Data Engineering Weekly

JANUARY 15, 2025

Mishandling this data exposes organizations to significant risks, including regulatory fines and reputational damage. To safeguard sensitive information, compliance with frameworks like GDPR and HIPAA requires encryption, access control, and anonymization techniques.

Data Engineer 63

Data Engineer Data Engineering Unstructured Data Engineering 63

ThoughtSpot

APRIL 22, 2025

In seconds, Spotter can create a guide for working with this worksheet, highlighting both its structure (columns) and potential applications (questions) in a way that makes the data more accessible and actionable for further analysis.

BI 59

BI Datasets Business Intelligence Raw Data 59

Data Engineering Podcast

APRIL 28, 2024

Powered by Trino, Starburst runs petabyte-scale SQL analytics fast at a fraction of the cost of traditional methods, helping you meet all your data needs ranging from AI/ML workloads to data applications to complete analytics. What are the features and focus of Pieces that might encourage someone to use it over the alternatives?

Building 147

Building Data Lake High Quality Data Machine Learning 147

Snowflake

OCTOBER 15, 2024

As organizations increasingly seek to enhance decision-making and drive operational efficiencies by making knowledge in documents accessible via conversational applications, a RAG-based application framework has quickly become the most efficient and scalable approach. Amazon S3) without copying the original file into Snowflake.

SQL 98

SQL Data Preparation Electronics Python 98

Snowflake

DECEMBER 5, 2023

But without a governed data foundation, you can’t trust results or unlock all that’s possible with these breakaway technologies. To ensure data remains protected from unintended use, Snowflake Cortex (now in private preview) gives users access to industry-leading LLMs (e.g.,

AWS 124

AWS Amazon Web Services Government Machine Learning 124

Cloudera

OCTOBER 11, 2021

The platform converges data cataloging, data ingestion, data profiling, data tagging, data discovery, and data exploration into a unified platform, driven by metadata. Modak Nabu automates repetitive tasks in the data preparation process and thus accelerates the data preparation by 4x.

Data Engineer 95

Data Engineer Data Engineering Cloud Engineering 95

Edureka

APRIL 16, 2025

Ease of Exploration: Makes it simpler to try out new tools, languages, or frameworks with instant access to relevant code snippets and usage examples. Step 2: Access Extensions To open the Extensions view in Visual Studio Code, click the icon that looks like four small squares arranged in a grid, located in the sidebar.

Programming Language 40

Programming Language Coding Programming Data Preparation 40

Snowflake

JUNE 28, 2023

Snowpark is our secure deployment and processing of non-SQL code, consisting of two layers: Familiar Client Side Libraries – Snowpark brings deeply integrated, DataFrame-style programming and OSS compatible APIs to the languages data practitioners like to use.

Python 52

Python Accessibility Accessible Pipeline-centric 52

ThoughtSpot

MARCH 5, 2024

Create Snowflake dynamic tables In Snowflake, create dynamic tables by writing SQL queries that define how data should be transformed and materialized. Grant ThoughtSpot access In Snowflake, grant the ThoughtSpot service account USAGE privileges on the schemas containing the dynamic tables. Set refresh schedules as needed.

BI 111

BI Datasets SQL Raw Data 111

Snowflake

DECEMBER 18, 2023

Harnessing the power of Snowflake Cortex ML-based forecasting and anomaly detection is easy: Simply use them wherever you access your Snowflake data today, whether in Snowsight or your favorite SQL editor. Note: LLM-based functions are still in private preview; reach out to your account team to gain access.)

SQL 111

SQL Retail Machine Learning Python 111

Snowflake

MARCH 5, 2024

For example: Custom text summaries in JSON format Turning email domains into rich data sets Building data quality agents using LLMs All of these and more can quickly be accomplished with the power of industry-leading foundation models from Mistral AI ( Mistral Large , Mistral 8x7B , Mistral 7B ), Google (Gemma-7b) and Meta (Llama2 70B).

Government 121

Government Data Preparation AWS Data Governance 121

Cloudera

MARCH 31, 2021

In this first Google Cloud release, CDP Public Cloud provides built-in Data Hub definitions (see screenshot for more details) for: Data Ingestion (Apache NiFi, Apache Kafka). Data Preparation (Apache Spark and Apache Hive) . Analyze static (Apache Impala) and streaming (Apache Flink) data.

Google Cloud 94

Google Cloud Cloud Amazon Web Services Cloud Storage 94

Snowflake

MARCH 30, 2023

A 2016 data science report from data enrichment platform CrowdFlower found that data scientists spend around 80% of their time in data preparation (collecting, cleaning, and organizing of data) before they can even begin to build machine learning (ML) models to deliver business value.

Engineering 105

Engineering Raw Data Data Science Machine Learning 105

The Modern Data Company

JANUARY 22, 2024

Founded on the principle of empowering every stakeholder to make data-driven decisions, Modern’s journey is intricately tied to the ideals of data democratization. This involves delivering data integration solutions that facilitate faster access to trusted data across distributed landscapes.

Data Integration 98

Data Integration Metadata Government Unstructured Data 98

Knowledge Hut

FEBRUARY 29, 2024

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. While using Amazon SageMaker datasets are quick to access and load. Kaggle Datasets : It is an online community platform for data science enthusiasts.

Data Science 98

Data Science Datasets Machine Learning Database Design 98

Data Engineering Podcast

NOVEMBER 11, 2019

How do data protection regulations impact or restrict the technology choices that are viable for the data preparation layer? Who in the organization is responsible for the proper compliance to GDPR and other data protection regimes? How do the regulations impact the types of analytics that they can use?

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Designing Data Pipeline Programming Language Data 100

Knowledge Hut

DECEMBER 22, 2023

Spotlight on Augmented Analytics Also hailed as the future of Business Intelligence, Augmented analytics employs machine learning/ artificial intelligence (ML/AI) techniques to automate data preparation, insight discovery and sharing, data science and ML model development, management and deployment.

Data Science 98

Data Science Deep Learning Machine Learning Healthcare 98

Scott Logic

APRIL 22, 2024

Large-model AI is becoming more and more influential in the market, and with the well-known tech giants starting to introduce easy-access AI stacks, a lot of businesses are left feeling that although there may be a use for AI in their business, they’re unable to see what use cases it might help them with.

BI 97

BI Software Engineer Software Engineering Algorithm 97

Knowledge Hut

JANUARY 29, 2024

All cloud models and resources can be accessible from the internet. Access to these resources is possible using any browser software or internet-connected device. With the rise of new technologies, there has been an overflow of large chunks of data. Cloud Computing Services can be accessed with the help of the internet.

Cloud Computing 98

Cloud Computing Data Science Cloud Amazon Web Services 98

AltexSoft

MAY 27, 2022

Data preparation for LOS prediction. As with any ML initiative, everything starts with data. Overall, the MIMIC database features health data from over 40,000 critical care patients and embraces multiple variables. But to get access to this treasure, you must ?omplete Syntegra synthetic data. several others.

Hospitality 98

Hospitality Medical Healthcare Algorithm 98

AltexSoft

OCTOBER 30, 2021

Here, data scientists are supported by data engineers. Data engineering itself is a process of creating mechanisms for accessing data. A data scientist takes part in almost all stages of a machine learning project by making important decisions and configuring the model. Data preparation and cleaning.

Data Engineer 98

Data Engineer Data Engineering Engineering Machine Learning 98

Precisely

SEPTEMBER 12, 2024

Key Takeaways Leverage location intelligence (LI) to make informed business decisions with spatial data insights. Use accessible LI tools to democratize data and enable competitive advantages. Ensure data accuracy and integrity of your location data to maximize the benefits of location intelligence.

Food 64

Food Insurance Data Science Data 64

RandomTrees

AUGUST 22, 2024

These technologies enable: Automated data preparation and cleansing Advanced predictive analytics Natural language processing for querying data AI recommendations for insights and visualizations As AI capabilities improve, we can expect BI tools to become more proactive in surfacing relevant insights and automating routine analysis tasks.

Business Intelligence 52

Business Intelligence BI Data Preparation Machine Learning 52

Knowledge Hut

MAY 1, 2024

It is important to make use of this big data by processing it into something useful so that the organizations can use advanced analytics and insights to their advant age (generating better profits, more customer-reach, and so on). These steps will help understand the data, extract hidden patterns and put forward insights about the data.

Algorithm 98

Algorithm Data Science Raw Data Computer Science 98

Cloudera

DECEMBER 16, 2022

We have been investing in development for years to deliver common security, governance, and metadata management across the entire data layer with capabilities to mask data, provide fine grained access, and deliver a single data catalog to view all data across the enterprise. 5-Integrated open data collection.

Database 92

Database Cloud Systems Management 92

The Modern Data Company

JANUARY 22, 2024

Founded on the principle of empowering every stakeholder to make data-driven decisions, Modern’s journey is intricately tied to the ideals of data democratization. Augmented data integration, self-service data preparation, metadata support, and data governance are key strengths.

Data Integration 87

Data Integration Metadata Government Unstructured Data 87

Cloudera

OCTOBER 4, 2023

Ability to use multiple different flexible partitioning schemes to accommodate any real-time data, regardless of each stream’s particular characteristics. Making sure data is able to land in real time and be accessed just as fast requires a “best fit” partitioning scheme. Kudu has this covered.

Data Warehouse 89

Data Warehouse Telecommunication Java Manufacturing 89

Cloudera

DECEMBER 17, 2020

While it’s important to have the in-house data science expertise and the ML experts on-hand to build and test models, the reality is that the actual data science work — and the machine learning models themselves — are only one part of the broader enterprise machine learning puzzle.

Machine Learning 82

Machine Learning Data Science Data Pipeline Raw Data 82

Knowledge Hut

JANUARY 24, 2024

Data Sources Tableau Software can access many data sources and servers. The thing about Power BI is that it supports different data sources. The ease of Using Tableau provides some crucial advantages for detailed data exploration and visualization.

BI 98

BI Business Intelligence Non-relational Database Machine Learning 98

ProjectPro

FEBRUARY 8, 2023

AWS Glue Architecture and Components Source: AWS Glue Documentation AWS Glue Data Catalog Data Catalog is a massively scalable grouping of tables into databases. By using AWS Glue Data Catalog, multiple systems can store and access metadata to manage data in data silos.

AWS 98

AWS Scala Metadata Data Lake 98

Edureka

JULY 16, 2024

Machine Learning in AWS SageMaker Machine learning in AWS SageMaker involves steps facilitated by various tools and services within the platform: Data Preparation: SageMaker comprises tools for labeling the data and data and feature transformation. This ensures that the data is secured from its generation to its disposal.

AWS 52

AWS Algorithm Machine Learning Amazon Web Services 52

Precisely

FEBRUARY 12, 2024

Read Common Data Challenges in Telecommunications As natural innovators, telecommunications firms have been early adopters of advanced analytics. Despite that fact, valuable data often remains locked up in various silos across the organization. This shortfall in effective data governance inhibits visibility and transparency.

Data Governance 64

Data Governance Government Telecommunication Machine Learning 64

Precisely

JULY 18, 2024

Key Takeaways Data Fabric is a modern data architecture that facilitates seamless data access, sharing, and management across an organization. Data management recommendations and data products emerge dynamically from the fabric through automation, activation, and AI/ML analysis of metadata.

Data Management 52

Data Management Management Metadata Database-centric 52

Knowledge Hut

JANUARY 29, 2024

Data wrangling offers several benefits, such as: Usable Data: Data wrangling converts raw data into a format suitable for analysis, ensuring the quality and integrity of the data used for downstream processes. Tabula : A versatile tool suitable for all data types, making it accessible for a wide range of users.

Raw Data 52

Raw Data Data Mining Data Preparation Structured Data 52

Cloudera

APRIL 10, 2021

CPUs and GPUs can be used in tandem for data engineering and data science workloads. A typical machine learning workflow involves data preparation, model training, model scoring, and model fitting. To overcome this, practitioners often turn to NVIDIA GPUs to accelerate machine learning and deep learning workloads. .

Machine Learning 64

Machine Learning Data Science Deep Learning Utilities 64

LinkedIn Engineering

DECEMBER 20, 2023

It enables models to stay updated by automatically retraining on incrementally larger and more recent data with a pre-defined periodicity. One of the key functions of the framework is enabling the publishing of the newly-trained model to the model artifactory, so that the production machines access these models seamlessly.

Machine Learning 90

Machine Learning Datasets Algorithm Architecture 90

Knowledge Hut

SEPTEMBER 26, 2023

The insights derived from the data in hand are then turned into impressive business intelligence visuals such as graphs or charts for the executive management to make strategic decisions. In this post, we will discuss the top power BI developer skills required to access Microsoft’s power business intelligence software.

BI 52

BI Business Intelligence Raw Data Data Analysis 52