Monte Carlo

JUNE 6, 2023

The reality is that addressing data quality is unlikely to be the initiative that teams want to prioritize ahead of building shiny new products or services, but it’s often the one that they need to prioritize in order to maintain trust or scale their team and platform. The governance team treats every team output as a data product.

Data Governance 98

Data Governance Government Data Data Engineering 98

Knowledge Hut

APRIL 26, 2024

Python comes with a rich support of libraries with crisp documentation. The syntax for accessing each element of the list is variable_name[index]. It has a very easy learning curve, due in large part to its simple, user-friendly syntax. Stack overflow’s annual survey placed Python as the number one programming language of 2020.

Python 98

Python Programming Language Programming Data Analysis 98

Confluent

AUGUST 29, 2019

In an identity/access management application, it’s the relationships between roles and their privileges that matters most. If you’ve found yourself needing to write very large JOIN statements or dealing with long paths through your data, then you are probably facing a graph problem. Relationships act like verbs in your graph.

Kafka 55

Kafka Process Algorithm Cloud 55

Cloudera

OCTOBER 28, 2021

Commercial Lines insurers generally do not analyze the full range of their data, nor do they always have the right processes and technology in place to enable the collection, storage, and analysis to operationalize the data. In the last few years, Commercial Insurers have been making great strides in expanding the use of their data.

Insurance 102

Insurance Transportation Unstructured Data Manufacturing 102

Monte Carlo

FEBRUARY 12, 2024

To differentiate and expand the usefulness of these models, organizations must augment them with first-party data – typically via a process called RAG (retrieval augmented generation). Today, this first-party data mostly lives in two types of data repositories.

Database 72

Database Unstructured Data Data Pipeline Metadata 72

Netflix Tech

FEBRUARY 25, 2021

Many organizations are embracing GraphQL as a way to unify their enterprise-wide data model and provide a single entry point for navigating a sea of structured data with its network of related entities. Documentation can even be embedded in the database comments such that it displays in the GraphQL schema generated by Graphile.

PostgreSQL 82

PostgreSQL Database Entertainment SQL 82

Data Engineering Weekly

MAY 5, 2024

The motivation for Machine Unlearning is critical from the privacy perspective and for model correction, fixing outdated knowledge, and access revocation of the training dataset. link] Daniel Beach: Delta Lake - Map and Array data types Having a well-structured data model is always great, but we often handle semi-structured data.

Data Engineering 69

Data Engineering Data Engineer Engineering Google Cloud 69

Knowledge Hut

OCTOBER 24, 2023

Documentation Business analysts evaluate data, provide reports, and produce documentation based on the data. Therefore, documentation is required and one of the best skills for business analysts. Business analysts can use documentation to make their points clearly and concisely in client and team meetings.

Business Analyst 98

Business Analyst Business Intelligence SQL Programming Language 98

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. The Replication Manager support matrix is documented in our public docs.

Cloud 74

Cloud Data Lake Cloud Storage Metadata 74

Knowledge Hut

MARCH 15, 2024

Programming languages like SQL (Structured Query Language) are used to update and retrieve data from databases, among other things. SQL is used by several popular relational database management systems, including Microsoft SQL Server, Sybase, Oracle, Access, etc. Queries are performed using SQL (Structured Query Language).

NoSQL 52

NoSQL Database-centric Relational Database PostgreSQL 52

Towards Data Science

JUNE 8, 2023

The reality is that addressing data quality is unlikely to be the initiative that teams want to prioritize ahead of building shiny new products or services, but it’s often the one that they need to prioritize in order to maintain trust or scale their team and platform. The governance team treats every team output as a data product.

Data Governance 73

Data Governance Government Generalist Data Engineering 73

Cloudera

NOVEMBER 25, 2020

The challenges Matthew and his team are facing are mainly about access to a multitude of data sets, of various types and sources, with ease and ad-hoc, and their ability to deliver data-driven and confident outcomes. . Most of their research data is unstructured and has a lot of variety. Challenges Ahead.

Data Warehouse 60

Data Warehouse Unstructured Data Medical Pharmaceutical 60

AltexSoft

JUNE 26, 2023

Data collection revolves around gathering raw data from various sources, with the objective of using it for analysis and decision-making. It includes manual data entries, online surveys, extracting information from documents and databases, capturing signals from sensors, and more.

Data Collection 52

Data Collection Machine Learning Unstructured Data Non-relational Database 52

Knowledge Hut

JULY 24, 2023

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

Confluent

JUNE 13, 2019

For alert rates of millions per night, scientists need a more structured data format for automated analysis pipelines. After researching formats—and reading about Confluent’s suggestion of using Avro with Kafka —we settled on using Avro, an open source, JSON-based binary format, for serializing the data in the alert messages.

Kafka 102

Kafka Bytes Data Pipeline Python 102

RandomTrees

SEPTEMBER 17, 2024

Understanding the Object Hierarchy in Metastore Identifying the Admin Roles in Unity Catalog Unveiling Data Lineage in Unity Catalog: Capture and Visualize Simplifying Data Access using Delta Sharing 1. Improved Data Discovery The tagging and documentation features in Unity Catalog facilitate better data discovery.

Data Governance 52

Data Governance Government Metadata Machine Learning 52

Towards Data Science

MAY 14, 2024

Dataform enables the application of software engineering best practices such as testing, environments, version control, dependencies management, orchestration and automated documentation to data pipelines. Dataform requires credentials to access GitHub when checking out the code stored on a remote repository.

Data Pipeline 68

Data Pipeline Coding Raw Data Accessible 68

Cloudera

OCTOBER 3, 2018

In the data center and in the cloud, there’s a proliferation of players, often building on technology we’ve created or contributed to, battling for share. The tremendous growth in both unstructured and structured data overwhelms traditional data warehouses. We have each innovated separately in those areas.

Hadoop 75

Hadoop Cloud Data Storage Big Data 75

Ascend.io

FEBRUARY 28, 2024

Read More: AI Data Platform: Key Requirements for Fueling AI Initiatives How Data Engineering Enables AI Data engineering is the backbone of AI’s potential to transform industries , offering the essential infrastructure that powers AI algorithms.

Data Engineering 52

Data Engineering Data Engineer Engineering Metadata 52

Knowledge Hut

NOVEMBER 3, 2023

MongoDB is used for data science, meaning that we utilize the capabilities of this NoSQL database system as part of our data analysis and data modeling processes, which fall under the realm of data science. There are several benefits to MongoDB for data science operations.

MongoDB 52

MongoDB Data Science NoSQL ETL Tools 52

Workfall

JULY 4, 2023

It supports structured and semi-structured data, with compatibility for various data formats. Snowflake provides automatic scaling, concurrency control, and workload isolation for efficient data processing. It integrates with popular BI tools, making it accessible for data analysis and reporting.

Data Warehouse 69

Data Warehouse SQL PostgreSQL Database 69

Knowledge Hut

JANUARY 30, 2024

Goal To extract and transform data from its raw form into a structured format for analysis. To uncover hidden knowledge and meaningful patterns in data for decision-making. Data Source Typically starts with unprocessed or poorly structured data sources. Analyzing and deriving valuable insights from data.

ETL Tools 52

ETL Tools Database-centric Data Mining Raw Data 52

Grouparoo

DECEMBER 26, 2021

For data storage, the database is one of the fundamental building blocks. They provide a method for storing information in an organized manner that ensures it remains accessible while providing the mechanisms to protect the integrity, confidentiality, and availability of the information they hold.

Database 52

Database NoSQL Relational Database Data Storage 52

Precisely

APRIL 30, 2024

These include: Structured data dependence: RPA solutions thrive on well-organized, predictable data. It struggles with unstructured data like emails, scanned documents, or free-form text. Security considerations: RPA bots often require access to various systems and data.

Unstructured Data 59

Unstructured Data Government Data Validation Programming 59

ProjectPro

AUGUST 11, 2021

This means that a data warehouse is a collection of technologies and components that are used to store data for some strategic use. Data is collected and stored in data warehouses from multiple sources to provide insights into business data. Data from data warehouses is queried using SQL.

Data Lake 52

Data Lake Data Warehouse Cloud Hadoop 52

Knowledge Hut

APRIL 23, 2024

Big Data vs Small Data: Function Variety Big Data encompasses diverse data types, including structured, unstructured, and semi-structured data. It involves handling data from various sources such as text documents, images, videos, social media posts, and more. How they are Similar?

Big Data 52

Big Data Datasets Data Analysis Media 52

Knowledge Hut

APRIL 23, 2024

Data warehouses are typically built using traditional relational database systems, employing techniques like Extract, Transform, Load (ETL) to integrate and organize data. Data warehousing offers several advantages. By structuring data in a predefined schema, data warehouses ensure data consistency and accuracy.

Data Warehouse 52

Data Warehouse Big Data Unstructured Data Hadoop 52

Knowledge Hut

MARCH 18, 2024

Let’s look at these in detail: SOAP (Simple Object Access Protocol) Web Services Soap is simply a protocol designed with the motive that programs that are built on different programming languages can easily exchange information. It is a message protocol specification for exchanging structured data. It publishes its API.

Cloud Computing 52

Cloud Computing Programming Language Amazon Web Services Transportation 52

Precisely

SEPTEMBER 6, 2023

Similar laws in other jurisdictions are raising the stakes for enterprises, compelling them to govern their data more effectively than they have in the past. Traditional frameworks for data governance often work well for smaller volumes of data, and for highly structured data.

Data Governance 52

Data Governance Big Data Government Unstructured Data 52

Scott Logic

AUGUST 11, 2023

Search engines that search through websites on the internet are an example of a more general concept called a document search engine. In this context, a document is some structured data, containing a large piece of text (e.g. One solution could be matching words in the search query to words in the document.

Engineering 52

Engineering AWS Datasets Metadata 52

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!! SaaS companies like Salesforce and Zendesk are increasingly processing and emitting sem-structure data.

Data Engineering 52

Data Engineering Data Engineer Engineering Relational Database 52

Rockset

MAY 21, 2024

Advantages of RAG Enhanced Relevance: By incorporating retrieved documents, RAG can produce more accurate and contextually relevant responses. Irrelevant Retrieval: Instances where retrieved documents do not contain relevant information can fail to improve the model's responses. pdf") pdf_texts = [p.extract_text().strip()

Building 52

Building Utilities Datasets Database 52

Rockset

OCTOBER 4, 2022

Event streams, such as clickstreams, IoT data and other time series data, are common sources of data into these apps. The broad adoption of Apache Kafka has helped make these event streams more accessible. This means users need to configure their streams to batch data ahead of loading into ClickHouse.

MySQL 52

MySQL Kafka Aggregated Data Architecture 52

Zalando Engineering

JANUARY 30, 2023

The procedures document the conditions (e.g. This structure allows all stakeholders involved in incident response to clearly understand the executed actions and target state of the system to expect. When we started in 2019, we first focused on a collection of procedures that were already known, but not consistently documented.

Management 55

Management Metadata Software Engineer Software Engineering 55

Rockset

JULY 28, 2022

It is widely supported and provides flexible JSON document storage at scale. MongoDB has native analytical capabilities allowing you to build up complex transformation and aggregation pipelines to be executed on the documents. Documents in MongoDB can also have complex structures.

MongoDB 52

MongoDB Kafka NoSQL Data Lake 52

Knowledge Hut

JUNE 28, 2023

Focus Exploration and discovery of hidden patterns and trends in data. Reporting, querying, and analyzing structured data to generate actionable insights. Data Sources Diverse and vast data sources, including structured, unstructured, and semi-structured data.

Data Mining 52

Data Mining Business Intelligence BI Structured Data 52

AltexSoft

MAY 14, 2021

A single car connected to the Internet with a telematics device plugged in generates and transmits 25 gigabytes of data hourly at a near-constant velocity. And most of this data has to be handled in real-time or near real-time. Variety is the vector showing the diversity of Big Data. Data storage and processing.

Big Data 78

Big Data Data Analytics IT NoSQL 78