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

In addition to log files, sensors, and messaging systems, Striim continuously ingests real-time data from cloud-based or on-premises data warehouses and databases such as Oracle, Oracle Exadata, Teradata, Netezza, Amazon Redshift, SQL Server, HPE NonStop, MongoDB, and MySQL.

Data Warehouse 52

Data Warehouse MongoDB MySQL Hadoop 52

Monte Carlo

OCTOBER 31, 2024

Proficiency in Programming Languages Knowledge of programming languages is a must for AI data engineers and traditional data engineers alike. In addition, AI data engineers should be familiar with programming languages such as Python , Java, Scala, and more for data pipeline, data lineage, and AI model development.

Data Engineer 52

Data Engineer Data Engineering Engineering Unstructured Data 52

The Pragmatic Engineer

JUNE 13, 2023

Agoda co-locates in all data centers, leasing space for its racks and the largest data center consumes about 1 MW of power. It uses Spark for the data platform. For transactional databases, it’s mostly the Microsoft SQL Server, but also other databases like PostgreSQL, ScyllaDB and Couchbase.

Cloud 242

Cloud Database Utilities BI 242

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

Cloudera

JANUARY 6, 2021

Python is used extensively among Data Engineers and Data Scientists to solve all sorts of problems from ETL/ELT pipelines to building machine learning models. Apache HBase is an effective data storage system for many workflows but accessing this data specifically through Python can be a struggle.

Machine Learning 133

Machine Learning Data Science Database Building 133

Hevo

SEPTEMBER 22, 2023

Google Cloud SQL for PostgreSQL, a part of Google’s robust cloud ecosystem, offers businesses a dependable solution for managing relational data. However, with the expanding need for advanced data analytics, it is required to integrate data storage and processing platforms like Snowflake.

Google Cloud 52

Google Cloud PostgreSQL SQL Cloud 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. To address these shortcomings the engineers at Cockroach Labs have built a globally distributed SQL database with full ACID semantics in Cockroach DB.

PostgreSQL 100

PostgreSQL NoSQL Relational Database SQL 100

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? However SQLite is one of the most widely used.

SQL 52

SQL Relational Database PostgreSQL MySQL 52

Cloudyard

JANUARY 21, 2025

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. We create a table Accessory_parquet and load data from the Parquet file Accessory_day1.parquet

Data Schemas 59

Data Schemas Data Pipeline Data Warehouse Data Storage 59

Knowledge Hut

MARCH 14, 2024

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. In this article, I will cover the various aspects of Azure SQL Database.

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. How is SQL Being Utilized? billion in 2022 to $154.6

Database 52

Database SQL Process NoSQL 52

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. Amazon did a first $1.3b

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. Amazon did a first $1.3b

Data 130

Data Data Warehouse Data Storage Cloud 130

Monte Carlo

NOVEMBER 21, 2024

This approach is fantastic when you’re not quite sure how you’ll need to use the data later, or when different teams might need to transform it in different ways. It’s more flexible than ETL and works great with the low cost of modern data storage. The data lakehouse has got you covered!

Data Pipeline 52

Data Pipeline Designing Lambda Architecture Kafka 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

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

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? On the time will tell us.

Data Engineering 103

Data Engineering Data Engineer Engineering Kafka 103

Data Engineering Podcast

NOVEMBER 22, 2017

To help other people find the show you can leave a review on iTunes , or Google Play Music , and tell your friends and co-workers This is your host Tobias Macey and today I’m interviewing Julien Le Dem and Doug Cutting about data serialization formats and how to pick the right one for your systems.

Hadoop 100

Hadoop Data Storage Data Pipeline Data Engineering 100

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

Hevo

APRIL 12, 2024

This data can be thoroughly analyzed to gain valuable insights that optimize business performance. There are various tools and platforms that facilitate data storage and analysis. Moving your SQL […]

SQL 40

SQL Data Storage Data Data Integration 40

Towards Data Science

NOVEMBER 6, 2024

Spark has long allowed to run SQL queries on a remote Thrift JDBC server. The appropriate Spark dependencies (spark-core/spark-sql or spark-connect-client-jvm) will be provided later in the Java classpath, depending on the run mode. This technology can offer some benefits to Spark applications that use the DataFrame API.

Scala 75

Scala Java AWS Coding 75

Snowflake

NOVEMBER 29, 2023

For example, the data storage systems and processing pipelines that capture information from genomic sequencing instruments are very different from those that capture the clinical characteristics of a patient from a site. A conceptual architecture illustrating this is shown in Figure 3.

Metadata 109

Metadata Healthcare Medical Data Storage 109

Christophe Blefari

JANUARY 20, 2024

The Rise of the Data Engineer The Downfall of the Data Engineer Functional Data Engineering — a modern paradigm for batch data processing There is a global consensus stating that you need to master a programming language (Python or Java based) and SQL in order to be self-sufficient.

Data Engineer 130

Data Engineer Data Engineering Engineering Hadoop 130

Ascend.io

NOVEMBER 14, 2024

Snowflake and Azure Synapse offer powerful data warehousing solutions that simplify data integration and analysis by providing elastic scaling and optimized query performance. These techniques minimize the amount of data that needs to be processed at any given time, leading to significant cost savings.

Data Pipeline 52

Data Pipeline Amazon Web Services Data Integration Data 52

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

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

Data Engineering Podcast

FEBRUARY 27, 2022

Atlan is a collaborative workspace for data-driven teams, like Github for engineering or Figma for design teams. Data integration (extract and load) What are your data sources? Batch or streaming (acceptable latencies) Data storage (lake or warehouse) How is the data going to be used?

Designing 100

Designing Metadata Data Lake Relational Database 100

Striim

SEPTEMBER 11, 2024

Striim, for instance, facilitates the seamless integration of real-time streaming data from various sources, ensuring that it is continuously captured and delivered to big data storage targets. Data storage Data storage follows.

Data Pipeline 98

Data Pipeline Designing Data Lake Data Warehouse 98

Snowflake

JUNE 5, 2024

It serves another end of the business, as compared to the Snowflake Copilot assistant, which helps SQL developers accelerate development from inside the Snowflake UI by turning text into SQL. With Cortex Fine-Tuning, you can fine-tune by calling an API or SQL function, all without the hassle of managing any infrastructure.

Coding 112

Coding Building Management Government 112

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. Delivering the fast news ( credits ) Data Fundraising 💰 Equals raises $16m Series A.

BI 130

BI Data Warehouse Data Database 130

Cloudera

MAY 30, 2024

This openness promotes collaboration and innovation by empowering data scientists, analysts, and developers to leverage their preferred tools and methodologies for exploring, analyzing, and deriving insights from data.

Data Lake 74

Data Lake Data Warehouse Programming Language Data Ingestion 74

Data Engineering Podcast

SEPTEMBER 12, 2021

Atlan is a collaborative workspace for data-driven teams, like Github for engineering or Figma for design teams. What are some of the challenges that you and the Cassandra community have faced with the flurry of new data storage and processing systems that have popped up over the past few years?

Database 100

Database Kafka Metadata Data Storage 100

Rockset

SEPTEMBER 13, 2022

This is a common practice with SQL databases to avoid SQL injection attacks. Second, the SQL code is intermingled with our application code, and it can be difficult to track over time. Rockset uses dictionary encoding and other advanced compression techniques to minimize the data storage size.

SQL 52

SQL Database Relational Database NoSQL 52

Cloudera

NOVEMBER 23, 2021

HBase is a column-oriented data storage architecture that is formed on top of HDFS to overcome its limitations. Apache Phoenix is a RDBMS, an ANSI SQL interface. Apache Phoenix implements best-practice optimizations to enable software engineers to develop next-generation data-driven applications based on HBase.

Database 91

Database Non-relational Database NoSQL Government 91

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.

Data Science 97

Data Science BI Machine Learning Business Intelligence 97

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. According to a database model, the organization of data is known as database design.

Data Science 98

Data Science Datasets Machine Learning Database Design 98