Cloudera

NOVEMBER 2, 2020

Data processing and analytics drive their entire business. So they needed a data warehouse that could keep up with the scale of modern big data systems , but provide the semantics and query performance of a traditional relational database. Optimized access to both full fidelity raw data and aggregations.

Data Warehouse 97

Data Warehouse Kafka Lambda Architecture BI 97

Striim

SEPTEMBER 11, 2024

Third-Party Data: External data sources that your company does not collect directly but integrates to enhance insights or support decision-making. These data sources serve as the starting point for the pipeline, providing the raw data that will be ingested, processed, and analyzed.

Data Pipeline 98

Data Pipeline Designing Data Lake Data Warehouse 98

ProjectPro

FEBRUARY 8, 2023

But this data is not that easy to manage since a lot of the data that we produce today is unstructured. In fact, 95% of organizations acknowledge the need to manage unstructured raw data since it is challenging and expensive to manage and analyze, which makes it a major concern for most businesses.

AWS 98

AWS Scala Metadata Data Lake 98

Monte Carlo

MAY 28, 2024

Data Extraction with Apache Hadoop and Apache Sqoop : Hadoop’s distributed file system (HDFS) stores large data volumes; Sqoop transfers data between Hadoop and relational databases. Data Transformation with Apache Spark : In-memory data processing for rapid cleaning and transformation.

Data Ingestion 52

Data Ingestion Architecture Designing Hadoop 52

Edureka

AUGUST 2, 2023

SQL Structured Query Language, or SQL, is used to manage and work with relational databases. It is a crucial tool for data scientists since it enables users to create, retrieve, edit, and delete data from databases.SQL (Structured Query Language) is indispensable when it comes to handling structured data stored in relational databases.

Programming Language 52

Programming Language Programming Scala Pharmaceutical 52

AltexSoft

MAY 14, 2021

And most of this data has to be handled in real-time or near real-time. Variety is the vector showing the diversity of Big Data. This data isn’t just about structured data that resides within relational databases as rows and columns. Cassandra is an open-source NoSQL database developed by Apache.

Big Data 78

Big Data Data Analytics IT NoSQL 78

AltexSoft

AUGUST 29, 2023

The term was coined by James Dixon , Back-End Java, Data, and Business Intelligence Engineer, and it started a new era in how organizations could store, manage, and analyze their data. This article explains what a data lake is, its architecture, and diverse use cases. Data sources can be broadly classified into three categories.

Data Lake 52

Data Lake Architecture IT Amazon Web Services 52

Airbnb Tech

APRIL 13, 2021

Most teams at Airbnb rely on the data warehouse (i.e., Minerva , Apache Druid , DataPortal , Apache Superset , SLA monitoring ) to make data-informed decisions. To take full advantage of the available resources, our team built a pipeline on top of the AWS Cost & Usage Report (CUR), a rich source of raw data.

AWS 52

AWS Raw Data Amazon Web Services Cloud 52

Rockset

JANUARY 10, 2019

This post outlines how to use SQL for querying and joining raw data sets like nested JSON and CSV - for enabling fast, interactive data science. Data scientists and analysts deal with complex data. Much of what they analyze could be third-party data, over which there is little control.

Data Science 40

Data Science SQL Relational Database Raw Data 40

AltexSoft

DECEMBER 23, 2022

For example, Online Analytical Processing (OLAP) systems only allow relational data structures so the data has to be reshaped into the SQL-readable format beforehand. In ELT, raw data is loaded into the destination, and then it receives transformations when it’s needed. Scalability. Full extraction.

Process 52

Process Building Raw Data Data Lake 52

AltexSoft

NOVEMBER 10, 2021

Prior to the recent advances in data management technologies, there were two main types of data stores companies could make use of, namely data warehouses and data lakes. Data warehouse. Another type of data storage — a data lake — tried to address these and other issues. Data lake.

Architecture 52

Architecture Data Lake Data Warehouse Metadata 52

Grouparoo

NOVEMBER 29, 2021

The benefit of databases over other data storage techniques is the strong access controls that protect data integrity where concurrent access by multiple data processors exists. This is an important distinction as it determines whether or not the data source is under the control of the database function.

Raw Data 40

Raw Data Big Data Relational Database Data Warehouse 40

Ascend.io

JANUARY 2, 2024

The key differentiation lies in the transformational steps that a data pipeline includes to make data business-ready. Ultimately, the core function of a pipeline is to take raw data and turn it into valuable, accessible insights that drive business growth. cleaning, formatting)?

Data Pipeline 52

Data Pipeline Building Raw Data Data Warehouse 52

AltexSoft

JUNE 26, 2023

Data collection revolves around gathering raw data from various sources, with the objective of using it for analysis and decision-making. It includes manual data entries, online surveys, extracting information from documents and databases, capturing signals from sensors, and more.

Data Collection 52

Data Collection Machine Learning Unstructured Data Non-relational Database 52

Knowledge Hut

AUGUST 16, 2024

Having a sound knowledge of either of these programming languages is enough to have a successful career in Data Science. Excel Excel is another very important prerequisite for Data Science. It is an important tool to understand, manipulate, analyze and visualize data. Using SQL, we can fetch, insert, update or delete data.

Data Science 52

Data Science Hadoop Unstructured Data Programming Language 52

AltexSoft

MARCH 14, 2023

Databases store key information that powers a company’s product, such as user data and product data. The ones that keep only relational data in a tabular format are called SQL or relational database management systems (RDBMSs).

IT 59

IT Data Warehouse Data Governance Data Lake 59

Databand.ai

AUGUST 30, 2023

Data Storage Once data is ingested, it must be stored in a suitable data storage platform that can accommodate the volume, variety, and velocity of the data being processed. Data storage platforms can include traditional relational databases, NoSQL databases, data lakes, or cloud-based storage services.

Architecture 52

Architecture Data Ingestion Data Governance Data Cleanse 52

ProjectPro

JANUARY 27, 2023

You have probably heard the saying, "data is the new oil". It is extremely important for businesses to process data correctly since the volume and complexity of raw data are rapidly growing. Well, it surely is!

BI 52

BI ETL Tools Retail Healthcare 52

Grouparoo

OCTOBER 26, 2021

Origin The origin of a data pipeline refers to the point of entry of data into the pipeline. This includes the different possible sources of data such as application APIs, social media, relational databases, IoT device sensors, and data lakes.

Data Pipeline 52

Data Pipeline ETL Tools Data Warehouse ETL System 52

ProjectPro

JANUARY 31, 2023

Big data operations require specialized tools and techniques since a relational database cannot manage such a large amount of data. Big data enables businesses to gain a deeper understanding of their industry and helps them extract valuable information from the unstructured and raw data that is regularly collected.

Big Data 52

Big Data Hadoop Relational Database AWS 52

Towards Data Science

OCTOBER 15, 2024

The challenge of consistency: a necessary evil At first glance, it might seem simpler to create one massive data view containing every bit of detail from the raw data. With only one data source, consistency is implied. There are instances when the raw data grows too rapidly.

Architecture 75

Architecture Data Database Systems 75

Rockset

JANUARY 5, 2022

Hopefully we can understand how SQL databases aren’t necessarily bound by the limitations of yesteryear, allowing them to remain very relevant in an era of real-time analytics. A Brief History of SQL Databases SQL was originally developed in 1974 by IBM researchers for use with its pioneering relational database, the System R.

Database 52

Database SQL NoSQL Raw Data 52

Knowledge Hut

JANUARY 30, 2024

In today's world, where data rules the roost, data extraction is the key to unlocking its hidden treasures. As someone deeply immersed in the world of data science, I know that raw data is the lifeblood of innovation, decision-making, and business progress. What is data extraction?

ETL Tools 52

ETL Tools Database-centric Data Mining Raw Data 52

ProjectPro

DECEMBER 7, 2021

Keeping data in data warehouses or data lakes helps companies centralize the data for several data-driven initiatives. While data warehouses contain transformed data, data lakes contain unfiltered and unorganized raw data.

Data Pipeline 52

Data Pipeline Architecture Kafka AWS 52

Snowflake

JANUARY 18, 2023

But legacy systems and data silos prevent easy and secure data sharing. Snowflake can help life sciences companies query and analyze data easily, efficiently, and securely. To work with the VCF data, we first need to define an ingestion and parsing function in Snowflake to apply to the raw data files.

Pharmaceutical 98

Pharmaceutical AWS Java Healthcare 98

Rockset

MARCH 19, 2019

Taming Complex Weather Data Using Rockset Doug has developed tools that scrape NWS forecasts hourly for about a hundred points within Allegheny County. The NWS data is represented in nested JSON format, which is difficult to handle in a relational database.

SQL 40

SQL Raw Data Relational Database Manufacturing 40

ProjectPro

JANUARY 19, 2022

The first step is to work on cleaning it and eliminating the unwanted information in the dataset so that data analysts and data scientists can use it for analysis. That needs to be done because raw data is painful to read and work with. Below, we mention a few popular databases and the different softwares used for them.

Data Engineering 52

Data Engineering Data Engineer Engineering Amazon Web Services 52

Rockset

AUGUST 2, 2023

This enrichment data has changing schemas and new data providers are constantly being added to enhance the insights, making it challenging for Windward to support using relational databases with strict schemas. All of these assessments go back to the AI insights initiative that led Windward to re-examine its data stack.

Database-centric 52

Database-centric PostgreSQL Transportation Insurance 52

AltexSoft

SEPTEMBER 23, 2021

An ETL approach in the DW is considered slow, as it ships data in portions (batches.) The structure of data is usually predefined before it is loaded into a warehouse, since the DW is a relational database that uses a single data model for everything it stores. Cumulocity IoT data hub platform.

Architecture 52

Architecture Data Lake Unstructured Data Data Warehouse 52

ProjectPro

FEBRUARY 16, 2023

Data engineers are responsible for these data integration and ELT tasks, where the initial step requires extracting data from different types of databases/files, such as RDBMS, flat files, etc. Engineers can also use the "LOAD DATA INFILE" command to extract data from flat files like CSV or TXT.

Data Engineering 52

Data Engineering Data Engineer SQL Engineering 52

Knowledge Hut

JANUARY 18, 2024

Data science is a multidisciplinary field that combines computer programming, statistics, and business knowledge to solve problems and make decisions based on data rather than intuition or gut instinct. It requires mathematical modeling, machine learning, and other advanced statistical methods to extract useful insights from raw data.

Data Science 52

Data Science Computer Science Programming Language NoSQL 52

ProjectPro

OCTOBER 15, 2014

It is Hive that has enabled Facebook to deal with 10’s of Terabytes of Data on a daily basis with ease. Click here to Tweet) Hive uses SQL, Hive select, where, group by, and order by clauses are similar to SQL for relational databases. Hive lose some ability to optimize the query, by relying on the Hive optimizer.

Hadoop 52

Hadoop Java Unstructured Data SQL 52

AltexSoft

MAY 12, 2023

Structured data is formatted in tables, rows, and columns, following a well-defined, fixed schema with specific data types, relationships, and rules. A fixed schema means the structure and organization of the data are predetermined and consistent.

Unstructured Data 59

Unstructured Data NoSQL Hadoop Data Lake 59

U-Next

OCTOBER 25, 2022

In a database, this programming data manipulation language is used to add, delete, and update information in a database by inserting, omitting, and updating the data. The data can easily be cleansed and mapped to be used for further analysis using this method. .

Business Intelligence 40

Business Intelligence Raw Data Data Cleanse Data 40

Cloudera

DECEMBER 12, 2018

I would like to start off by asking you to tell us about your background and what kicked off your 20-year career in relational database technology? Greg Rahn: I first got introduced to SQL relational database systems while I was in undergrad. There are key-value stores, and many other data storage layers to consider.

Data Warehouse 42

Data Warehouse Relational Database Hadoop Database 42

Knowledge Hut

OCTOBER 30, 2023

The role of a Power BI developer is extremely imperative as a data professional who uses raw data and transforms it into invaluable business insights and reports using Microsoft’s Power BI. Strong knowledge of DAX (Data Analysis Expressions) for creating complex calculations, measures, and calculated columns in Power BI.

BI 52

BI Business Intelligence Data Cleanse Business Analyst 52

Ascend.io

JANUARY 3, 2023

However, most data leaders are finding that technology alone does not cause the organization to deliver new and valuable insights fast enough. Fundamentally, we need an approach that holistically supports the infrastructure, technology, and processes to convert raw data into something valuable and accessible.

Data 52

Data Data Lake Business Intelligence Big Data 52