Hepta Analytics

FEBRUARY 14, 2022

DE Zoomcamp 2.2.1 – Introduction to Workflow Orchestration Following last weeks blog , we move to data ingestion. We already had a script that downloaded a csv file, processed the data and pushed the data to postgres database. This week, we got to think about our data ingestion design.

Data Ingestion 52

Data Ingestion Data Engineering Data Engineer Engineering 52

Netflix Tech

MARCH 5, 2019

This operational component places some cognitive load on our engineers, requiring them to develop deep understanding of telemetry and alerting systems, capacity provisioning process, security and reliability best practices, and a vast amount of informal knowledge about the cloud infrastructure.

Cloud 73

Cloud Building Amazon Web Services Metadata 73

Rockset

AUGUST 2, 2023

The Windward Maritime AI platform Lastly, Windward wanted to move their entire platform from batch-based data infrastructure to streaming. In this blog, we’ll describe the new data platform for Windward and how it is API first, enables rapid product iteration and is architected for real-time, streaming data.

Database-centric 52

Database-centric PostgreSQL Transportation Insurance 52

RandomTrees

SEPTEMBER 6, 2020

A combination of structured and semi structured data can be used for analysis and loaded into the cloud database without the need of transforming into a fixed relational scheme first. This stage handles all the aspects of data storage like organization, file size, structure, compression, metadata, statistics.

Cloud Storage 52

Cloud Storage Data Ingestion Data Cleanse Data Warehouse 52

Databand.ai

NOVEMBER 4, 2022

Specifically, Databand collects metadata from all key solutions in the modern data stack, builds a historical baseline based on common data pipeline behavior, alerts on anomalies and rules based on deviations, and resolves through triage by creating smart communication workflows.

Data 52

Data Data Pipeline Retail Metadata 52

Rockset

DECEMBER 22, 2020

We will also need to store this data in Elasticsearch. There are many blog posts detailing how to build an Express API, I’ll concentrate on what is required on top of this to make calls to Elasticsearch. const buildLookup = (map = {}, data, key, inputFieldname, outputFieldname) => { const dataMap = map; data.map((item) => { if (!

SQL 40

SQL Data MongoDB Aggregated Data 40

LinkedIn Engineering

JULY 19, 2023

Open source data lakehouse deployments are built on the foundations of compute engines (like Apache Spark, Trino, Apache Flink), distributed storage (HDFS, cloud blob stores), and metadata catalogs / table formats (like Apache Iceberg, Delta, Hudi, Apache Hive Metastore). Tables are governed as per agreed upon company standards.

Big Data 78

Big Data Data Management Management Metadata 78

Snowflake

NOVEMBER 2, 2023

To give customers flexibility for how they fit Snowflake into their architecture, Iceberg Tables can be configured to use either Snowflake or an external service like AWS Glue as the tables’s catalog to track metadata, with an easy one-line SQL command to convert to Snowflake in a metadata-only operation.

Data Lake 89

Data Lake Data Warehouse Cloud Unstructured Data 89

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 86

Systems Hadoop Metadata Telecommunication 86

Data Engineering Weekly

MARCH 24, 2023

Why should we care about Data Creation Process? All Successful Data-Driven organizations have one thing in common; They have a high-quality & efficient data creation process. Data creation is often the differentiator between the success & the failure of a data team.

Engineering 67

Engineering Data Transportation Database 67

Snowflake

MARCH 30, 2023

Collecting, cleaning, and organizing data into a coherent form for business users to consume are all standard data modeling and data engineering tasks for loading a data warehouse. Based on Tecton blog So is this similar to data engineering pipelines into a data lake/warehouse?

Engineering 82

Engineering Raw Data Data Science Scala 82

Monte Carlo

APRIL 1, 2021

But while the technologies powering our access and analysis of data have matured, the mechanics behind understanding this data in a distributed environment have lagged behind. Here’s where data catalogs fall short and how data discovery platforms and tools can help ensure your data lake doesn’t turn into a data swamp.

Data Lake 52

Data Lake Unstructured Data Data Warehouse Metadata 52

Netflix Tech

DECEMBER 14, 2018

In the previous blog posts in this series, we introduced the N etflix M edia D ata B ase ( NMDB ) and its salient “Media Document” data model. A fundamental requirement for any lasting data system is that it should scale along with the growth of the business applications it wishes to serve.

Media 94

Media Database Metadata Data Schemas 94

ProjectPro

NOVEMBER 22, 2021

StructType is a collection of StructField objects that determines column name, column data type, field nullability, and metadata. PySpark imports the StructType class from pyspark.sql.types to describe the DataFrame's structure. MapReduce Apache Spark Only batch-wise data processing is done using MapReduce.

Hadoop 52

Hadoop Python Datasets Metadata 52

ProjectPro

JANUARY 31, 2023

If you're looking to break into the exciting field of big data or advance your big data career, being well-prepared for big data interview questions is essential. Get ready to expand your knowledge and take your big data career to the next level! But the concern is - how do you become a big data professional?

Big Data 52

Big Data Hadoop AWS Relational Database 52

ProjectPro

NOVEMBER 15, 2021

Table of Contents 20 Open Source Big Data Projects To Contribute How to Contribute to Open Source Big Data Projects? 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.

Big Data 52

Big Data Project Metadata Programming Language 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. Hence, we designed it primarily around the notion of timed events.

Media 54

Media Metadata Data MongoDB 54

Ascend.io

JUNE 8, 2023

However, transforming data into a product so that it can deliver outsized business value requires more than just a mission statement; it requires a solid foundation of technical capabilities and a truly data-centric culture. This multitude of sources often causes a dispersed, complex, and poorly structured data landscape.

Pipeline-centric 52

Pipeline-centric Database-centric Data Ingestion Data Pipeline 52

ProjectPro

JANUARY 31, 2022

Launched in 2014, Snowflake is one of the most popular cloud data solutions on the market. This blog walks you through what does Snowflake do , the various features it offers, the Snowflake architecture, and so much more. Table of Contents Snowflake Overview and Architecture What is Snowflake Data Warehouse?

Architecture 52

Architecture IT Data Warehouse Amazon Web Services 52

Scott Logic

AUGUST 11, 2023

In this context, a document is some structured data, containing a large piece of text (e.g. websites, books, song lyrics, etc) and metadata (e.g. The two methods discussed in this blog post are designed to do this. Embedding involves a tradeoff, to do more pre-processing and use more storage to speed up search at runtime.

Engineering 52

Engineering AWS Datasets Metadata 52

Cloudera

SEPTEMBER 6, 2018

The system must: Ingest, process, analyze, store, and serve all types of AML data, be it structured (database tables), unstructured (contracts, e-mails, etc.), Handle increases in data volume gracefully. It supports a variety of storage engines that can handle raw files, structured data (tables), and unstructured data.

Banking 40

Banking Machine Learning Big Data Scala 40

Cloudera

JANUARY 22, 2019

Today’s data landscape is characterized by exponentially increasing volumes of data, comprising a variety of structured, unstructured, and semi-structured data types originating from an expanding number of disparate data sources located on-premises, in the cloud, and at the edge. Data orchestration.

Big Data 44

Big Data NoSQL Data Lake Hadoop 44

ProjectPro

AUGUST 24, 2021

Data professionals who work with raw data like data engineers, data analysts, machine learning scientists , and machine learning engineers also play a crucial role in any data science project. And, out of these professions, this blog will discuss the data engineering job role.

Data Engineering 52

Data Engineering Data Engineer Coding Project 52

ProjectPro

OCTOBER 20, 2021

It is important to understand how data flows in the real world and what kind of AI interview questions are being discussed across companies. The value of a company lies solely in the interview process. It is a function to find the best model with minimal knowledge or effort from the Data Scientist.

Machine Learning 52

Machine Learning Algorithm Government Data Science 52

ProjectPro

AUGUST 24, 2016

You might have come across several resources that explain HBase architecture and guide you through HBase installation process. However, this blog post focuses on the need for HBase, which data structure is used in HBase, data model and the high level functioning of the components in the apache HBase architecture.

Architecture 40

Architecture IT Hadoop NoSQL 40

ProjectPro

APRIL 4, 2015

” With the increasing demand for Hadoop for Big Data related issues, the prediction by Gartner is ringing true. Of the 3000 Hadoop students that we have trained so far, the most popular blog article request was one on hadoop interview questions. Add the blog links to your resume. Process Unstructured Data.

Hadoop 40

Hadoop Big Data Recruitment Java 40

ProjectPro

DECEMBER 10, 2021

This blog covers the top 50 most frequently asked Azure interview questions and answers. Well, this Azure interview questions and answers blog will help you land your dream cloud computing job role! Worker role (allows apps to run by themselves without using IIS and helps run background processes). So, let's dive right into it!

BI 52

BI Cloud Computing SQL Database 52

ProjectPro

JUNE 23, 2016

So, here’s how ProjectPro helps you get ready for your interview for a Hadoop developer job role.This blog contains commonly asked hadoop mapreduce interview questions and answers that will help you ace your next hadoop job interview. Apache Sqoop is used to provide bidirectional data transfer between Hadoop and RDBMS.

Hadoop 40

Hadoop MySQL Relational Database Java 40

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. Data and Metadata: Data inputs and data outputs produced based on the application logic.

Architecture 122

Architecture Metadata Government Kafka 122

Cloudera

APRIL 1, 2024

We scored the highest in hybrid, intercloud, and multi-cloud capabilities because we are the only vendor in the market with a true hybrid data platform that can run on any cloud including private cloud to deliver a seamless, unified experience for all data, wherever it lies. Increased confidence in data results in trusted AI.

Cloud 101

Cloud Unstructured Data Metadata Datasets 101

phData: Data Engineering

JULY 18, 2023

As an AI and data analytics consulting company, phData is on a mission to become the world leader in delivering data services and products on a modern data platform. Throughout this journey, we’ve helped hundreds of clients achieve eye-opening results by moving to the Modern Data Stack.

Data Warehouse 52

Data Warehouse Pipeline-centric Government Data 52