Monte Carlo

APRIL 24, 2023

With our new partnership and updated integration, Monte Carlo provides full, end-to-end coverage across data lake and lakehouse environments powered by Databricks. But remember that line from the introduction about the blurring line between data warehouses and data lakes? AWS is one of the most popular data lake vendors.

Data Lake 52

Data Lake Google Cloud Data Warehouse AWS 52

Knowledge Hut

MARCH 18, 2024

It offers APIs that provide real-time weather data to websites for display. What is Web Service in Cloud Computing? In simple words, web services in cloud computing are linkages that connect one process or program to another over the Internet in cloud computing. It sends XML data in the form of messages.

Cloud Computing 52

Cloud Computing Programming Language Amazon Web Services Transportation 52

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

ProjectPro

JANUARY 24, 2023

With the global cloud data warehousing market likely to be worth $10.42 billion by 2026, cloud data warehousing is now more critical than ever. Cloud data warehouses offer significant benefits to organizations, including faster real-time insights, higher scalability, and lower overhead expenses.

Bytes 52

Bytes Google Cloud Data Warehouse Datasets 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

Monte Carlo

AUGUST 25, 2023

Modern companies are ingesting, storing, transforming, and leveraging more data to drive more decision-making than ever before. At the same time, 81% of IT leaders say their C-suite has mandated no additional spending or a reduction of cloud costs. Teams using a data warehouse usually leverage SQL queries for analytics use cases.

Data Lake 52

Data Lake Data Warehouse Unstructured Data Raw Data 52

AltexSoft

JULY 29, 2022

Today, companies have the opportunity to run Big Data analytics on Hadoop without investing in hardware. They enable you to access the framework functionality in the cloud, typically charging fees per cluster/ per hour. It lets you run MapReduce and Spark jobs on data kept in Google Cloud Storage (instead of HDFS); or.

Hadoop 59

Hadoop Big Data Google Cloud NoSQL 59

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

Rockset

JULY 29, 2022

Google BigQuery BigQuery is Google’s data warehouse service and one of the first cloud data warehouses released to the public. However, the data via its streaming API insert isn’t available for two to three minutes. So, it’s not real-time data. The Snowpipe feature manages continuous data ingestion.

Data Analytics 52

Data Analytics Data Warehouse Datasets Google Cloud 52

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

Monte Carlo

JUNE 14, 2023

Data pipeline architecture typically consisted of hardcoded pipelines that cleaned, normalized, and transformed the data prior to loading into a database using an ETL pattern. With cost and physical compute/storage limitations largely lifted, data engineers started to optimize data pipeline architecture for speed and agility.

Data Pipeline 52

Data Pipeline Architecture Data Lake Data Warehouse 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. Integrate.io

Big Data 52

Big Data Data Analytics MongoDB Big Data Tools 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

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

Ascend.io

AUGUST 31, 2023

In the dynamic world of data, many professionals are still fixated on traditional patterns of data warehousing and ETL, even while their organizations are migrating to the cloud and adopting cloud-native data services. Central to this transformation are two shifts. Let’s take a closer look.

Data Lake 52

Data Lake ETL Tools Data Warehouse Data Pipeline 52

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

ProjectPro

JANUARY 31, 2022

As the demand for big data grows, an increasing number of businesses are turning to cloud data warehouses. The cloud is the only platform to handle today's colossal data volumes because of its flexibility and scalability. Launched in 2014, Snowflake is one of the most popular cloud data solutions on the market.

Architecture 52

Architecture IT Data Warehouse Amazon Web Services 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

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. Snowflake Real-Time Data Warehouse Project for Beginners Snowflake provides a cloud-based analytics and data storage service called "data warehouse-as-a-service."

Big Data 52

Big Data Coding Project Hadoop 52

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. A training course in Online Data Science Certification helps you to expand your skill sets.

Data Engineering 52

Data Engineering Data Engineer Engineering Healthcare 52

ProjectPro

AUGUST 24, 2021

This is an end-to-end big data project for building a data engineering pipeline involving data extraction, data cleansing, data transformation, exploratory analysis , data visualization, data modeling, and data flow orchestration of event data on the cloud.

Data Engineering 52

Data Engineering Data Engineer Coding Project 52

Cloudera

APRIL 2, 2019

A key characteristic of an enterprise data cloud is its ability to run multiple workloads on shared data without encountering “noisy neighbor” problems. 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.

NoSQL 47

NoSQL Google Cloud Hadoop Machine Learning 47

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 72

Data Pipeline Coding Raw Data Accessible 72

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

Rockset

JANUARY 28, 2020

Using Rockset as their prototyping platform, Standard engineers can quickly experiment with different functions on the data. Standard also uses Rockset for fast prototyping because it can be readily accessed as a fully managed cloud service. For feature prototyping, engineers build an experimental API, using the Rockset Node.js

Retail 40

Retail Google Cloud Raw Data Data Lake 40

ProjectPro

NOVEMBER 15, 2021

As per the surveyors, Big data (35 percent), Cloud computing (39 percent), operating systems (33 percent), and the Internet of Things (31 percent) are all expected to be impacted by open source shortly. Following these statistics, big data is set to get bigger with the evolution of open-source projects.

Big Data 52

Big Data Project Metadata Programming Language 52

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

phData: Data Engineering

JULY 18, 2023

With the birth of cloud data warehouses, data applications, and generative AI , processing large volumes of data faster and cheaper is more approachable and desired than ever. First up, let’s dive into the foundation of every Modern Data Stack, a cloud-based data warehouse.

Data Warehouse 52

Data Warehouse Pipeline-centric Government Data 52

Monte Carlo

JANUARY 25, 2023

In an evolving data landscape, the explosion of new tooling solutions—from cloud-based transforms to data observability —has made the question of “build versus buy” increasingly important for data leaders. So, let’s take a look at each in a bit more detail.

Data Warehouse 40

Data Warehouse Building Data Lake Data Storage 40

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

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. Source: Kaggle State of Machine Learning and Data Science Survey.

Machine Learning 59

Machine Learning Deep Learning Algorithm Telecommunication 59

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

ProjectPro

OCTOBER 20, 2021

The orchestration of pipelines can happen on various platforms but are generally integrated with cloud providers such as Microsoft Azure, Amazon Web Services , or Google Cloud Platform at an Enterprise Level. AI Interview Questions and Answers on AI Cloud Services 6) What is an API? 8) What Cloud Service would you prefer?

Machine Learning 52

Machine Learning Algorithm Government Data Science 52

ProjectPro

JULY 27, 2021

Top 100+ Data Engineer Interview Questions and Answers The following sections consist of the top 100+ data engineer interview questions divided based on big data fundamentals, big data tools/technologies, and big data cloud computing platforms. SQL works on data arranged in a predefined schema.

Data Engineering 40

Data Engineering Data Engineer Engineering Hadoop 40