Dataconomy

SEPTEMBER 4, 2023

Understand what insights you need to gain from your data to drive business growth and strategy. Best practices in cloud analytics are essential to maintain data quality, security, and compliance ( Image credit ) Data governance: Establish robust data governance practices to ensure data quality, security, and compliance.

Analytics 203

Analytics Analytics Big Data Analytics Big Data Analytics 203

Alation

AUGUST 30, 2022

These range from data sources , including SaaS applications like Salesforce; ELT like Fivetran; cloud data warehouses like Snowflake; and data science and BI tools like Tableau. This expansive map of tools constitutes today’s modern data stack. In 2022.3, In 2022.3,

Data Governance 52

Data Governance Data Quality Tableau Data Analyst 52

Smart Data Collective

APRIL 29, 2020

Usually the term refers to the practices, techniques and tools that allow access and delivery through different fields and data structures in an organisation. Data management approaches are varied and may be categorised in the following: Cloud data management. Master data management. Data transformation.

Data Warehouse 84

Data Warehouse SQL Azure ETL 84

phData

JANUARY 24, 2024

Fivetran includes features like data movement, transformations, robust security, and compatibility with third-party tools like DBT, Airflow, Atlan, and more. Its seamless integration with popular cloud data warehouses like Snowflake can provide the scalability needed as your business grows.

Data Warehouse 52

Data Warehouse Data Pipeline Data Governance Data Quality 52

Alation

SEPTEMBER 7, 2021

In the next section, let’s take a deeper look into how these key attributes help data scientists and analysts make faster, more informed decisions, while supporting stewards in their quest to scale governance policies on the Data Cloud easily. Find Trusted Data. Verifying quality is time consuming.

Data Governance 59

Data Governance Data Scientist Data Quality Data Profiling 59

phData

JULY 19, 2023

At its core, Fivetran is a data integration platform that enables you to effortlessly connect and centralize your data from various sources into your preferred data destination, such as a data warehouse or cloud storage. Fivetran’s benefits extend to businesses across industries and sizes.

Data Warehouse 52

Data Warehouse Database Data Pipeline SQL 52

phData

JULY 19, 2023

At its core, Fivetran is a data integration platform that enables you to effortlessly connect and centralize your data from various sources into your preferred data destination, such as a data warehouse or cloud storage. Fivetran’s benefits extend to businesses across industries and sizes.

Data Warehouse 52

Data Warehouse Database Data Pipeline SQL 52

Alation

DECEMBER 15, 2022

March 2015: Alation emerges from stealth mode to launch the first official data catalog to empower people in enterprises to easily find, understand, govern and use data for informed decision making that supports the business. May 2016: Alation named a Gartner Cool Vendor in their Data Integration and Data Quality, 2016 report.

Data Governance 52

Data Governance Data Quality Data Warehouse Data Scientist 52

phData

OCTOBER 12, 2022

But maybe your business users want to be able to know if the data they’re consuming is fresh and up to their standards for data quality. dbt Cloud also gives your end users certainty that the data they’re using to make decisions is clean and current. Our team of data experts are happy to assist.

SQL 52

SQL Data Warehouse Data Visualization Data Quality 52

phData

FEBRUARY 5, 2024

Setting up the Information Architecture Setting up an information architecture during migration to Snowflake poses challenges due to the need to align existing data structures, types, and sources with Snowflake’s multi-cluster, multi-tier architecture. Moving historical data from a legacy system to Snowflake poses several challenges.

SQL 52

SQL Database Data Quality Data Warehouse 52

Dataversity

MARCH 22, 2021

This announcement is interesting and causes some of us in the tech industry to step back and consider many of the factors involved in providing data technology […]. The post Where Is the Data Technology Industry Headed? Click here to learn more about Heine Krog Iversen.

Data Lakes 98

Data Lakes Data Warehouse Data Quality Data Modeling 98

Alation

AUGUST 11, 2022

The data warehouse and analytical data stores moved to the cloud and disaggregated into the data mesh. Today, the brightest minds in our industry are targeting the massive proliferation of data volumes and the accompanying but hard-to-find value locked within all that data.

Data Warehouse 52

Data Warehouse Data Engineering Data Engineer Data Engineering 52

The MLOps Blog

MAY 17, 2023

Here are some specific reasons why they are important: Data Integration: Organizations can integrate data from various sources using ETL pipelines. This provides data scientists with a unified view of the data and helps them decide how the model should be trained, values for hyperparameters, etc.

ETL 59

ETL Data Pipeline ML ML 59

Snorkel AI

JANUARY 11, 2023

To improve the training data quality (and reduce the number of revision cycles required to translate domain knowledge to a third-party service), the team realized they needed an alternative to hand-labeling data.

Data Warehouse 52

Data Warehouse Natural Language Processing Data Scientist Data Quality 52

Alation

OCTOBER 18, 2022

Alation is pleased to be named a dbt Metrics Partner and to announce the start of a partnership with dbt, which will bring dbt data into the Alation data catalog. In the modern data stack, dbt is a key tool to make data ready for analysis. Purchase date represents one customer touch point.

Data Analyst 52

Data Analyst Data Engineering Data Engineer Data Engineering 52

phData

SEPTEMBER 20, 2023

A data mesh is a conceptual architectural approach for managing data in large organizations. Traditional data management approaches often involve centralizing data in a data warehouse or data lake, leading to challenges like data silos, data ownership issues, and data access and processing bottlenecks.

Data Silos 52

Data Silos Database Data Quality Data Engineering 52

phData

MAY 11, 2023

Snowflake has so many features that make it the leader in the Cloud Data Warehouse market. Cloning in Snowflake simply means that the data in the clone is not a copy of the original data but simply points back to the original data. Two of these tools are Terraform and phData’s own Provision tool.

Database 52

Database SQL DataOps Data Warehouse 52

phData

MAY 6, 2024

Data Quality Next, dive into the details of your data. Another benefit of deterministic matching is that the process to build these identities is relatively simple, and tools your teams might already use, like SQL and dbt , can efficiently manage this process within your cloud data warehouse.

Data Lakes 52

Data Lakes Data Warehouse SQL Data Quality 52

Mlearning.ai

JULY 10, 2023

In my 7 years of Data Science journey, I’ve been exposed to a number of different databases including but not limited to Oracle Database, MS SQL, MySQL, EDW, and Apache Hadoop. Data Validation With stored procedures, you can validate data fields, data types, and constraints on data input to maintain data quality.

SQL 52

SQL Database Apache Hadoop Data Science 52

Alation

AUGUST 11, 2021

Anthony and his governance team use data to uncover customer insights, and to discover areas where they can improve safety. Like many organizations, TMIC had a complex set of data sources and internal data warehouses. Data quality and stewardship for effective cloud governance.

Data Governance 52

Data Governance Data Warehouse Data Classification Data Quality 52

Alation

JANUARY 25, 2022

On the policy front, a feature like Policy Center empowers users to enforce and track policies at scale; this ensures that people use data compliantly, and organizations are prepared for compliance audits. How can data users navigate and understand such a complex landscape predictably? Alation Data Catalog for the data fabric.

DataOps 52

DataOps SQL ML ML 52

phData

OCTOBER 17, 2023

This cuts into time that can be spent delivering new data/features – and often results in leadership wondering why it is taking so long for new products to arrive (which leads to projects being cut). Additionally, frequent trust issues arise as these pipelines break or data quality suffers.

ETL 52

ETL Data Pipeline Data Engineering Data Engineer 52

Alation

AUGUST 17, 2021

Many are turning to Snowflake for its modern cloud data warehouse, which offers flexibility, cost savings, and governance capabilities across an entire data ecosystem. Alation simplifies data governance by embedding it into the UX. Are you keen to promote data literacy and data culture?

Data Governance 52

Data Governance Data Warehouse Data Quality Cloud Data 52

phData

JULY 18, 2023

With the birth of cloud data warehouses, data applications, and generative AI , processing large volumes of data faster and cheaper is more approachable and desired than ever. First up, let’s dive into the foundation of every Modern Data Stack, a cloud-based data warehouse.

Data Warehouse 52

Data Warehouse SQL Cloud Data Analytics 52

Alation

APRIL 19, 2022

Data modernization is the process of transferring data to modern cloud-based databases from outdated or siloed legacy databases, including structured and unstructured data. In that sense, data modernization is synonymous with cloud migration. 5 Benefits of Data Modernization. Advanced Tooling.

Data Governance 52

Data Governance Cloud Data Database Data Lakes 52

Alation

AUGUST 26, 2021

Data intelligence has thus evolved to answer these questions, and today supports a range of use cases. Examples of Data Intelligence use cases include: Data governance. Cloud Transformation. Cloud Data Migration. Let’s take a closer look at the role of DI in the use case of data governance.

Data Governance 64

Data Governance ML ML Artificial Intelligence 64