#Data Lake

Cloud-based Data Lake market size to boom significantly over 2021-2026

Market Study Report presents an extensive report on Cloud-based Data Lake market that offers qualitative information about prevailing trends and a detailed analysis of the growth trajectory of this industry. It also includes a study of the historical data and detailed statistics that will help determine the future scope of the industry in terms of commercialization opportunities.
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Best practices for your unified data warehouse and lake initiatives

The convergence of the data warehouse and the data lake has picked up, according to TDWI research, with 84% of respondents to one survey stating that the unified data warehouse and data lake (DW/DL) was of importance to them. But with so many different approaches to DW/DL unification, how can...
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Slides: Unlocking the Value of Your Data Lake

Unlocking the Value of Your Data Lake from DATAVERSITY. To view the webinar from this presentation, click HERE>>. Today, data lakes are widely used and have become extremely affordable as data volumes have grown. However, they are only meant for storage and by themselves provide no direct value. With up to 80% of data stored in the data lake today, how do you unlock the value of the data lake? The value lies in the compute engine that runs on top of a data lake.

Data Lakes, Time-Series Data, and Industrial Analytics

The challenges of integrating time-series data into data lakes can be overcome by using the right architecture and providing the appropriate metadata. Technology companies, including Amazon and Microsoft, provide organizational data storage called data lakes. These are inexpensive cloud-based solutions that pack substantial promise. The value of a data lake is not just about providing data storage but about establishing a central data location in which users can simply access and use the data. When data is democratized, users can easily discover what data is available and define data views or combinations for specific use cases. They can then make decisions and improvements based on this data and contribute to building a data-driven organization. Therefore, the true value of a data lake can be unlocked.

FiveTran buys HRR, adds $565 funding

Fivetran, which has turned traditional ETL inside out (to ELT) by moving transformation deep into cloud storage, has just added a complementary piece, and bulked up its finding to pump its valuation to $5.6 billion. The acquisition is for HVR, which bulks Fivetran's data replication technology with change data capture...

Data Platform products for Microsoft gaps

Microsoft has a ton of data platform-related products, but there are certain areas where they either don’t have a product or what they have is limited and you need to look at a 3rd-party product to fill that gap. At the company I work at, EY, we are building a data fabric on Azure and I have listed below the areas that we have had to look at other products outside the Microsoft realm:

AĦBARIJIET UK: Il-Karbonju Jintegra d-Data Lake ta 'Narratiive Biex Iżżid id-Dejta Indirizzabbli tal-Pubblikaturi b'600%

Carbon is proud to announce that it has integrated Narratiive’s Data Lake into its Revenue Management Platform to allow South Africa & MENA publishers a wider reach. Carbon and Narratiive have recently announced their partnership. This latest move is a win-win situation for both publishers and advertisers. Narratiive provides actionable...
Dice Insights

Data Engineer Job Interview Questions: What to Expect

In a world increasingly dominated by data, data engineers are critical, as they figure out how to store, move, and clean an organization’s data. Data scientists and analysts, in turn, depend on these engineers’ work in order to mine data for valuable insights. Thanks to the complexity of their jobs,...

Domino Data Lab Upgrades Enterprise MLOps Platform

SAN FRANCISCO, Sept. 17, 2021 — Domino Data Lab, provider of the leading Enterprise MLOps platform trusted by over 20% of the Fortune 100, announced a major upgrade to its model monitoring capabilities so companies can place greater trust in the models they deploy. This and other enhancements — including Domino Model Monitor (DMM) support for AWS, GCP, and Azure — are part of Domino 4.6, available now.
Traders Magazine

The Data Struggle is Real

I recently headlined a session at this year’s InvestOps Connect event, where we talked at length about the data struggle. I’ve been in this industry for longer than I’d like to admit and the fact that we’re still talking about data challenges in 2021 is an unfortunate fact of an industry steeped in legacy systems and an unhealthy love of bespoke Excel sheets, that are not connected to core data sources or controlled in any way.

How to Flatten JSON in Azure Data Factory?

When you work with ETL and the source file is JSON, many documents may get nested attributes in the JSON file. Your requirements will often dictate that you flatten those nested attributes. There are many ways you can flatten the JSON hierarchy, however; I am going to share my experiences with Azure Data Factory (ADF) to flatten JSON.

Data Integration Tech Developer Matillion Raises $150 Million

Cloud data integration technology developer Matillion has raised $150 million in Series E funding, the company said Wednesday, boosting the company’s valuation to $1.5 billion. The new funding is Matillion’s second triple-digit funding round this year: The company raised $100 million in Series D funding in February. Altogether Matillion has...

Anomaly Detection: Why Your Data Team Is Just Not That Into It

Introducing a more proactive approach to data quality: the Data Reliability lifecycle. Delivering reliable data products doesn’t have to be so painful. Here’s why and how some of the best data teams are turning to DevOps and Site Reliability Engineering for inspiration when it comes to achieving a proactive, iterative model for data trust. Introducing: the Data Reliability lifecycle.

Data Space

Accessing and extracting key experimental data across informatics is critical for secondary analysis and applying modern data science practices to merged data sets. The inability to access and analyze experimental data can drive pain in the pursuit of eliminating rework and improving quality in scientific activities. R&D organizations are increasingly challenged to get more from their data through analysis and data science practices, which requires the ability to extract and access the necessary data.

Data streaming service StreamNative takes in $23.7M

StreamNative, which offers a real-time data streaming platform, today announced that it raised $23.7 million in series A funding, at a $133 million post-money valuation, led by Prosperity7 Ventures with participation from Sequoia Capital. The company says that the funds will be used to grow its team and accelerate R&D efforts, as well as build Pulsar’s capabilities to solve for new use cases, develop new integrations, and establish strategic partnerships.

Ahana Joins AWS ISV Accelerate Program to Expand Access to Its Presto Managed Service for Fast SQL on Amazon S3 Data Lakes

Ahana also selected into the invite-only AWS Global Startup Program. Ahana, the Presto company, announced it has been accepted into the AWS ISV Accelerate Program. Ahana Cloud for Presto was launched in AWS Marketplace in December. As a member of the AWS ISV Accelerate Program, Ahana will be able to drive new business and accelerate sales cycles by co-selling with AWS Account Managers who are the trusted advisors in most cases.

Data Lakes Markets, 2027 - Market Timelines & Technology Roadmaps & Market And Product Life Cycle Analysis

DUBLIN, Sept. 16, 2021 /PRNewswire/ -- The "Data Lakes Market, By Component (Solutions, Services), Solutions (Data Discovery, Data Integration and Management), Services, Deployment Mode, Organization Size, Business Function, Vertical - Global Forecast to 2027" report has been added to's offering. The market is expected to grow at a CAGR...