Monte Carlo

AUGUST 15, 2023

Data testing Data teams that are on-premises don’t have the scale or rich metadata from central query logs or modern table formats to easily run machine learning driven anomaly detection (in other words data observability ). For example, customer_id should never be NULL or currency_conversion should never have a negative value.

Data Storage 88

Data Storage Cloud Metadata Media 88

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

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

Data Engineering Podcast

JANUARY 13, 2020

This requires a new class of data storage which can accomodate that demand without having to rearchitect your system at each level of growth. YugabyteDB is an open source database designed to support planet scale workloads with high data density and full ACID compliance.

SQL 100

SQL PostgreSQL MongoDB Database Design 100

Christophe Blefari

MARCH 1, 2023

dbt Core is an open-source framework that helps you organise data warehouse SQL transformation. This switch has been lead by modern data stack vision. AWS, GCP, Azure—the storage price dropped and we became data insatiable, we were in need of all the company data, in one place, in order to join and compare everything.

Data Warehouse 278

Data Warehouse SQL Metadata Raw Data 278

Christophe Blefari

SEPTEMBER 28, 2023

Historically, data pipelines were designed with an ETL approach, storage was expensive and we had to transform the data before using it. With the cloud, we got the—false—impression that resources were infinite and cheap, so we switched to ETL by pushing everything into a central data storage.

Cloud Storage 147

Cloud Storage Big Data Hadoop SQL 147

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

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 63

Data Lake Data Warehouse Programming Language Data Ingestion 63

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

Knowledge Hut

MARCH 27, 2024

An ordered set of data kept in a computer system and typically managed by a database management system (DBMS) is called a database. Table modeling of the data in standard databases facilitates efficient searching and processing. SQL, or structured query language, is widely used for writing and querying data.

Database 52

Database Algorithm Relational Database PostgreSQL 52

Christophe Blefari

AUGUST 4, 2023

The modern data stack as a collection of tools which interacts altogether to serve data to consumers is still relevant. Personally I think that the modern data stack characterises by having a central data storage in which everything happens. Obviously this can be subject to change.

Google Cloud 225

Google Cloud MongoDB NoSQL Data 225

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 NoSQL Hadoop 98

Monte Carlo

MAY 28, 2024

Ensuring all relevant data inputs are accounted for is crucial for a comprehensive ingestion process. Data Extraction : Begin extraction using methods such as API calls or SQL queries. Conversely, stream processing continuously collects data in real-time, enabling immediate analytics.

Data Ingestion 52

Data Ingestion Architecture Designing Hadoop 52

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 AWS 52

Christophe Blefari

MAY 12, 2023

The StarCoder ( credits ) Fast News ⚡️ Zero ELT could be the death of the modern data stack — Amazon launched this trend a few months ago. For instance Zapier launched Zapier Tables some kind of data storage within your zaps. Mainly it resides in the data storage.

Data 130

Data Data Storage SQL Coding 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 Data Pipeline 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 Data Pipeline 130

Knowledge Hut

SEPTEMBER 25, 2023

As an Azure Data Engineer, you will be expected to design, implement, and manage data solutions on the Microsoft Azure cloud platform. You will be in charge of creating and maintaining data pipelines, data storage solutions, data processing, and data integration to enable data-driven decision-making inside a company.

Data Engineering 52

Data Engineering Data Engineer Engineering Data Lake 52

Knowledge Hut

MARCH 28, 2024

Job Role 1: Azure Data Engineer Azure Data Engineers develop, deploy, and manage data solutions with Microsoft Azure data services. They use many data storage, computation, and analytics technologies to develop scalable and robust data pipelines.

Data Engineering 52

Data Engineering Data Engineer Engineering Data Warehouse 52

Knowledge Hut

MAY 2, 2024

The Pig has SQL-like syntax and it is easier for SQL developers to get on board easily. It also has rich Spark SQL APIs for SQL-savvy developers and it covers most of the SQL functions and is adding more functions with each new release. Spark is fast and so can be used in Near Real Time data analysis.

Scala 96

Scala Hadoop Datasets Java 96

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 Engineering 130

Data Engineering Data Engineer Engineering Hadoop 130

Knowledge Hut

MARCH 15, 2024

RDBMS uses SQL to organize data into structured tables, whereas NoSQL is more flexible and can handle a wider range of data types because of its dynamic schemas. Programming languages like SQL (Structured Query Language) are used to update and retrieve data from databases, among other things. What is NoSQL?

NoSQL 52

NoSQL Database-centric Relational Database PostgreSQL 52

Edureka

FEBRUARY 9, 2023

Azure Data Engineering is a rapidly growing field that involves designing, building, and maintaining data processing systems using Microsoft Azure technologies. As a certified Azure Data Engineer, you have the skills and expertise to design, implement and manage complex data storage and processing solutions on the Azure cloud platform.

Data Engineering 52

Data Engineering Data Engineer Engineering Amazon Web Services 52

DareData

JANUARY 30, 2023

In this post, we'll discuss some key data engineering concepts that data scientists should be familiar with, in order to be more effective in their roles. These concepts include concepts like data pipelines, data storage and retrieval, data orchestrators or infrastructure-as-code.

Data Engineering 52

Data Engineering Data Engineer NoSQL Engineering 52

Knowledge Hut

NOVEMBER 17, 2023

Here is a step-by-step guide on how to become an Azure Data Engineer: 1. Understanding SQL You must be able to write and optimize SQL queries because you will be dealing with enormous datasets as an Azure Data Engineer. You should possess a strong understanding of data structures and algorithms.

Data Engineering 52

Data Engineering Data Engineer Engineering Scala 52

Knowledge Hut

MAY 9, 2024

Highest Paying Data Science Job Titles Studies suggest the data scientists' employment rate will surge to 36% by 2031. While only 33% of job ads specifically demand a data science degree, the highly sought-after technical skills are SQL and Python. They manage data storage and the ETL process.

Data Science 52

Data Science Data Mining Data Architect Programming Language 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 71

Data Engineering Data Engineer Project Engineering 71

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 Database Design Machine Learning 98

Knowledge Hut

DECEMBER 28, 2023

The certification path covers a comprehensive range of topics crucial for a successful career as an Azure Data Engineer: Data storage options like Azure Data Lake Storage and Azure SQL Data Warehouse Data processing solutions such as Azure Databricks and Azure Stream Analytics.

Certification 52

Certification Data Engineering Data Engineer Engineering 52

Knowledge Hut

NOVEMBER 2, 2023

An Azure Data Engineer is a professional responsible for designing, implementing, and managing data solutions using Microsoft's Azure cloud platform. They work with various Azure services and tools to build scalable, efficient, and reliable data pipelines, data storage solutions, and data processing systems.

Data Engineering 52

Data Engineering Data Engineer Engineering Pipeline-centric 52

Knowledge Hut

SEPTEMBER 26, 2023

Microsoft Azure's Azure Synapse, formerly known as Azure SQL Data Warehouse, is a complete analytics offering. Designed to tackle the challenges of modern data management and analytics, Azure Synapse brings together the worlds of big data and data warehousing into a unified and seamlessly integrated platform.

Data Lake 52

Data Lake Database-centric Pipeline-centric Machine Learning 52

ProjectPro

MAY 12, 2016

Big Data has found a comfortable home inside the Hadoop ecosystem. Hadoop based data stores have gained wide acceptance around the world by developers, programmers, data scientists, and database experts. It also supports user-defined functions and allows processing of compressed data.

Hadoop 40

Hadoop SQL Business Intelligence Java 40

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 Business Intelligence Data Mining 97

Hevo

FEBRUARY 9, 2023

Data Build Tool (DBT) is a powerful, SQL-based open-source tool. It helps organizations quickly build and maintain data transformations in their data pipelines. Building data pipelines is challenging, as we […]

Data Pipeline 52

Data Pipeline Building Data Warehouse Data Storage 52

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 ETL Method Data Architect 98

Knowledge Hut

NOVEMBER 28, 2023

SQL Today, more and more cloud-based systems add SQL-like interfaces that allow you to use SQL. ETL is central to getting your data where you need it. Relational database management systems (RDBMS) remain the key to data discovery and reporting, regardless of their location.

Data Engineering 52

Data Engineering Data Engineer Engineering Generalist 52

Knowledge Hut

NOVEMBER 19, 2023

As a result, data engineers working with big data today require a basic grasp of cloud computing platforms and tools. Businesses can employ internal, public, or hybrid clouds depending on their data storage needs, including AWS, Azure, GCP, and other well-known cloud computing platforms.

Data Engineering 52

Data Engineering Data Engineer Engineering PostgreSQL 52