AltexSoft

MAY 12, 2023

What is unstructured data? Definition and examples Unstructured data , in its simplest form, refers to any data that does not have a pre-defined structure or organization. It can come in different forms, such as text documents, emails, images, videos, social media posts, sensor data, etc.

Unstructured Data 59

Unstructured Data NoSQL Hadoop Data Lake 59

Monte Carlo

APRIL 24, 2023

AWS is one of the most popular data lake vendors. AWS Lake Formation offers an alternative for data teams looking for a more structured data lake or data lakehouse solution. This is a lot of work and for most companies, it takes them several months to set up a data lake.

Data Lake 52

Data Lake Google Cloud Data Warehouse AWS 52

ProjectPro

JANUARY 24, 2023

Since its public release in 2011, BigQuery has been marketed as a unique analytics cloud data warehouse tool that requires no virtual machines or hardware resources. BigQuery is a highly scalable data warehouse platform with a built-in query engine offered by Google Cloud Platform. What is Google BigQuery Used for?

Bytes 52

Bytes Google Cloud Data Warehouse Datasets 52

Knowledge Hut

MARCH 18, 2024

It is a message protocol specification for exchanging structured data. It sends XML data in the form of messages. The message in XML data has 4 parts: Envelope, Header, Body and Fault. To know more about this, do join this Cloud Computing online training. They are widely used in enterprise-level applications.

Cloud Computing 52

Cloud Computing Programming Language Amazon Web Services Transportation 52

AltexSoft

MARCH 30, 2023

What is Databricks Databricks is an analytics platform with a unified set of tools for data engineering, data management , data science, and machine learning. It combines the best elements of a data warehouse, a centralized repository for structured data, and a data lake used to host large amounts of raw data.

Scala 64

Scala Data Lake BI Google Cloud 64

Data Engineering Podcast

FEBRUARY 3, 2019

Open Context is an open access data publishing service for archaeology. It started because we need better ways of dissminating structured data and digital media than is possible with conventional articles, books and reports. What are your protocols for determining which data sets you will work with?

Digital Media 100

Digital Media Media PostgreSQL Datasets 100

Monte Carlo

AUGUST 25, 2023

Understanding data warehouses A data warehouse is a consolidated storage unit and processing hub for your data. Teams using a data warehouse usually leverage SQL queries for analytics use cases. This same structure aids in maintaining data quality and simplifies how users interact with and understand the data.

Data Lake 52

Data Lake Data Warehouse Unstructured Data Raw Data 52

AltexSoft

JULY 29, 2022

It lets you run MapReduce and Spark jobs on data kept in Google Cloud Storage (instead of HDFS); or. Oracle Big Data Service , offering customers a fully-managed Hadoop environment in the cloud. Snowflake: an evolving ecosystem for all types of data. Google Cloud Platform: a relative of Apache Hadoop.

Hadoop 59

Hadoop Big Data Google Cloud NoSQL 59

Data Engineering Weekly

FEBRUARY 12, 2023

Etsy writes about resiliency engineering for Kafka infrastructure, adding Zonal resilience in Google Cloud. Part 1: [link] Part 2: [link] Sponsored: Upsolver - Write a SQL Query, Get a Data-in-Motion Pipeline! Pipelines for data in motion can quickly turn into DAG hell. link] Bruce Momjian: Will Postgres live forever?

Data Engineering 52

Data Engineering Data Engineer Engineering Hadoop 52

Towards Data Science

MAY 14, 2024

Typically, as shown in the image above, Dataform takes raw data, transform it with all the engineering best practices and output a properly structured data ready for consumption. It is a serverless, SQL workflow orchestration workhorse within GCP.

Data Pipeline 68

Data Pipeline Coding Raw Data Accessible 68

Rockset

JULY 29, 2022

This fast, serverless, highly scalable, and cost-effective multi-cloud data warehouse has built-in machine learning, business intelligence, and geospatial analysis capabilities for querying massive amounts of structured and semi-structured data. The Snowpipe feature manages continuous data ingestion.

Data Analytics 52

Data Analytics Data Warehouse Datasets Google Cloud 52

AltexSoft

JUNE 29, 2021

Data-related expertise. Data is at the core of machine learning. So, a good machine learning engineer is well versed in data structures, data modeling, and database management systems. Machine Learning and Artificial Intelligence on Google Cloud. Proficiency with ML frameworks and libraries.

Machine Learning 105

Machine Learning Engineering Algorithm Programming Language 105

Hepta Analytics

FEBRUARY 14, 2022

Disadvantages of a data lake are: Can easily become a data swamp data has no versioning Same data with incompatible schemas is a problem without versioning Has no metadata associated It is difficult to join the data Data warehouse stores processed data, mostly structured data.

Data Ingestion 52

Data Ingestion Data Engineering Data Engineer Engineering 52

Knowledge Hut

JUNE 16, 2023

Data preparation: Because of flaws, redundancy, missing numbers, and other issues, data gathered from numerous sources is always in a raw format. After the data has been extracted, data analysts must transform the unstructured data into structured data by fixing data errors, removing unnecessary data, and identifying potential data.

Programming Language 52

Programming Language Cloud Computing Data Preparation Data Science 52

Knowledge Hut

MARCH 27, 2024

Qubole Using ad-hoc analysis in machine learning, it fetches data from a value chain using open-source technology for big data analytics. Qubole provides end-to-end services in moving data pipelines with reduced time and effort. Configure Azure, AWS, and Google Cloud services simultaneously.

Big Data 52

Big Data Data Analytics MongoDB Big Data Tools 52

Monte Carlo

JUNE 14, 2023

Data transformation dbt – Short for data build tool, is the open source leader for transforming data once it’s loaded into your warehouse. Dataform – Now part of the Google Cloud , Dataform allows you to transform raw data from your warehouse into something usable by BI and analytics tools.

Data Pipeline 52

Data Pipeline Architecture Data Lake Data Warehouse 52

ProjectPro

MAY 31, 2021

This project will teach you how to design and implement an event-based data integration pipeline on the Google Cloud Platform by processing data using DataFlow. MLOps on GCP Project for Autoregression using uWSGI Flask Here is a project that combines Machine Learning Operations (MLOps) and Google Cloud Platform (GCP).

Big Data 52

Big Data Coding Project Hadoop 52

Cloudera

APRIL 2, 2019

HBase is a distributed, scalable NoSQL database that enterprises use to power applications that need random, real time read/write access to semi-structured data. For more information learn how to get data insights faster from bigger workloads with Intel® Optane DC persistent memory.

NoSQL 47

NoSQL Google Cloud Hadoop Machine Learning 47

Knowledge Hut

FEBRUARY 16, 2023

After the inception of databases like Hadoop and NoSQL, there's a constant rise in the requirement for processing unstructured or semi-structured data. Data Engineers are responsible for these tasks. Therefore we will stick to demand in the USA.

Data Engineering 52

Data Engineering Data Engineer Engineering Healthcare 52

Ascend.io

AUGUST 31, 2023

There are a range of tools dedicated to just the extraction (“E”) function to land data in any type of data warehouse or data lake. Once in place, any transformations on the data are performed directly in the data lake on demand as different analytical tasks come up.

Data Lake 52

Data Lake ETL Tools Data Warehouse Data Pipeline 52

Rockset

JANUARY 28, 2020

Once a feature is mature, it is converted to a serverless function, using Google Cloud Functions, in their online production system in order to present data as an API to developers. For feature prototyping, engineers build an experimental API, using the Rockset Node.js client , that is refined over multiple iterations.

Retail 40

Retail Google Cloud Raw Data Data Lake 40

AltexSoft

JULY 19, 2022

So, to avoid any confusion, please be aware that data mesh is NOT. a data fabric, which is a single environment consisting of a unified architecture, and services or technologies running on that architecture. The data mesh allowed both technical and operational teams to work hand in hand to achieve shared success.

Architecture 52

Architecture Data Lake Medical Datasets 52

ProjectPro

JANUARY 31, 2022

Snowflake meets its users where they are most at ease, reducing the need to transfer data over the internet from their cloud environment to Snowflake. Amazon Web Services , Google Cloud Platform, and Microsoft Azure support Snowflake.

Architecture 52

Architecture IT Data Warehouse Amazon Web Services 52

Monte Carlo

MARCH 14, 2023

Discovering the data mesh BlaBlaCar’s data stack was built to support their end goal of supporting self service analytics at scale. BlaBlaCar has been a data-driven company for a long time. Across their tech stack and team structures, data observability will continue to play a key role. Image courtesy of BlaBlaCar.

Transportation 40

Transportation Government Google Cloud Architecture 40

AltexSoft

NOVEMBER 1, 2023

NER for structuring unstructured data NER plays a pivotal role in converting unstructured text into structured data. Google Cloud NLP is Google’s cloud offering for natural language processing tasks, which includes a robust named entity recognition system that can identify and classify entities within text.

Deep Learning 52

Deep Learning Machine Learning Datasets Algorithm 52

ProjectPro

NOVEMBER 25, 2021

Although businesses have an inclination towards structured data for insight generation and decision-making, text data is one of the vital information generated from digital platforms. However, it is not straightforward to extract or derive insights from a colossal amount of text data.

Machine Learning 52

Machine Learning Algorithm Datasets Google Cloud 52

ProjectPro

AUGUST 24, 2021

Source Code: Event Data Analysis using AWS ELK Stack 5) Data Ingestion This project involves data ingestion and processing pipeline with real-time streaming and batch loads on the Google cloud platform (GCP). Create a service account on GCP and download Google Cloud SDK(Software developer kit).

Data Engineering 52

Data Engineering Data Engineer Coding Project 52

ProjectPro

NOVEMBER 15, 2021

20 Open Source Big Data Projects To Contribute There are thousands of open-source projects in action today. This blog will walk through the most popular and fascinating open source big data projects. Apache Beam Source: Google Cloud Platform Apache Beam is an advanced unified programming open-source model launched in 2016.

Big Data 52

Big Data Project Metadata Programming Language 52

Confluent

OCTOBER 3, 2019

We recently launched a new artificial intelligence (AI) data extraction API called Scrapinghub AutoExtract , which turns article and product pages into structured data. At Scrapinghub, we specialize in web data extraction , and our products empower everyone from programmers to CEOs to extract web data quickly and effectively.

Kafka 15

Kafka Cloud Amazon Web Services Google Cloud 15

ProjectPro

AUGUST 18, 2021

. · Tableau also provides a data blending facility. Which Tableau data types are preferable while dealing with structured data? We can prefer using Text (string) values and numerical values as the two popular data types while dealing with structured data in Tableau.

BI 40

BI Database-centric SQL Software Engineer 40

AltexSoft

DECEMBER 15, 2021

The technology supports tabular, image, text, and video data, and also comes with an easy-to-use drag-and-drop tool to engage people without ML expertise. For data scientist, it has an integrated Jupyter Notebook environment. Source: Google Cloud Blog. Why and when do you critically need data scientists?

Machine Learning 59

Machine Learning Deep Learning Algorithm Telecommunication 59

Monte Carlo

JANUARY 25, 2023

Image courtesy of Databricks Data warehouse A data warehouse provides data storage and compute for structured data that’s been processed for a defined purpose. Like our build versus buy decisions, which of these three you choose will depend almost entirely on how you plan to use it.

Data Warehouse 40

Data Warehouse Building Data Lake Data Storage 40

ProjectPro

JULY 27, 2021

Relational Database Management Systems (RDBMS) Non-relational Database Management Systems Relational Databases primarily work with structured data using SQL (Structured Query Language). SQL works on data arranged in a predefined schema. Non-relational databases support dynamic schema for unstructured data.

Data Engineering 40

Data Engineering Data Engineer Engineering Hadoop 40

ProjectPro

OCTOBER 20, 2021

This would include the automation of a standard machine learning workflow which would include the steps of Gathering the data Preparing the Data Training Evaluation Testing Deployment and Prediction This includes the automation of tasks such as Hyperparameter Optimization, Model Selection, and Feature Selection.

Machine Learning 52

Machine Learning Algorithm Government Data Science 52

phData: Data Engineering

JULY 18, 2023

Demands on the cloud data warehouse are also evolving to require it to become more of an all-in-one platform for an organization’s analytics needs. Enter Snowflake The Snowflake Data Cloud is one of the most popular and powerful CDW providers.

Data Warehouse 52

Data Warehouse Pipeline-centric Government Data 52