DataKitchen

DECEMBER 29, 2022

One common type is the schema, which defines the structure and format of data using a specific markup language such as XML or JSON. Another type of data contract is the service contract, which defines the operations performed by a particular service, such as a SQL query or API.

Data Validation 52

Data Validation Data Data Integration SQL 52

Knowledge Hut

MARCH 20, 2024

This encompasses the basics like algorithms, data structures, and software development methodologies. SQL scripting proficiency may also be useful. Database Management : The ability to understand tables and SQL queries is good for automation tasks involving data validation and manipulation.

Software Engineer 52

Software Engineer Software Engineering Engineering Programming Language 52

Knowledge Hut

MARCH 14, 2024

This encompasses the basics like algorithms, data structures, and software development methodologies. SQL scripting proficiency may also be useful. Database Management : The ability to understand tables and SQL queries is good for automation tasks involving data validation and manipulation.

Software Engineer 52

Software Engineer Software Engineering Engineering Programming Language 52

Data Engineering Weekly

SEPTEMBER 24, 2023

Data Engineering Weekly Is Brought to You by RudderStack RudderStack Profiles takes the SaaS guesswork and SQL grunt work out of building complete customer profiles so you can quickly ship actionable, enriched data to every downstream team. See how it works today. Search and Discrimination!

Data Engineering 67

Data Engineering Data Engineer Engineering Kafka 67

Knowledge Hut

OCTOBER 30, 2023

Data Analysis: Perform basic data analysis and calculations using DAX functions under the guidance of senior team members. Data Integration: Assist in integrating data from multiple sources into Power BI, ensuring data consistency and accuracy. Excel, SharePoint, and web services.

BI 52

BI Business Intelligence Data Cleanse Business Analyst 52

RandomTrees

FEBRUARY 2, 2024

Cost-effective: DataGpt decreases the overall cost of the analysis of data and also provides information at an affordable price. Translate Data: DataGPT works as a translator. It converts between formats like CSV, JSON, and SQL and ensures smooth data integration and manipulation.

Data Engineering 52

Data Engineering Data Engineer Engineering Data Pipeline 52

Ascend.io

AUGUST 31, 2023

Shifting between these two patterns usually involves migration to new tooling to acquire data from sources. Transform in the Data Lake: Transformations in data lakes typically involve deep data engineering skills, using languages like Python, pySpark, and SQL, and data engines like Spark.

Data Lake 52

Data Lake ETL Tools Data Warehouse Data Pipeline 52

Workfall

JANUARY 3, 2023

It makes your website vulnerable to attacks like header injections, cross-site scripting, and SQL injections. An attacker may use cross-site scripting to submit any data on your website. SQL injection has the potential to damage your database’s backend.

SQL 52

SQL Coding Data Validation Utilities 52

dbt Developer Hub

MARCH 23, 2023

Auditing tables is a major part of analytics engineers’ daily tasks, especially when refactoring tables that were built using SQL Stored Procedures or Alteryx Workflows. Easy and intuitive code : Because audit_helper relies on dbt macros, it was designed to be an intuitive tool that runs on simple SQL queries.

Data Warehouse 64

Data Warehouse Generalist SQL Coding 64

Monte Carlo

FEBRUARY 15, 2023

Column level lineage can be used to massively reduce both time-to-detection and time-to-resolution of data quality issues, reducing the time to root-cause data pipeline and helping data engineers spend more time working on their data platform and less time working on their data problems.

Data Validation 52

Data Validation Data Data Engineering Data Engineer 52

Monte Carlo

FEBRUARY 15, 2023

Column level lineage can be used to massively reduce both time-to-detection and time-to-resolution of data quality issues, reducing the time to root-cause data pipeline and helping data engineers spend more time working on their data platform and less time working on their data problems.

Data Validation 52

Data Validation Data Data Engineering Data Engineer 52

Grouparoo

OCTOBER 6, 2021

Tianhui Michael Li The Three Rs of Data Engineering by Tobias Macey Data testing and quality Automate Your Pipeline Tests by Tom White Data Quality for Data Engineers by Katharine Jarmul Data Validation Is More Than Summary Statistics by Emily Riederer The Six Words That Will Destroy Your Career by Bartosz Mikulski Your Data Tests Failed!

Data Engineering 52

Data Engineering Data Engineer Engineering Pipeline-centric 52

dbt Developer Hub

APRIL 30, 2023

My next gig was in consulting where I bootstrapped my way into data engineering and had to learn the whole gamut below. Armed with them, I finally saw the magic of the modern data stack and what problems it could solve. .

Data Engineering 64

Data Engineering Data Engineer Engineering Finance 64

Knowledge Hut

JANUARY 29, 2024

To excel in this domain, individuals should possess the following skills: Data Transformation: The ability to perform various data transformations, such as merging, ordering, and aggregating, to prepare data for analysis. What are the six steps of data wrangling? What is data wrangling vs data cleaning?

Raw Data 52

Raw Data Data Mining Data Preparation Structured Data 52

Monte Carlo

MAY 26, 2023

Data Validation : Like a tuning fork ensuring our instruments are at the right pitch, data validation checks that incoming data meets certain criteria, catching data consistency issues before they enter our system. Looker also has a semantic layer called LookML.

Datasets 52

Datasets Data Warehouse Data Validation Data 52

RandomTrees

SEPTEMBER 6, 2020

Lot of cloud-based data warehouses are available in the market today, out of which let us focus on Snowflake. Snowflake is an analytical data warehouse that is provided as Software-as-a-Service (SaaS). Built on new SQL database engine, it provides a unique architecture designed for the cloud.

Cloud Storage 52

Cloud Storage Data Ingestion Data Cleanse Data Warehouse 52

Monte Carlo

JULY 11, 2023

When various teams have access to a certain dataset, inconsistencies in the treatment and entry of that data can arise. Data inaccuracies often occur in coordination with an insufficient data validation and verification process and with inadequate data documentation and lineage tracking.

Data Cleanse 40

Data Cleanse Datasets Data Governance Government 40

Striim

JANUARY 4, 2023

Assess how data behaves on the fly During production, you can use data contracts as a data validation tool to see how data needs to behave in real time. For example, let’s say your application is collecting data for equipment in a manufacturing plant.

PostgreSQL 52

PostgreSQL Data Warehouse Data Lake Data 52

Databand.ai

JUNE 14, 2023

Deequ Deequ, an open-source library created by Amazon Web Services (AWS), enables testing the completeness, consistency, and accuracy of large-scale datasets using declarative constraints expressed in SQL-like syntax. Learn more in our detailed guide to data quality framework Better data observability equals better data reliability.

Amazon Web Services 52

Amazon Web Services Datasets High Quality Data ETL Tools 52

Monte Carlo

FEBRUARY 6, 2023

But in reality, a data warehouse migration to cloud solutions like Snowflake and Redshift requires a tremendous amount of preparation to be successful—from schema changes and data validation to a carefully executed QA process. What’s more, issues in the source data could even be amplified by a new, sophisticated system.

Data Warehouse 52

Data Warehouse AWS Data Validation Data 52

Monte Carlo

JULY 10, 2023

Data integration challenges Merging data together from multiple sources, even within your own tech stack, can cause misaligned data mapping or incompatible structures. This can lead to data that’s incomplete in one system, even if it’s present in another.

Data Collection 40

Data Collection Data Governance Government Data 40

Knowledge Hut

JANUARY 19, 2024

Practitioners and consultants cited the following abilities as essential for success in the role: Database development tools: Your job will involve working with data regularly. It is crucial to understand how to manage data using common data tools like SQL and Excel.

Business Intelligence 52

Business Intelligence BI Business Analyst Finance 52

Monte Carlo

JANUARY 25, 2023

Data warehouse setup We define our data warehouse in code using an open-source Python tool called dbt (data build tool). For those unfamiliar with dbt, it allows for the creation of “models” using SQL queries to materialize tables, views, and more within the data warehouse.

Data Warehouse 52

Data Warehouse Data High Quality Data Metadata 52

Ascend.io

OCTOBER 12, 2023

Inconsistent, outdated, or inaccurate data can compromise the results of your automation efforts. Solution: Regularly audit your data sources to ensure accuracy and consistency. Establish protocols for data validation and cleansing before integrating them into automated workflows.

Hospitality 52

Hospitality Data Pipeline Healthcare Data Governance 52

U-Next

SEPTEMBER 9, 2022

They ensure that the data is accurate, consistent, and available when needed. To achieve this, DBAs use a variety of tools and techniques, including data cleansing, data validation, and database backups. Data cleansing is the process of identifying and correcting errors in the data.

Database 40

Database Data Cleanse Non-relational Database Database Design 40

Cloudera

AUGUST 31, 2021

These schemas will be created based on its definitions in existing legacy data warehouses. Smart DwH Mover helps in accelerating data warehouse migration. Smart Data Validator helps in extensive data reconciliation and testing. Consideration of both data & metadata in the migration.

Data Warehouse 81

Data Warehouse Database-centric Metadata Cloud 81

Christophe Blefari

MARCH 15, 2024

With yato you give a folder with SQL queries and it guesses the DAG and runs the queries in the right order. BigQuery supports DELETE to delete partitions in a SQL query. Pandera, a data validation library for dataframes, now supports Polars. Arrow doing a lot of the data operation heavy lifting.

Metadata 272

Metadata Datasets Data Data Warehouse 272

Knowledge Hut

DECEMBER 27, 2023

Data preparation: Preparing data so that it can be used by other analysts and decision-makers. Data visualization: Visualizing data in a way that makes it easy to understand and use. Salary Data business analysts make a wide range of salaries, but the average is $89,309 yearly.

Business Analyst 52

Business Analyst Computer Science Finance Data Analysis 52

ProjectPro

APRIL 19, 2021

Collecting data in the real world is not as easy as downloading a dataset from Kaggle. A data analyst does not always find perfectly pre-processed data to solve the business use case. The data can come from multiple sources: a flat file, an API, or a SQL backup. Analyze the outcomes to produce valuable insights.

Portfolio 40

Portfolio Data Finance Certification 40

U-Next

JULY 1, 2022

SQL Injections. Data validation can be practised both on the client and server sides to reduce the XSS negative effects. . Man-In-The-Middle Attacks. Password Attacks. Dos Attacks. Insider Threats. DNS Tunnelling. Zero-Day Exploits. Cryptojacking. Watering Hole Attacks. Ransomware.

Transportation 52

Transportation Engineering Systems Data Validation 52

Knowledge Hut

APRIL 19, 2023

Security Security measures such as encryption, access control, and data validation are essential in programming to prevent data breaches and other malicious activities.

Programming 59

Programming Programming Language Java Coding 59

Data Engineering Weekly

MARCH 31, 2024

Intuit: How Intuit data analysts write SQL 2x faster with the internal GenAI tool The productivity increase with GenAI is undeniable, and several startups are trying to solve the Text2SQL generation problem. My key highlight is that Excellent data documentation and “clean data” improve results.

Data Engineering 62

Data Engineering Data Engineer Engineering Scala 62

Edureka

AUGUST 2, 2023

Data integration and transformation: Before analysis, data must frequently be translated into a standard format. Data processing analysts harmonise many data sources for integration into a single data repository by converting the data into a standardised structure.

Data Process 52

Data Process Process Data Cleanse Data Mining 52

Rockset

MARCH 1, 2023

High level architecture of RocksDB taken from RocksDB Architecture Guide Every Rockset collection uses one or more RocksDB instances to store the data. Data ingested into a Rockset collection is also written to the relevant RocksDB instance.

Data Ingestion 144

Data Ingestion Database Architecture Cloud Storage 144

Data Engineering Weekly

FEBRUARY 12, 2023

It’s true Big Data is dead, but we can’t deny it is a result of collective advancement in data processing techniques. link] Dropbox: Balancing quality and coverage with our data validation framework Data Testing should be part of the data creation lifecycle; it is not a standalone process.

Data Engineering 52

Data Engineering Data Engineer Engineering Hadoop 52

dbt Developer Hub

APRIL 24, 2023

Because the data transformation step is not concentrated in one single software, analyzing and transforming data has gotten increasingly complex and expensive over time. This hampered having one single source of truth and a centralized data transformation platform. This represents a run time reduction of more than 40x.

BI 83

BI Data Workflow SQL Data Pipeline 83

Picnic Engineering

DECEMBER 12, 2023

In some instances, calculating a moving average with SQL queries or leveraging already-known demand for products ordered by our customers will be good enough. For that use case a simple SQL query can be enough.

Machine Learning 52

Machine Learning Deep Learning Food High Quality Data 52