AltexSoft

FEBRUARY 11, 2023

To get a better understanding of a data architect’s role, let’s clear up what data architecture is. Data architecture is the organization and design of how data is collected, transformed, integrated, stored, and used by a company. Sample of a high-level data architecture blueprint for Azure BI programs.

Data Architect 87

Data Architect Certification Generalist Big Data 87

ProjectPro

OCTOBER 28, 2015

Apache Hadoop is synonymous with big data for its cost-effectiveness and its attribute of scalability for processing petabytes of data. Data analysis using hadoop is just half the battle won. Getting data into the Hadoop cluster plays a critical role in any big data deployment. then you are on the right page.

ETL Tools 52

ETL Tools Hadoop Relational Database Unstructured Data 52

Silectis

JANUARY 3, 2021

Big Data Processing In order to extract value or insights out of big data, one must first process it using big data processing software or frameworks, such as Hadoop. Cassandra A database built by the Apache Foundation. Data Catalog An organized inventory of data assets relying on metadata to help with data management.

Data Engineering 40

Data Engineering Data Engineer Engineering Hadoop 40

Grouparoo

OCTOBER 6, 2021

This provided a nice overview of the breadth of topics that are relevant to data engineering including data warehouses/lakes, pipelines, metadata, security, compliance, quality, and working with other teams. For example, grouping the ones about metadata, discoverability, and column naming might have made a lot of sense.

Data Engineering 52

Data Engineering Data Engineer Engineering Pipeline-centric 52

ProjectPro

AUGUST 24, 2016

Facebook Messenger uses HBase architecture and many other companies like Flurry, Adobe Explorys use HBase in production. In spite of a few rough edges, HBase has become a shining sensation within the white hot Hadoop market. The NOSQL column oriented database has experienced incredible popularity in the last few years.

Architecture 40

Architecture IT Hadoop NoSQL 40

Towards Data Science

MARCH 5, 2024

Photo by Shubham Dhage on Unsplash While data normalization holds merit in traditional relational databases, the paradigm shifts when dealing with modern analytics platforms like BigQuery. If the keys are not enforced and this is not a relational database as we know it, what is the point?

Bytes 69

Bytes Google Cloud Cloud Storage Utilities 69

Knowledge Hut

NOVEMBER 28, 2023

Data engineers need to work with large amounts of data and maintain the architectures used in various data science projects. Python is ubiquitous, which you can use in the backends, streamline data processing, learn how to build effective data architectures, and maintain large data systems. Technical Data Engineer Skills 1.Python

Data Engineering 52

Data Engineering Data Engineer Engineering Generalist 52

AltexSoft

NOVEMBER 23, 2021

This post is a perfect place to learn about this approach, its architecture components, differences, benefits, tools, and more. In many cases, companies choose two-tier architectures, in which source data is first extracted and loaded into a data lake and then undergoes several ETLs to reach purpose-built data warehouses and/or data marts.

Process 69

Process Data Lake Metadata Data Warehouse 69

AltexSoft

MAY 12, 2023

It is commonly stored in relational database management systems (DBMSs) such as SQL Server, Oracle, and MySQL, and is managed by data analysts and database administrators. File systems, data lakes, and Big Data processing frameworks like Hadoop and Spark are often utilized for managing and analyzing unstructured data.

Unstructured Data 59

Unstructured Data NoSQL Hadoop Data Lake 59

ProjectPro

OCTOBER 15, 2014

Pig and Hive are the two key components of the Hadoop ecosystem. What does pig hadoop or hive hadoop solve? Pig hadoop and Hive hadoop have a similar goal- they are tools that ease the complexity of writing complex java MapReduce programs. Apache HIVE and Apache PIG components of the Hadoop ecosystem are briefed.

Hadoop 52

Hadoop Unstructured Data Java SQL 52

ProjectPro

AUGUST 11, 2021

Data Warehouse Architecture What is a Data lake? Is Hadoop a data lake or data warehouse? Data Warehouse Architecture The Data Warehouse Architecture essentially consists of the following layers: Source Layer: Data warehouses collect data from multiple, heterogeneous sources. Is Snowflake a data lake or data warehouse?

Data Lake 52

Data Lake Data Warehouse Cloud Hadoop 52

AltexSoft

MARCH 14, 2023

In this article, we will explore what a modern data stack is, how it’s different from traditional data stacks, the key components composing an MDS architecture, and examples of companies successfully implementing such solutions. Modern data stack architecture. Actually, there are even more points, but you’ll see that.

IT 59

IT Data Warehouse Data Governance Data Lake 59

AltexSoft

SEPTEMBER 21, 2023

How Elasticsearch works: Core concepts The architecture of Elasticsearch is built to be distributed, meaning its capabilities, including storing data, executing searches, and processing analytics, are not limited to a single machine or server. Key components of the Elasticsearch architecture.

Engineering 52

Engineering NoSQL Programming Language Java 52

ProjectPro

NOVEMBER 15, 2021

Apache Spark is also quite versatile, and it can run on a standalone cluster mode or Hadoop YARN , EC2, Mesos, Kubernetes, etc. You can also access data through non-relational databases such as Apache Cassandra, Apache HBase, Apache Hive, and others like the Hadoop Distributed File System.

Big Data 52

Big Data Project Metadata Programming Language 52

AltexSoft

OCTOBER 8, 2021

With Big Data becoming a big deal in any industry, all tools provide a scalable data integration architecture and utilize powerful parallel processing technology for better scalability and performance. The product integrates with other Oracle applications including Oracle GoldenGate, Oracle Fusion Middleware, Oracle Database, and others.

Data Integration 52

Data Integration Hadoop Data Warehouse Data Lake 52

AltexSoft

JUNE 26, 2023

Luckily, the situation has been gradually changing for the better with the evolution of big data tools and storage architectures capable of handling large datasets, no matter their type (we’ll discuss different types of data repositories later on.) No wonder only 0.5 percent of this potentially high-valued asset is being used.

Data Collection 52

Data Collection Machine Learning Unstructured Data Non-relational Database 52

Knowledge Hut

SEPTEMBER 29, 2023

You must have a solid grasp of ideas in parallel processing, data architecture, and data computation languages like SQL, Python, or Scala in order to become a Microsoft Certified Azure Data Engineer. Relational databases, nonrelational databases, data streams, and file stores are some examples of the data platforms they use.

Certification 52

Certification Data Engineering Data Engineer Engineering 52

ProjectPro

NOVEMBER 22, 2021

It's easier to use Python's expressiveness to modify data in tabular format, thanks to PySpark's DataFrame API architecture. StructType is a collection of StructField objects that determines column name, column data type, field nullability, and metadata. We can store the data and metadata in a checkpointing directory.

Hadoop 52

Hadoop Python Datasets Metadata 52

ProjectPro

JUNE 23, 2016

Hadoop job interview is a tough road to cross with many pitfalls, that can make good opportunities fall off the edge. One, often over-looked part of Hadoop job interview is - thorough preparation. Needless to say, you are confident that you are going to nail this Hadoop job interview. directly into HDFS or Hive or HBase.

Hadoop 40

Hadoop MySQL Relational Database Java 40

Netflix Tech

DECEMBER 14, 2018

In this post we will provide details of the NMDB system architecture beginning with the system requirements?—?these these will serve as the necessary motivation for the architectural choices we made. In NMDB we think of the media metadata universe in units of “DataStores”. while different types of media analyses (e.g.,

Media 94

Media Database Metadata Data Schemas 94

ProjectPro

JULY 30, 2021

Building data storage and computing architecture locally were getting more expensive during the advent of Big Data technologies. The basic underlying principle behind Cloud Computing and its architecture is no rocket science. What are the component layers found in Cloud architecture? What is Cloud Computing?

Cloud Computing 40

Cloud Computing Cloud Amazon Web Services AWS 40

ProjectPro

AUGUST 9, 2018

Which instance will you use for deploying a 4-node Hadoop cluster in AWS? Amazon Redshift Logs: Amazon Redshift logs collect and record information concerning database connections, any changes to user definitions, and activity. The logs can be used for security monitoring and troubleshooting any database-related issues.

AWS 40

AWS Amazon Web Services Cloud Computing Database 40