Netflix Tech

DECEMBER 14, 2018

data access semantics that guarantee repeatable data read behavior for client applications. System Requirements Support for Structured Data The growth of NoSQL databases has broadly been accompanied with the trend of data “schemalessness” (e.g., key value stores generally allow storing any data under a key).

Media 99

Media Database Metadata Data Schemas 99

Cloudera

SEPTEMBER 9, 2021

The CDP Operational Database ( COD ) builds on the foundation of existing operational database capabilities that were available with Apache HBase and/or Apache Phoenix in legacy CDH and HDP deployments. Cloudera Machine Learning or Cloudera Data Warehouse), to deliver fast data and analytics to downstream components.

Database 95

Database AWS Relational Database Cloud 95

Knowledge Hut

MARCH 14, 2024

Do you want a database system that can scale quickly and manage heavy workloads? Should that be the case, Azure SQL Database might be your best bet. Microsoft SQL Server's functionalities are fully included in Azure SQL Database, a cloud-based database service that also offers greater flexibility and scalability.

Database 52

Database SQL Relational Database BI 52

Knowledge Hut

JULY 24, 2023

The future of SQL (Structured Query Language) is a scalding subject among professionals in the data-driven world. As data generation continues to skyrocket, the demand for real-time decision-making, data processing, and analysis increases. According to recent studies, the global database market will grow from USD 63.4

Database 52

Database SQL Process NoSQL 52

phData: Data Engineering

NOVEMBER 8, 2024

The world we live in today presents larger datasets, more complex data, and diverse needs, all of which call for efficient, scalable data systems. Though basic and easy to use, traditional table storage formats struggle to keep up. Track data files within the table along with their column statistics. Contact phData Today!

Architecture 52

Architecture Systems Data Lake Google Cloud 52

Striim

MARCH 21, 2025

A streaming ETL for Snowflake approach loads data to Snowflake from diverse sources such as transactional databases, security systems logs, and IoT sensors/devices in real time , while simultaneously meeting scalability, latency, security, and reliability requirements.

Data Warehouse 52

Data Warehouse MongoDB MySQL Hadoop 52

Monte Carlo

AUGUST 15, 2023

These use cases are typically the first and easiest behavior shift for data teams once they enter the cloud. They are: Moving from ETL to ELT to accelerate time-to-insight You can’t just load anything into your on-premise database– especially not if you want a query to return before you hit the weekend.

Data Storage 88

Data Storage Cloud Metadata Machine Learning 88

Monte Carlo

OCTOBER 31, 2024

The foundational skills are similar between traditional data engineers and AI data engineers are similar, with AI data engineers more heavily focused on machine learning data infrastructure, AI-specific tools, vector databases, and LLM pipelines. Let’s dive into the tools necessary to become an AI data engineer.

Data Engineering 52

Data Engineering Data Engineer Engineering Unstructured Data 52

Christophe Blefari

JUNE 21, 2024

Both companies have added Data and AI to their slogan, Snowflake used to be The Data Cloud and now they're The AI Data Cloud. A UX where you buy a single tool combining engine and storage, where all you have to do is flow data in, write SQL, and it's done. —with Databricks you buy an engine.

Metadata 147

Metadata Data Warehouse BI MySQL 147

Christophe Blefari

JUNE 16, 2023

I'm now under the Berlin rain with 20° When I write in these conditions I feel like a tortured author writing a depressing novel while actually today I'll speak about the AI Act, Python, SQL and data platforms. The ultimate SQL guide — After the last canva on data interviews, here's a canva to learn SQL.

Programming Language 130

Programming Language SQL PostgreSQL Data 130

Grouparoo

DECEMBER 26, 2021

For data storage, the database is one of the fundamental building blocks. There are many kinds of databases available, each with its strengths and weaknesses. In this article, we’ll look at what are the different types of databases and which is the most common.

Database 52

Database NoSQL Relational Database Data Storage 52

Data Engineering Podcast

JUNE 10, 2018

Summary With the increased ease of gaining access to servers in data centers across the world has come the need for supporting globally distributed data storage. With the first wave of cloud era databases the ability to replicate information geographically came at the expense of transactions and familiar query languages.

PostgreSQL 100

PostgreSQL NoSQL Relational Database SQL 100

Knowledge Hut

MARCH 27, 2024

Think of a database as a smart, organized library that stores and manages information efficiently. On the other hand, data structures are like the tools that help organize and arrange data within a computer program. What is a Database? SQL, or structured query language, is widely used for writing and querying data.

Database 52

Database Relational Database Algorithm Data Storage 52

Cloudyard

JANUARY 21, 2025

As new data comes in on day 2, we may have additional columns like PHONE and EMAIL. Handling Parquet Data with Schema Evolution Let’s now look at how schema evolution works with Parquet files. Parquet is a columnar storage format, often used for its efficient data storage and retrieval.

Data Schemas 59

Data Schemas Data Pipeline Data Warehouse Data Storage 59

Christophe Blefari

NOVEMBER 11, 2022

Kovid wrote an article that tries to explain what are the ingredients of a data warehouse. A data warehouse is a piece of technology that acts on 3 ideas: the data modeling, the data storage and processing engine. It looks like a Google Sheets on steroids for data. And he does it well. See you next week.

BI 130

BI Data Warehouse Data Database 130

Hevo

APRIL 27, 2023

Are you struggling to manage and analyze your data effectively? This is where cloud-based data storage solutions like Azure Synapse Analytics and Azure SQL Database come into play.

SQL 52

SQL Data Storage Database Cloud 52

Knowledge Hut

JULY 24, 2023

In this digital age, data is king, and how we manage, analyze, and harness its power is constantly evolving. Database management, once confined to IT departments, has become a strategic cornerstone for businesses across industries. In this blog, we will talk about the future of database management.

Database 52

Database NoSQL Management Relational Database 52

Data Engineering Podcast

AUGUST 14, 2021

The data you’re looking for is already in your data warehouse and BI tools. Connect your warehouse to Hightouch, paste a SQL query, and use their visual mapper to specify how data should appear in your SaaS systems. No more scripts, just SQL. No more scripts, just SQL.

Unstructured Data 100

Unstructured Data Machine Learning Data Lake SQL 100

Christophe Blefari

SEPTEMBER 25, 2023

A guide to the Snowflake results cache — Cache is a critical piece to every data warehouse either for reusing data between runs or between stages in the same run. Use the new SQL commands MERGE and QUALIFY in Redshift — Redshift still exists and tries to catches with the competition. Tabular raised $26m Series B.

Data 130

Data Data Warehouse Data Storage Cloud 130

Christophe Blefari

SEPTEMBER 25, 2023

A guide to the Snowflake results cache — Cache is a critical piece to every data warehouse either for reusing data between runs or between stages in the same run. Use the new SQL commands MERGE and QUALIFY in Redshift — Redshift still exists and tries to catches with the competition. Tabular raised $26m Series B.

Data 130

Data Data Warehouse Data Storage Cloud 130

Knowledge Hut

MARCH 12, 2024

SQL databases are one of the most widely used types of database systems available. SQL is a structured query language that these databases enable users to utilize for data management, retrieval, and storage. A number of SQL databases are available. What is SQL?

SQL 52

SQL Relational Database PostgreSQL MySQL 52

Ascend.io

NOVEMBER 14, 2024

Ensure the provider supports the infrastructure necessary for your data needs, such as managed databases, storage, and data pipeline services. Utilize Cloud-Native Tools: Leverage cloud-native data pipeline tools like Ascend to build and orchestrate scalable workflows.

Data Pipeline 52

Data Pipeline Amazon Web Services Data Integration Data 52

Towards Data Science

DECEMBER 1, 2023

Storage —  Snowflake Snowflake, a cloud-based data warehouse tailored for analytical needs, will serve as our data storage solution. The data volume we will deal with is small, so we will not try to overkill with data partitioning, time travel, Snowpark, and other Snowflake advanced capabilities.

Data Engineering 97

Data Engineering Data Engineer Project Engineering 97

Knowledge Hut

APRIL 25, 2024

Each of these technologies has its own strengths and weaknesses, but all of them can be used to gain insights from large data sets. As organizations continue to generate more and more data, big data technologies will become increasingly essential. Let's explore the technologies available for big data.

Big Data 98

Big Data Technology Hadoop NoSQL 98

Knowledge Hut

SEPTEMBER 6, 2023

Back when I studied Computer Science in the early 2000s, databases like MS Access and Oracle ruled. The rise of big data and NoSQL changed the game. Systems evolved from simple to complex, and we had to split how we find data from where we store it. What Is a Database? Now, it's different. Let’s begin!

Certification 52

Certification Database MongoDB MySQL 52

ProjectPro

SEPTEMBER 16, 2021

NoSQL databases are the new-age solutions to distributed unstructured data storage and processing. The speed, scalability, and fail-over safety offered by NoSQL databases are needed in the current times in the wake of Big Data Analytics and Data Science technologies.

NoSQL 52

NoSQL Database Hadoop Big Data 52

ProjectPro

DECEMBER 17, 2021

All this data is stored in a database that requires SQL-based queries for retrieval and transformations, making it essential for every data professional to learn SQL for data science and machine learning. Table of Contents Why SQL for Data Science? What is SQL? Why SQL for Data Science?

Data Science 52

Data Science SQL NoSQL Programming Language 52

Striim

SEPTEMBER 11, 2024

The ingestion layer supports multiple data types and formats, including: Batch Data: Data collected and processed in discrete chunks, typically from static sources such as databases or logs. Data storage Data storage follows. Historically, batch processing was sufficient for many use cases.

Data Pipeline 98

Data Pipeline Designing Data Lake Data Warehouse 98

Data Engineering Podcast

FEBRUARY 27, 2022

Atlan is a collaborative workspace for data-driven teams, like Github for engineering or Figma for design teams. If you’re a data engineering podcast listener, you get credits worth $3000 on an annual subscription TimescaleDB, from your friends at Timescale, is the leading open-source relational database with support for time-series data.

Designing 100

Designing Metadata Data Lake Relational Database 100

Knowledge Hut

DECEMBER 26, 2023

According to the World Economic Forum, the amount of data generated per day will reach 463 exabytes (1 exabyte = 10 9 gigabytes) globally by the year 2025. Certain roles like Data Scientists require a good knowledge of coding compared to other roles. They are also responsible for improving the performance of data pipelines.

Data Science 97

Data Science BI Machine Learning Business Intelligence 97

Data Engineering Weekly

JUNE 10, 2024

link] Open AI: Model Spec LLM models are slowly emerging as the intelligent data storage layer. Similar to how data modeling techniques emerged during the burst of relation databases, we started to see similar strategies for fine-tuning and prompt templates. Will they co-exist or fight with each other?

Data Engineering 103

Data Engineering Data Engineer Engineering Kafka 103

Knowledge Hut

JULY 26, 2023

Database applications have become vital in current business environments because they enable effective data management, integration, privacy, collaboration, analysis, and reporting. Database applications also help in data-driven decision-making by providing data analysis and reporting tools.

Database 52

Database NoSQL MongoDB Telecommunication 52

AltexSoft

JUNE 7, 2021

Master Nodes control and coordinate two key functions of Hadoop: data storage and parallel processing of data. Worker or Slave Nodes are the majority of nodes used to store data and run computations according to instructions from a master node. Data storage options. Data access options.

Big Data Tools 98

Big Data Tools Hadoop Big Data Database-centric 98

Knowledge Hut

FEBRUARY 29, 2024

Learning inferential statistics website: wallstreetmojo.com, kdnuggets.com Learning Hypothesis testing website: stattrek.com Start learning database design and SQL. A database is a structured data collection that is stored and accessed electronically. Considering this information database model is fitted with data.

Data Science 98

Data Science Datasets Machine Learning Database Design 98

Knowledge Hut

JANUARY 18, 2024

BI developers must use cloud-based platforms to design, prototype, and manage complex data. To pursue a career in BI development, one must have a strong understanding of data mining, data warehouse design, and SQL. Roles and Responsibilities Write data collection and processing procedures.

Data Science 98

Data Science Business Analyst Data Architect ETL Method 98

Knowledge Hut

MAY 31, 2023

This is where database management systems come in handy. A database management system (DBMS) is a software system that helps organize, store and manage information efficiently. If you want to learn more about databases, check out Knowledgehut Database course. So, let's look at some top database project ideas.

Database 52

Database Coding MongoDB Project 52

Hevo

DECEMBER 29, 2023

Microsoft SQL Server, an RDBMS popular for its robust database management capabilities, offers a diverse range of data types to cater to varied data storage needs. However, data practitioners experience a variety of challenges related to the SQL Server data types.

SQL 40

SQL Data Storage Data Database 40