Snowflake

JULY 27, 2023

In this guest blog post, HomeToGo’s director of data, Stephan Claus, explains why the company migrated to Snowflake to meet its data needs. This article is based on Stephan’s presentation during the Snowflake Data World Tour 2022. Something that is especially handy is Snowflake’s support for semi-structured data.

Data Architecture 52

Data Architecture Architecture Building Structured Data 52

Knowledge Hut

FEBRUARY 29, 2024

A database is a structured data collection that is stored and accessed electronically. According to a database model, the organization of data is known as database design. Blogs KDnuggets: It is one of the compelling and regularly updated sites for blogs on analytics, Data Science, Big Data and machine learning.

Data Science 98

Data Science Datasets Database Design Machine Learning 98

Snowflake

MARCH 30, 2023

Data Vault as a practice does not stipulate how you transform your data, only that you follow the same standards to populate business vault link and satellite tables as you would to populate raw vault link and satellite tables. Based on Tecton blog So is this similar to data engineering pipelines into a data lake/warehouse?

Engineering 83

Engineering Raw Data Data Science Scala 83

Snowflake

NOVEMBER 2, 2023

Rather than defining schema upfront, a user can decide which data and schema they need for their use case. Snowflake has long supported semi-structured data types and file formats like JSON, XML, Parquet, and more recently storage and processing of unstructured data such as PDF documents, images, videos, and audio files.

Data Lake 91

Data Lake Data Warehouse Cloud Unstructured Data 91

Cloudera

NOVEMBER 15, 2021

The word “data” is ubiquitous in narratives of the modern world. And data, the thing itself, is vital to the functioning of that world. This blog discusses quantifications, types, and implications of data. Quantifications of data. Addressing the challenges of data.

Unstructured Data 88

Unstructured Data Pipeline-centric Database-centric Entertainment 88

Data Engineering Weekly

DECEMBER 18, 2022

Given the characteristic, are we having a “Big Data” problem? Can we spin off a machine with all the data stack and run through the analysis? The author writes an exciting blog, Modern data stack in a Box!! link] Data Engineering Central: Why is everyone trying to kill Airflow?

Data Engineering 52

Data Engineering Data Engineer Engineering Relational Database 52

Data Engineering Weekly

APRIL 7, 2024

link] Spotify: Data Platform Explained In the ever-evolving landscape of data-driven decision-making, a well-structured data platform emerges as a critical asset. Spotify shares some of the critical triggers in an organization that leads to build data platform.

Data Engineering 70

Data Engineering Data Engineer Engineering Unstructured Data 70

Databand.ai

JULY 17, 2023

MLOps: Key Similarities and Differences Similarities between DataOps and MLOps Differences Between DataOps and MLOps Choosing Between DataOps and MLOps Evaluating Your Organization’s Needs Incorporating Both Approaches: A Hybrid Solution?

Data Pipeline 52

Data Pipeline Machine Learning High Quality Data Data Ingestion 52

Knowledge Hut

APRIL 26, 2024

txt’,’r’) as f: pass Conclusion: Hope this blog has help you understand some common features of Python, as well as the important updates and core concepts of python3. So, variable can be declared as below. varName = value Example x = 1 that means we have assigned number 1 which is an integer to variable x y = 3.14

Python 98

Python Programming Language Programming Data Analysis 98

Knowledge Hut

MARCH 20, 2024

Data type defines the kind of value that can be stored in a variable or expression, acting as a classification system for data. Data structure, on the other hand, is a way to arrange and store data in computer memory so that it may be accessed and altered quickly. What is Data Type? What is Data Structure?

Computer Science 52

Computer Science Programming Language Algorithm Software Engineer 52

Snowflake

APRIL 17, 2023

Panther Labs improves point lookup queries by 100x for VARIANT data types The new features in the Search Optimization Service enable our customers to easily search in logs and semi-structured data stored in VARIANT, ARRAY, and OBJECT columns.

Food 57

Food Structured Data Utilities Accessible 57

Knowledge Hut

MARCH 22, 2024

This blog will provide you with a strong foundation in DSA using C. What is a Data Structure? Data structures let programmers organize data for efficient usage by enabling computers to perform operations like insertion, deletion, searching, and sorting to efficiently arrange and store data in memory.

Algorithm 52

Algorithm Programming Language Software Engineer Software Engineering 52

Cloudera

JUNE 3, 2022

Data scientists are likely to use a variety of different tools to move through their processes. It could be a homespun version of PostgreSQL on their local machine for exploring structured data sets; to visualize, they could be writing code or using a BI tool like Tableau or PowerBI.

Data Analysis 90

Data Analysis PostgreSQL Data Science SQL 90

Snowflake

MAY 23, 2024

Learn more about TDAA and the preview program for Pancake, its scan and discovery Snowflake Native App, at datapancake.com or read the company’s post on the Snowflake Builder Blog on Medium for technical details.

Data Pipeline 85

Data Pipeline Raw Data Data Schemas Technology 85

Workfall

JULY 4, 2023

Each successful deployment enriches its data ecosystem, empowering decision-makers with valuable, up-to-date insights. DBT has become the stuff of legends, passed down through generations of data engineers, forever celebrated for its role in creating a world of data excellence. appeared first on The Workfall Blog.

Data Warehouse 69

Data Warehouse SQL PostgreSQL Database 69

Knowledge Hut

MAY 2, 2024

It also supports a rich set of higher-level tools, including Spark SQL for SQL and structured data processing, MLlib for machine learning, GraphX for graph processing, and Spark Streaming. To analyze huge amounts of data more, Apache Spark can split a job over a number of machines in a cluster.

Hadoop 52

Hadoop Java Scala Programming Language 52

Cloudera

APRIL 1, 2024

The following are key attributes of our platform that set Cloudera apart: Unlock the Value of Data While Accelerating Analytics and AI The data lakehouse revolutionizes the ability to unlock the power of data. The post Cloudera Named a Visionary in the Gartner MQ for Cloud DBMS appeared first on Cloudera Blog.

Cloud 104

Cloud Unstructured Data Metadata Datasets 104

Data Engineering Weekly

NOVEMBER 20, 2022

[link] Atlassian: Learn How to Prepare For New European Data Privacy Requirements Data privacy and regulatory requirements mostly won’t feature in a developer blog, and I found pleasantly surprised with this article from Atlassian. The blog narrates one such application that uses video quality with neural networks.

Data Engineering 52

Data Engineering Data Engineer Engineering Datasets 52

phData: Data Engineering

SEPTEMBER 19, 2023

By employing robust data modeling techniques, businesses can unlock the true value of their data lake and transform it into a strategic asset. With many data modeling methodologies and processes available, choosing the right approach can be daunting. Want to learn more about data governance?

Data Lake 52

Data Lake Process Metadata Data Warehouse 52

Data Engineering Podcast

FEBRUARY 9, 2020

What are some of the primary challenges associated with data modeling that contribute to the long lead times for data requests or outright project Datafailure? What are some of the foundational skills and knowledge that are necessary for effective modeling of data warehouses?

Data Lake 100

Data Lake Data Warehouse Hadoop NoSQL 100

Cloudera

SEPTEMBER 15, 2022

Today’s platform owners, business owners, data developers, analysts, and engineers create new apps on the Cloudera Data Platform and they must decide where and how to store that data. Structured data (such as name, date, ID, and so on) will be stored in regular SQL databases like Hive or Impala databases.

Systems 87

Systems Hadoop Metadata Telecommunication 87

ProjectPro

JANUARY 27, 2023

If you're wondering how the ETL process can drive your company to a new era of success, this blog will help you discover what use cases of ETL make it a critical component in many data management and analytic systems. ETL for IoT - Use ETL to analyze large volumes of data IoT devices generate.

BI 52

BI ETL Tools Retail Healthcare 52

Edureka

JANUARY 18, 2024

It also discusses available resources and tools, and the current data science landscape. Introduction of R as an optional language in data science, highlighting its strengths in statistics and visualization. Look into Dplyr in R for more efficient data manipulation tasks. This concludes our blog about data science roadmap.

Data Science 40

Data Science Deep Learning NoSQL Machine Learning 40

Knowledge Hut

JULY 24, 2023

In this blog, we will talk about the future of database management. NoSQL Databases NoSQL databases are non-relational databases (that do not store data in rows or columns) more effective than conventional relational databases (databases that store information in a tabular format) in handling unstructured and semi-structured data.

Database 52

Database NoSQL Management Relational Database 52

Data Engineering Weekly

FEBRUARY 12, 2023

[link] Sponsored: Fireside Chat: The Future of CDPs Join this live session with BARK CTO Nari Sitaraman, & RudderStack Founder Soumyadeb Mitra on 2/15 at 9 AM PT to make sense of the CDP evolution and get practical advice on how to drive competitive advantage as a data leader in 2023.

Data Engineering 52

Data Engineering Data Engineer Engineering Hadoop 52

U-Next

SEPTEMBER 7, 2022

Structuring data refers to converting unstructured data into tables and defining data types and relationships based on a schema. As a result, a data lake concept becomes a game-changer in the field of big data management. . Data is kept in its.raw format. Different Storage Options . Conclusion .

Data Lake 52

Data Lake Data Warehouse Unstructured Data Amazon Web Services 52

Monte Carlo

JANUARY 16, 2024

As every company becomes a data company, and more users within these companies are discovering new uses for previously unavailable data, existing infrastructure and tools are not just meeting that demand but creating new demands. At the center of it all is the data warehouse, the lynchpin of any modern data stack.

Data Lake 52

Data Lake Data Warehouse Unstructured Data AWS 52

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. Events or time-series data served by our real-time events or time-series data store solutions.

Unstructured Data 81

Unstructured Data Data Warehouse Pharmaceutical MySQL 81

Pinterest Engineering

NOVEMBER 28, 2023

Thrift Integration for Enhanced Parsing Leveraging the structured data serialization capabilities of Apache Thrift presents a promising avenue for optimizing the parsing of incoming data. To learn more about engineering at Pinterest, check out the rest of our Engineering Blog and visit our Pinterest Labs site.

Kafka 81

Kafka Bytes Architecture Utilities 81

Cloudera

DECEMBER 11, 2020

As mentioned in my previous blog on the topic , the recent shift to remote working has seen an increase in conversations around how data is managed. It established a data governance framework within its enterprise data lake. The post 2020 Data Impact Award Winner Spotlight: Merck KGaA appeared first on Cloudera Blog.

Data Lake 98

Data Lake Government Data Security Unstructured Data 98

Cloudera

OCTOBER 17, 2023

This blog is for anyone who was interested but unable to attend the conference, or anyone interested in a quick summary of what happened there. Lastly, real-time processing and movement of multi structured data including prompts and embeddings is critical for harnessing the transformative power of AI.

Database-centric 77

Database-centric Kafka Pipeline-centric Database 77

Cloudera

OCTOBER 7, 2021

In this blog, I will demonstrate the value of Cloudera DataFlow (CDF) , the edge-to-cloud streaming data platform available on the Cloudera Data Platform (CDP) , as a Data integration and Democratization fabric. The post How Cloudera Data Flow Enables Successful Data Mesh Architectures appeared first on Cloudera Blog.

Architecture 124

Architecture Metadata Government Kafka 124

ProjectPro

FEBRUARY 16, 2023

While both BI and AI provide data-driven insights, they differ in how they help businesses gain a competitive edge in the data-driven marketplace. The blog will also guide you through how combining AI and BI will help improve business solutions. Focus Historical data analysis, reporting, and visualization.

Business Intelligence 52

Business Intelligence BI Data Mining Raw Data 52

Cloudera

JUNE 25, 2021

Using easy-to-define policies, Replication Manager solves one of the biggest barriers for the customers in their cloud adoption journey by allowing them to move both tables/structured data and files/unstructured data to the CDP cloud of their choice easily. Sentry permissions exported from CDH to Ranger policies on Data Lake. .

Cloud 71

Cloud Data Lake Cloud Storage Metadata 71

Cloudera

OCTOBER 28, 2021

In the last few years, Commercial Insurers have been making great strides in expanding the use of their data. The approach is very evolutionary; the initial focus tends to be aimed at cost savings and starts with structured data. Then there is a recognition that there is so much more that can be done with the data.

Insurance 96

Insurance Transportation Unstructured Data Manufacturing 96

Rockset

MAY 21, 2024

If you'd like to know more about Query lambdas, feel free to read this blog post. Finally, the text chunks are saved along with their embeddings in a JSON file for later. embedding return embedding reader = PdfReader("/content/microsoft_annual_report_2022.pdf") pdf") pdf_texts = [p.extract_text().strip()

Building 52

Building Utilities Datasets Database 52

Rockset

DECEMBER 17, 2021

Note: This post was originally posted on the Omnata blog. James is the CEO and Founder of Omnata , a tech startup building data integration for the modern data stack. For those unfamiliar, DynamoDB makes database scalability a breeze, but with some major caveats.

SQL 52

SQL NoSQL Database Design Metadata 52