Copilot and Cortex Analyst Cortex Search: Deliver efficient and accurate enterprise-grade document search and chatbots Cortex Search is a fully managed search solution that offers a rich set of capabilities to index and query unstructured data and documents.

Coding 115

Coding Building Management Government 115

U-Next

MARCH 12, 2023

These programs and technologies include, among other things, servers, databases, networking, and data storage. Cloud-based storage enables you to store files in a remote database as opposed to a local or proprietary hard drive. Introduction Cloud computing enables the delivery of many services over the Internet.

Cloud Computing 75

Cloud Computing Unstructured Data Cloud Certification 75

Confluent

MARCH 4, 2019

A trend often seen in organizations around the world is the adoption of Apache Kafka ® as the backbone for data storage and delivery. Different data problems have arisen in the last two decades, and we ought to address them with the appropriate technology. This architecture is functional but has lots of drawbacks.

Cloud 88

Cloud Banking Kafka NoSQL 88

Monte Carlo

AUGUST 25, 2023

Data teams need to balance the need for robust, powerful data platforms with increasing scrutiny on costs. That’s why it’s essential for teams to choose the right architecture for the storage layer of their data stack. But, the options for data storage are evolving quickly. Let’s dive in.

Data Lake 52

Data Lake Data Warehouse Unstructured Data Raw Data 52

Sync Computing

NOVEMBER 7, 2024

A brief history of data storage The value of data has been apparent for as long as people have been writing things down. Despite these limitations, data warehouses, introduced in the late 1980s based on ideas developed even earlier, remain in widespread use today for certain business intelligence and data analysis applications.

Data Lake 52

Data Lake Data Warehouse Business Intelligence Unstructured Data 52

Sync Computing

JANUARY 27, 2025

In Databricks, clusters are groups of virtual computers that work together to process and analyze big data. Example Architecture of Spark on EMR On a more granular level, an Amazon Elastic Compute Cloud (EC2) instance is a single unit of computing power that is used to address a single virtual machine.

AWS 52

AWS Data Lake Machine Learning Big Data 52

AltexSoft

JUNE 7, 2021

The system automatically replicates information to prevent data loss in the case of a node failure. Hadoop architecture, or how the framework works. Master Nodes control and coordinate two key functions of Hadoop: data storage and parallel processing of data. Data storage options.

Big Data Tools 98

Big Data Tools Hadoop Big Data Database-centric 98

Data Engineering Weekly

MARCH 3, 2024

The migration enhanced data quality, lineage visibility, performance improvements, cost reductions, and better reliability and scalability, setting a robust foundation for future expansions and onboarding.

Data Engineering 67

Data Engineering Data Engineer Engineering Pipeline-centric 67

ProjectPro

MARCH 17, 2014

Get FREE Access to Data Analytics Example Codes for Data Cleaning, Data Munging, and Data Visualization Image Credit: twitter.com There are hundreds of companies like Facebook, Twitter, and LinkedIn generating yottabytes of data. What is Big Data according to EMC? What is Hadoop?

Hadoop 52

Hadoop Big Data Unstructured Data Data Analytics 52

ProjectPro

JANUARY 19, 2022

An Azure Data Engineer is a highly qualified expert responsible for integrating, transforming, and merging data from various structured and unstructured sources into a structure used to construct analytics solutions. Data engineering is a new and ever-evolving field that can withstand the test of time and computing developments.

Data Engineering 52

Data Engineering Data Engineer Engineering Data Storage 52

ProjectPro

SEPTEMBER 16, 2021

NoSQL databases are the new-age solutions to distributed unstructured data storage and processing. The speed, scalability, and fail-over safety offered by NoSQL databases are needed in the current times in the wake of Big Data Analytics and Data Science technologies.

NoSQL 52

NoSQL Database Hadoop Big Data 52

Knowledge Hut

NOVEMBER 7, 2023

You can swiftly provision infrastructure services like computation, storage, and databases, as well as machine learning, the internet of things, data lakes and analytics, and much more. To learn more about cloud computing architecture take up the best Cloud Computing courses by Knowledgehut. What Is Cloud Computing?

Cloud Computing 98

Cloud Computing Cloud Amazon Web Services Entertainment 98

ProjectPro

SEPTEMBER 9, 2021

Hive comparison elaborates on the two tools’ architecture, features, limitations, and key differences. The following is the architecture of Hive. Apache Hive Architecture Apache Hive has a simple architecture with a Hive interface, and it uses HDFS for data storage.

Hadoop 52

Hadoop Big Data Tools Java Big Data 52

AltexSoft

MAY 14, 2021

A growing number of companies now use this data to uncover meaningful insights and improve their decision-making, but they can’t store and process it by the means of traditional data storage and processing units. Key Big Data characteristics. Data storage and processing. Hadoop architecture layers.

Big Data 78

Big Data Data Analytics IT NoSQL 78

ProjectPro

MARCH 19, 2015

RDBMS is not always the best solution for all situations as it cannot meet the increasing growth of unstructured data. As data processing requirements grow exponentially, NoSQL is a dynamic and cloud friendly approach to dynamically process unstructured data with ease.IT Image Credit: smist08.wordpress.com/

NoSQL 49

NoSQL Big Data SQL Database-centric 49

ProjectPro

FEBRUARY 8, 2023

Let us dive deeper into this data integration solution by AWS and understand how and why big data professionals leverage it in their data engineering projects. It is also compatible with other popular data storage that may be deployed on Amazon EC2 instances. Table of Contents What is AWS Glue? Why Use AWS Glue?

AWS 98

AWS Scala Metadata Data Lake 98

Snowflake

MARCH 7, 2023

The Snowflake Data Cloud enables a single data repository and native support for structured, semi-structured, and unstructured data. With Snowpark , all ML-driven data science use cases can be facilitated directly in Snowflake. To support AI and ML endeavors, Snowflake connects to SageMaker Autopilot and Azure ML.

Cloud 52

Cloud Portfolio Unstructured Data Banking 52

Monte Carlo

APRIL 24, 2023

Data lakes are useful, flexible data storage repositories that enable many types of data to be stored in its rawest state. 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.

Data Lake 52

Data Lake Google Cloud Data Warehouse AWS 52

Knowledge Hut

SEPTEMBER 26, 2023

Organizations can harness the power of the cloud, easily scaling resources up or down to meet their evolving data processing demands. Supports Structured and Unstructured Data: One of Azure Synapse's standout features is its versatility in handling a wide array of data types.

Data Lake 52

Data Lake Database-centric Machine Learning Pipeline-centric 52

Knowledge Hut

DECEMBER 26, 2023

Data Engineers are skilled professionals who lay the foundation of databases and architecture. Using database tools, they create a robust architecture and later implement the process to develop the database from zero. NoSQL is a distributed data storage that is becoming increasingly popular.

Data Engineering 98

Data Engineering Data Engineer Engineering Hadoop 98

AltexSoft

JUNE 26, 2023

Find sources of relevant data. Choose data collection methods and tools. Decide on a sufficient data amount. Set up data storage technology. Below, we’ll elaborate on each step one by one and share our experience of data collection. Key differences between structured, semi-structured, and unstructured data.

Data Collection 52

Data Collection Machine Learning Unstructured Data Non-relational Database 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

Knowledge Hut

APRIL 23, 2024

They also facilitate historical analysis, as they store long-term data records that can be used for trend analysis, forecasting, and decision-making. Big Data In contrast, big data encompasses the vast amounts of both structured and unstructured data that organizations generate on a daily basis.

Data Warehouse 52

Data Warehouse Big Data Unstructured Data Hadoop 52

Snowflake

MARCH 30, 2023

Snowflake can also ingest external tables from on-premise s data sources via S3-compliant data storage APIs. Batch/file-based data is modeled into the raw vault table structures as the hub, link, and satellite tables illustrated at the beginning of this post. The friction of data movement is reduced.

Engineering 105

Engineering Raw Data Data Science Machine Learning 105

Knowledge Hut

JUNE 26, 2023

From analysts to Big Data Engineers, everyone in the field of data science has been discussing data engineering. When constructing a data engineering project, you should prioritize the following areas: Multiple sources of data (APIs, websites, CSVs, JSON, etc.)

Data Engineering 98

Data Engineering Data Engineer Coding Project 98