ProjectPro

JUNE 6, 2025

Maintain data security and set guidelines to ensure data accuracy and system safety. Stay updated with the latest cutting-edge data architecture strategies. Organize and categorize data from various structured and unstructured data sources. Understanding of Data modeling tools (e.g.,

Data Architect 40

Data Architect Data Mining Programming Language Java 40

ProjectPro

JUNE 6, 2025

Big data analytics market is expected to be worth $103 billion by 2023. We know that 95% of companies cite managing unstructured data as a business problem. of companies plan to invest in big data and AI. million managers and data analysts with deep knowledge and experience in big data. While 97.2%

Big Data 45

Big Data Big Data Skills Hadoop Scala 45

ProjectPro

JUNE 6, 2025

Hive , for instance, does not support sub-queries and unstructured data. Data update and deletion operations are also not possible with Hive. The tool also has acceptable latency for interactive data browsing, and it causes adverse implications on the overall performance.

Hadoop 45

Hadoop Java Big Data Tools Big Data 45

ProjectPro

JUNE 6, 2025

ETL Data Engineers work with different data formats, such as structured, semi-structured, and unstructured data, and ensure that pipelines are efficient, scalable, and optimized for performance.

Data Engineer 40

Data Engineer Data Engineering Engineering ETL Tools 40

ProjectPro

JUNE 6, 2025

Big data enables businesses to get valuable insights into their products or services. Almost every company employs data models and big data technologies to improve its techniques and marketing campaigns. Most leading companies use big data analytical tools to enhance business decisions and increase revenues.

Big Data 40

Big Data Hadoop Relational Database AWS 40

ProjectPro

JUNE 6, 2025

Non-Relational Databases or NoSQL Databases Non-relational or NoSQL databases offer a flexible alternative to traditional relational databases, accommodating diverse data types and volumes. Their schema-less nature simplifies storage but requires careful data modeling for effective querying.

AWS 40

AWS Database Amazon Web Services MySQL 40

ProjectPro

JUNE 6, 2025

It plays a key role in streaming in the form of Spark Streaming libraries, interactive analytics in the form of SparkSQL and also provides libraries for machine learning that can be imported using Python or Scala. With Apache Spark and Machine Learning algorithms, this use case of unstructured data has been solved easily.

Hadoop 40

Hadoop Project Big Data Scala 40

ProjectPro

JUNE 6, 2025

Relational Database Management Systems (RDBMS) Non-relational Database Management Systems Relational Databases primarily work with structured data using SQL (Structured Query Language). SQL works on data arranged in a predefined schema. Non-relational databases support dynamic schema for unstructured data.

Data Engineer 40

Data Engineer Data Engineering Engineering Hadoop 40

ProjectPro

JUNE 6, 2025

Data Engineering Project You Must Explore Once you have completed this fundamental course, you must try working on the Hadoop Project to Perform Hive Analytics using SQL and Scala to help you brush up your skills.

Data Engineer 45

Data Engineer Data Engineering Cloud Engineering 45

ProjectPro

JUNE 6, 2025

It has built-in machine learning algorithms, SQL, and data streaming modules. It provides high-level APIs for R, Python, Java, and Scala. Source Code: Customer Churn Analysis QlikView QlikView is a data visualization tool that can transform unstructured data into a knowledge base and perform conversational analytics.

Big Data Tools 40

Big Data Tools Big Data Hadoop BI 40

ProjectPro

JUNE 6, 2025

Microsoft introduced the Data Engineering on Microsoft Azure DP 203 certification exam in June 2021 to replace the earlier two exams. This professional certificate demonstrates one's abilities to integrate, analyze, and transform various structured and unstructured data for creating effective data analytics solutions.

Certification 40

Certification Data Engineer Data Engineering Engineering 40

ProjectPro

JUNE 6, 2025

Data Analysis Tools- How does Big Data Analytics Benefit Businesses? Big data is much more than just a buzzword. 95 percent of companies agree that managing unstructured data is challenging for their industry. Big data analysis tools are particularly useful in this scenario.

Data Analysis Tools 45

Data Analysis Tools Data Analysis BI R (Programming) 45

ProjectPro

JUNE 6, 2025

For example, C, C++, Go, Java, Node, Python, Rust, Scala , Swift, etc. Sharding refers to the distribution of data across multiple machines. MongoDB’s scale-out architecture allows you to shard data to handle fast querying and documentation of massive datasets. MongoDB supports several programming languages.

MongoDB 66

MongoDB Coding Project NoSQL 66

ProjectPro

JUNE 6, 2025

Open-Source Projects for Data Engineers Here are a few open-source projects in data engineering that you can contribute to. 36) Apache Spark Apache Spark is an open-source, distributed computing system designed to process large amounts of data in a parallel and fault-tolerant manner.

Data Engineer 59

Data Engineer Data Engineering Project Engineering 59

ProjectPro

JUNE 6, 2025

Azure Blob storage is a Microsoft storage offering that is meant explicitly for cloud objects and is suitable for holding vast quantities of unstructured data. Unstructured data, such as text or binary data, does not correspond to a specific data model or description. Explain Azure Blob storage.

BI 63

BI Cloud Computing SQL Database 63

ProjectPro

JUNE 6, 2025

It facilitates the delivery of live data streams for applications such as IoT, monitoring, and analytics, allowing for rapid insights and timely decision-making. Then, mount the dataset in Blob using Scala within Databricks. Gain a deep understanding of Structured Streaming to process streaming data effectively.

Cloud Computing 40

Cloud Computing Cloud Project Google Cloud 40

ProjectPro

JUNE 6, 2025

Data Modeling Analyzing unstructured data models is one of the key responsibilities of a machine learning career, which brings us to the next required skill- data modeling and evaluation. Having a solid knowledge of data modeling concepts is essential for every machine learning professional.

Machine Learning 49

Machine Learning Engineering Algorithm Computer Science 49

ProjectPro

JUNE 6, 2025

Source: query.prod.cms.rt.microsoft.com/cms The certification covers fundamental data concepts and Microsoft Azure data services. Data Storage- Exploring various data storage options, including Azure SQL Database, Azure Cosmos DB , Azure Blob Storage , and Azure Data Lake Storage.

Certification 40

Certification Cloud Cloud Computing Machine Learning 40

Data Engineering Podcast

JUNE 12, 2022

Summary Unstructured data takes many forms in an organization. From a data engineering perspective that often means things like JSON files, audio or video recordings, images, etc. The Ascend Data Automation Cloud provides a unified platform for data ingestion, transformation, orchestration, and observability.

Unstructured Data 130

Unstructured Data MongoDB MySQL Scala 130

Snowflake

JULY 10, 2023

“California Air Resources Board has been exploring processing atmospheric data delivered from four different remote locations via instruments that produce netCDF files. Previously, working with these large and complex files would require a unique set of tools, creating data silos. ” U.S.

Unstructured Data 40

Unstructured Data Python Process Scala 40

Snowflake

NOVEMBER 2, 2023

Rather than defining schema upfront, a user can decide which data and schema they need for their use case. Snowflake has long supported semi-structured data types and file formats like JSON, XML, Parquet, and more recently storage and processing of unstructured data such as PDF documents, images, videos, and audio files.

Data Lake 112

Data Lake Data Warehouse Cloud Unstructured Data 112

Snowflake

SEPTEMBER 7, 2023

Snowpark is the set of libraries and runtimes that enables data engineers, data scientists and developers to build data engineering pipelines, ML workflows, and data applications in Python, Java, and Scala. Now users with USAGE privilege on the CHATGPT function can call this UDF.

Amazon Web Services 133

Amazon Web Services AWS Government Python 133

Knowledge Hut

MAY 3, 2024

Spark offers over 80 high-level operators that make it easy to build parallel apps and one can use it interactively from the Scala, Python, R, and SQL shells. The core is the distributed execution engine and the Java, Scala, and Python APIs offer a platform for distributed ETL application development.

Scala 98

Scala Hadoop Healthcare Big Data 98

Cloudera

APRIL 20, 2021

In today’s demand for more business and customer intelligence, companies collect more varieties of data — clickstream logs, geospatial data, social media messages, telemetry, and other mostly unstructured data.

Kafka 95

Kafka Hospitality Retail Data Ingestion 95

ProjectPro

FEBRUARY 8, 2023

Create The Connector for Source Database The first step is having the source database, which can be any S3, Aurora, and RDS that can hold structured and unstructured data. Glue works absolutely fine with structured as well as unstructured data.

AWS 98

AWS Scala Metadata Data Lake 98

Towards Data Science

AUGUST 10, 2023

3- Putting unstructured data to work All of our expert panelists were excited about the potential for generative AI to enable data teams and organizations to extract value from non-relational sources. There’s plenty of unstructured data in the world. So let’s take a look at some of the recurring themes.

IT 98

IT Unstructured Data SQL BI 98

Snowflake

NOVEMBER 29, 2023

Technological drivers Data storage: Snowflake provides unprecedented flexibility to store a variety of data sources of all modalities (streaming, structured, semi-structured and unstructured) at a low cost, including omics data such as variant (VCF) data and unstructured data such as pathology images.

Metadata 103

Metadata Healthcare Medical Data Storage 103

Sync Computing

NOVEMBER 7, 2024

Despite these limitations, data warehouses, introduced in the late 1980s based on ideas developed even earlier, remain in widespread use today for certain business intelligence and data analysis applications. While data warehouses are still in use, they are limited in use-cases as they only support structured data.

Data Lake 52

Data Lake Data Warehouse Business Intelligence Unstructured Data 52

AltexSoft

FEBRUARY 11, 2023

Hands-on experience with a wide range of data-related technologies The daily tasks and duties of a data architect include close coordination with data engineers and data scientists. The candidates for this certification should be able to transform, integrate and consolidate both structured and unstructured data.

Data Architect 87

Data Architect Certification Generalist Big Data 87

AltexSoft

MARCH 30, 2023

This way, Delta Lake brings warehouse features to cloud object storage — an architecture for handling large amounts of unstructured data in the cloud. Source: The Data Team’s Guide to the Databricks Lakehouse Platform Integrating with Apache Spark and other analytics engines, Delta Lake supports both batch and stream data processing.

Scala 64

Scala Data Lake BI Google Cloud 64

Snowflake

MARCH 30, 2023

Supporting streaming ingestion Now that we know how to get data into Snowflake, let’s turn our attention to feature engineering options within Snowflake. B) Transformations – Feature engineering into business vault Transformations can be supported in SQL, Python, Java, Scala—choose your poison!

Engineering 102

Engineering Raw Data Data Science Machine Learning 102

Monte Carlo

MAY 31, 2022

Spark supports several different programming interfaces that can create jobs such as Scala, Python, or R. Following are examples from Databricks notebooks in Python, Scala, and R that all do the same thing – load a CSV file into a Spark DataFrame. Python %python data = spark.read.format('csv').option('header',

Data Lake 52

Data Lake Building Scala Metadata 52

Knowledge Hut

SEPTEMBER 26, 2023

We as Azure Data Engineers should have extensive knowledge of data modelling and ETL (extract, transform, load) procedures in addition to extensive expertise in creating and managing data pipelines, data lakes, and data warehouses. The main exam for the Azure data engineer path is DP 203 learning path.

Certification 52

Certification Data Engineer Data Engineering Engineering 52

ProjectPro

JANUARY 24, 2023

Programming Language.NET and Python Python and Scala AWS Glue vs. Azure Data Factory Pricing Glue prices are primarily based on data processing unit (DPU) hours. Both services support structured and unstructured data. Both platforms are designed for data transformation and preparation.

AWS 52

AWS Cloud Amazon Web Services ETL Tools 52

Knowledge Hut

NOVEMBER 28, 2023

With a plethora of new technology tools on the market, data engineers should update their skill set with continuous learning and data engineer certification programs. What do Data Engineers Do? Java can be used to build APIs and move them to destinations in the appropriate logistics of data landscapes.

Data Engineer 52

Data Engineer Data Engineering Engineering Generalist 52

Knowledge Hut

JUNE 20, 2023

Languages Python, SQL, Java, Scala R, C++, Java Script, and Python Tools Kafka, Tableau, Snowflake, etc. Skills A data engineer should have good programming and analytical skills with big data knowledge. They transform unstructured data into scalable models for data science.

Machine Learning 52

Machine Learning Data Engineer Data Engineering Engineering 52

Knowledge Hut

MAY 2, 2024

As per Apache, “ Apache Spark is a unified analytics engine for large-scale data processing ” Spark is a cluster computing framework, somewhat similar to MapReduce but has a lot more capabilities, features, speed and provides APIs for developers in many languages like Scala, Python, Java and R.

Scala 52

Scala Hospitality Machine Learning Healthcare 52