Monte Carlo

MARCH 28, 2024

But these figures are considerably higher than what the site lists for Data Specialists, and around $10,000 higher than the average salary of a Data Manager. There were a couple of challenges because it’s easy to break this type of pipeline and an analyst would work for quite a while to find the data he’s looking for.”

Engineering 75

Engineering Pipeline-centric BI Google Cloud 75

Towards Data Science

FEBRUARY 15, 2023

Data by itself has no value, it needs to be organized, standardized, and clean. In this context, data management in an organization is a key point for the success of its projects involving data. One of the main aspects of correct data management is the definition of a data architecture.

Data Lake 98

Data Lake Data Warehouse Hadoop Architecture 98

DataKitchen

MAY 10, 2024

Have all the source files/data arrived on time? Is the source data of expected quality? Are there issues with data being late, truncated, or repeatedly the same? Have there been any unnoted changes to the data schema or format? I Did Not Get All The Data; I Only Got Part.

Data Ingestion 53

Data Ingestion Transportation Data High Quality Data 53

Towards Data Science

NOVEMBER 4, 2023

What I like about it is that it makes it really easy to work with various data file formats, i.e. SQL, XML, XLS, CSV and JSON. Among other benefits, I like that it works well with semi-complex data schemas. Pandas is an absolute beast in the world of data and there is no need to cover it’s capabilities in this story.

Data Engineering 98

Data Engineering Data Engineer Engineering BI 98

Towards Data Science

JANUARY 17, 2024

One of its neat features is the ability to store data in a compressed format, with snappy compression being the go-to choice. Another cool aspect of Parquet is its flexible approach to data schemas. This adaptability makes it super user-friendly for evolving data projects.

Big Data 97

Big Data Data Data Storage SQL 97

Striim

SEPTEMBER 11, 2024

Strimmer: To build the data pipeline for our Strimmer service, we’ll use Striim’s streaming ETL data processing capabilities, allowing us to clean and format the data before it’s stored in the data store. Schedule a demo today to discover how Striim can transform your data management strategy.

Data Pipeline 98

Data Pipeline Designing Data Lake Data Warehouse 98

Snowflake

FEBRUARY 27, 2023

The final elements of the ManoMano data strategy are ML and data science, which encompass aspects such as categorization, automated extraction of product specifications, product recommendations and cross-selling.

Cloud 52

Cloud Retail Data Warehouse Data 52

Databand.ai

JULY 19, 2023

By loading the data before transforming it, ELT takes full advantage of the computational power of these systems. This approach allows for faster data processing and more flexible data management compared to traditional methods. The data pipeline should be designed to handle the volume, variety, and velocity of the data.

Data Cleanse 52

Data Cleanse Data Storage Raw Data Data Warehouse 52

Edureka

MAY 28, 2025

The Convergence of Architectures New products from Databricks and Snowflake show that there are fewer and fewer differences between data warehouses, lakes, and lakehouses. They are now looking for sites that offer: Unified Data Management: Using a single platform to handle organized, semi-structured, and unstructured data.

Data Lake 40

Data Lake Data Warehouse Unstructured Data Business Intelligence 40

Knowledge Hut

NOVEMBER 3, 2023

The need for efficient and agile data management products is higher than ever before, given the ongoing landscape of data science changes. MongoDB is a NoSQL database that’s been making rounds in the data science community. Quickly pull (fetch), filter, and reduce data.

MongoDB 52

MongoDB Data Science NoSQL ETL Tools 52

Monte Carlo

JUNE 28, 2022

Monte Carlo can automatically monitor and alert for data schema, volume, freshness, and distribution anomalies within the data lake environment. Delta Lake The Delta Lake is an open source storage layer that sits on top of and imbues an existing data lake with additional features that make it more akin to a data warehouse.

Data Lake 52

Data Lake Metadata AWS Data Warehouse 52

Monte Carlo

OCTOBER 11, 2022

Unbeknownst to you, the training data contains a table with aggregated visitor website data with columns that haven’t been updated in a month. It turns out the marketing operations team upgraded to Google Analytics 4 to get ahead of the July 2023 deadline which changed the data schema.

IT 52

IT Datasets Data Warehouse Data Analysis 52

AltexSoft

OCTOBER 3, 2022

machine learning , allowing for analyzing the knowledge contained in the source data and generating new knowledge. The logical basis of RDF is extended by related standards RDFS (RDF Schema) and OWL (Web Ontology Language). physically — when the data and schema are converted into a single RDF representation and.

Relational Database 52

Relational Database Banking Media Computer Science 52

Cloud Academy

JANUARY 27, 2022

For example, you can learn about how JSONs are integral to non-relational databases – especially data schemas, and how to write queries using JSON. The path will help you understand common data formats you might encounter as a data engineer, starting with SQL.

Certification 52

Certification Data Engineering Data Engineer Engineering 52

Knowledge Hut

DECEMBER 28, 2023

If you're in the world of database management, you're likely already familiar with SQL - the powerful programming language that's used to manage and manipulate data. As data volumes increase, the demand for data professionals rises.

SQL 52

SQL MySQL PostgreSQL Database 52

Knowledge Hut

MARCH 22, 2024

Versatility: The versatile nature of MongoDB enables it to easily deal with a broad spectrum of data types , structured and unstructured, and therefore, it is perfect for modern applications that need flexible data schemas.

MongoDB 52

MongoDB Amazon Web Services Computer Science Education 52

Striim

NOVEMBER 8, 2023

Marketing teams should have easy access to the analytical data they need for campaigns. Furthermore, the self-serve data infrastructure should include encryption, data product versioning, data schema, and automation.

Architecture 52

Architecture Generalist Government Datasets 52

Zalando Engineering

SEPTEMBER 8, 2021

A Renderer declares its data dependencies using GraphQL queries and, based on that data, provides a visual representation of a single Entity type (check Part 1 for a detailed explanation on Entities). We want to avoid unwanted data coupling and allow Renderers to be reused in other contexts with minimal risks.

Engineering 52

Engineering Computer Science Coding Data Schemas 52

U-Next

SEPTEMBER 22, 2022

A basic understanding of computers includes the ability to process data, manage computer files, and create presentations. Advanced computer skill is the ability to manage databases, program, and calculate on spreadsheets. . Database Skills: All databases are created and managed by DBMSs.

Consulting 40

Consulting Database Programming Computer Science 40

Monte Carlo

APRIL 20, 2023

This way no decisions get made on bad data and our team becomes a proactive part of the solution,” said then Senior Director of Data at Freshly, Vitaly Lilich. Data access and enablement Data lineage is essential to data quality, but that is far from its only use case. Analyze your current schema and lineage.

Data Warehouse 52

Data Warehouse BI Data Government 52

Netflix Tech

OCTOBER 31, 2018

The curious reader might have noticed that a majority of these characteristics relate to properties of the data managed by NMDB. Specifically, structured data that is modeled around the notion of a media timeline, with additional spatial properties. called “ N etflix M edia D ata B ase” (NMDB) that is used to address them.

Media 55

Media Metadata Data MongoDB 55

Monte Carlo

FEBRUARY 6, 2023

Governance What data is being housed and the requirements of your business and industry will determine the level and types of governance policies you’ll need to implement. For example, healthcare providers are generally subject to HIPAA regulations pertaining to data management and usage.

Data Warehouse 52

Data Warehouse AWS Data Data Validation 52

ProjectPro

JANUARY 31, 2023

Define Big Data and Explain the Seven Vs of Big Data. Big Data is a collection of large and complex semi-structured and unstructured data sets that have the potential to deliver actionable insights using traditional data management tools. It also discusses several kinds of data.

Big Data 52

Big Data Hadoop Relational Database AWS 52

ProjectPro

AUGUST 21, 2015

Hadoop vs RDBMS Criteria Hadoop RDBMS Datatypes Processes semi-structured and unstructured data. Processes structured data. Schema Schema on Read Schema on Write Best Fit for Applications Data discovery and Massive Storage/Processing of Unstructured data. are all examples of unstructured data.

Hadoop 40

Hadoop Big Data Metadata Java 40

phData: Data Engineering

SEPTEMBER 27, 2024

Ontologies: The Wise Elder of Your Customer Tribe An ontology is like the wise elder of your customer data tribe. But what exactly is an ontology in the context of customer data management? The Power Couple: Ontologies and Data Catalogs Together Now, here’s where the magic really happens. Those days are gone!

Data 52

Data Raw Data Data Lake Architecture 52